Lacuna tool finds hidden protein pockets for small‑molecule binding
In a preprint published on 18 August, Clayton Moor described Lacuna — an open‑source tool that searches for hidden pockets where a small molecule can enter a protein.
In its baseline mode Lacuna builds 20 nearby protein states from a single structure; on one CPU core the median time per chain is 2.6 seconds. Proteins constantly shift shape, and a static model shows only one snapshot, so pockets may open only during motion.
When tested on 925 binding maps with GNINA, the program recovered the correct ligand position in less than 5% cases when given a structure with a loop closing the pocket. Lacuna creates the 20 states using normal modes, finds cavities, merges overlapping ones, and ranks regions by how often they open, their volume, and their displacement.
Ranking changes the outcome. In CryptoBench, the old analytical rule placed the correct region in the top five in 17.8% of cases; a linear model that considers
🔗 Read original →
In a preprint published on 18 August, Clayton Moor described Lacuna — an open‑source tool that searches for hidden pockets where a small molecule can enter a protein.
In its baseline mode Lacuna builds 20 nearby protein states from a single structure; on one CPU core the median time per chain is 2.6 seconds. Proteins constantly shift shape, and a static model shows only one snapshot, so pockets may open only during motion.
When tested on 925 binding maps with GNINA, the program recovered the correct ligand position in less than 5% cases when given a structure with a loop closing the pocket. Lacuna creates the 20 states using normal modes, finds cavities, merges overlapping ones, and ranks regions by how often they open, their volume, and their displacement.
Ranking changes the outcome. In CryptoBench, the old analytical rule placed the correct region in the top five in 17.8% of cases; a linear model that considers
🔗 Read original →
E. coli RNA polymerase transcribes synthetic eight‑letter DNA into RNA
the article published 2 September reports that purified E. coli RNA polymerase — the enzyme that copies DNA into RNA — read a synthetic DNA strand containing four natural and four artificial letters. It incorporated the letters P, Z, B, and S into RNA and continued elongation after a P:Z pair.
Normal DNA stores hereditary information with four letters: A, T, G, and C. In 2019 researchers created the Hachimoji system and added P, Z, B, and S to them. The new letters form pairs P:Z and B:S, preserving the double‑helix shape. The whole set was then transcribed into RNA by a modified viral T7 polymerase.
The team of Dun Wan assembled E. coli RNA polymerase with short synthetic DNA fragments and examined the eight nucleotides that make up RNA. Correct P:Z and B:S pairs were incorporated into RNA especially efficiently. For P:Z the attachment rate was about half that of G:C under the same conditions, after which the enzyme continued to synthesize long RNA.
However, the letter Z showed a specific error: under some conditions it loses a proton and can pair with G instead of P. In the Z* variant the nitro group of Z was
🔗 Read original →
the article published 2 September reports that purified E. coli RNA polymerase — the enzyme that copies DNA into RNA — read a synthetic DNA strand containing four natural and four artificial letters. It incorporated the letters P, Z, B, and S into RNA and continued elongation after a P:Z pair.
Normal DNA stores hereditary information with four letters: A, T, G, and C. In 2019 researchers created the Hachimoji system and added P, Z, B, and S to them. The new letters form pairs P:Z and B:S, preserving the double‑helix shape. The whole set was then transcribed into RNA by a modified viral T7 polymerase.
The team of Dun Wan assembled E. coli RNA polymerase with short synthetic DNA fragments and examined the eight nucleotides that make up RNA. Correct P:Z and B:S pairs were incorporated into RNA especially efficiently. For P:Z the attachment rate was about half that of G:C under the same conditions, after which the enzyme continued to synthesize long RNA.
However, the letter Z showed a specific error: under some conditions it loses a proton and can pair with G instead of P. In the Z* variant the nitro group of Z was
🔗 Read original →
Nature
Structural basis of transcription of the hachimoji eight-letter alphabet by E. coli RNA polymerase
Nature Communications - Expanded genetic alphabets can increase the functional diversity of nucleic acids, but their compatibility with cellular transcription is uncertain. Here, the authors show...
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify citations: The article published 2 September (date). Probably a journal article. The text: "В статье, опубликованной 2 сентября , авторы изменили короткий ДНК-адрес, который распознаёт бактериофаговый фермент Bxb1." So citation: article published September 2 (year unspecified). We need to wrap date in double asterisks? It's a date, yes key fact. Also numbers: 144 variants, 49–52% recombination, 1.7 times higher, 31% insertion for CD19-CAR, 25% for OTC, 5.8 thousand nucleotides, 31 of 129 regenerated transgene-positive plants.
Gene names: HEK293T, Bxb1, attP, attB, PASSIGE, prime editor, CD19-CAR, OTC.
We need to wrap key numbers and percentages and maybe gene names? The rule: wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. So we can wrap gene names as well but be selective: at most 4-5 per post. So we need to choose maybe 4-5 important facts: e.g., 144 variants, 49–52%, 1.7-fold, 31%, 25%, 5.8 kb, 31 of 129. That's many. Need to limit to 4-5. We can combine some? Perhaps we can wrap only the most salient: 144 variants, 49–52% recombination, 31% insertion for CD19-CAR, 25% for OTC, 5.8 kb cassette. That's 5. Also date maybe not needed if we already have 5. But date is also important. Could replace one. Let's decide: we need at most 4-5. Choose 5: 144 variants, 49–52%, 31%, 25%, 5.8 kb. Also we could include date but then exceed. Maybe we can include date as part of citation? The citation is not required to be wrapped; we wrap study/journal citations in single underscores. The date is part of the citation? The article published 2 September. Could be considered a citation reference. We could wrap the date in single underscores? No, that's for study/journal citations and publication references. So we could put September 2 (or 2 September) as a publication reference. That would be okay. Then we can still have 4-5 double asterisks for numbers.
Thus: double asterisks for: 144 variants, 49–52%, 31%, 25%, 5.8 kb. That's five.
Now single underscores for citation: maybe September 2 or published September 2. The rule: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we can put September 2 as publication reference.
Now we need to format paragraphs: short paragraphs 2-3 sentences each.
Let's craft translation.
First line headline: something like "144 DNA-address variants boost large gene cassette insertion in human cells and rice". Under 90 chars.
Now blank line.
Paragraph 1: talk about article published Sep 2, authors modified short DNA address recognized by phage enzyme Bxb1. Best variants increased successful docking proportion in HEK293T line. In rice same idea with modified Bxb1 helped insert long genetic cassette at chosen genome site.
That's maybe 3 sentences.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No added commentary.
We need to identify citations: The article published 2 September (date). Probably a journal article. The text: "В статье, опубликованной 2 сентября , авторы изменили короткий ДНК-адрес, который распознаёт бактериофаговый фермент Bxb1." So citation: article published September 2 (year unspecified). We need to wrap date in double asterisks? It's a date, yes key fact. Also numbers: 144 variants, 49–52% recombination, 1.7 times higher, 31% insertion for CD19-CAR, 25% for OTC, 5.8 thousand nucleotides, 31 of 129 regenerated transgene-positive plants.
Gene names: HEK293T, Bxb1, attP, attB, PASSIGE, prime editor, CD19-CAR, OTC.
We need to wrap key numbers and percentages and maybe gene names? The rule: wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. So we can wrap gene names as well but be selective: at most 4-5 per post. So we need to choose maybe 4-5 important facts: e.g., 144 variants, 49–52%, 1.7-fold, 31%, 25%, 5.8 kb, 31 of 129. That's many. Need to limit to 4-5. We can combine some? Perhaps we can wrap only the most salient: 144 variants, 49–52% recombination, 31% insertion for CD19-CAR, 25% for OTC, 5.8 kb cassette. That's 5. Also date maybe not needed if we already have 5. But date is also important. Could replace one. Let's decide: we need at most 4-5. Choose 5: 144 variants, 49–52%, 31%, 25%, 5.8 kb. Also we could include date but then exceed. Maybe we can include date as part of citation? The citation is not required to be wrapped; we wrap study/journal citations in single underscores. The date is part of the citation? The article published 2 September. Could be considered a citation reference. We could wrap the date in single underscores? No, that's for study/journal citations and publication references. So we could put September 2 (or 2 September) as a publication reference. That would be okay. Then we can still have 4-5 double asterisks for numbers.
Thus: double asterisks for: 144 variants, 49–52%, 31%, 25%, 5.8 kb. That's five.
Now single underscores for citation: maybe September 2 or published September 2. The rule: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we can put September 2 as publication reference.
Now we need to format paragraphs: short paragraphs 2-3 sentences each.
Let's craft translation.
First line headline: something like "144 DNA-address variants boost large gene cassette insertion in human cells and rice". Under 90 chars.
Now blank line.
Paragraph 1: talk about article published Sep 2, authors modified short DNA address recognized by phage enzyme Bxb1. Best variants increased successful docking proportion in HEK293T line. In rice same idea with modified Bxb1 helped insert long genetic cassette at chosen genome site.
That's maybe 3 sentences.…
🔗 Read original →
Nature
Engineered genomic attachment sites for site-specific recombinases enable high-efficiency integration in plants and human cells
Nature Biotechnology - DNA recombination in rice is optimized by engineering genomic attachment sites.
We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts to bold: numbers like 30–70%, dates (2 сентября), maybe names: Masayoshi Suda, Tamara Chkonia, James Kirkland, Geromedicine, p16, p21, CXCL1, CXCL5, CXCL8, PDGF-AA, TNFα, IL-6, eNOS, etc. Also percentages like 1–1.5% body mass. Also maybe mention "obese mice". Also mention "after intervention". But limit to 4-5 bolded items.
We need to be selective: at most 4-5 per post. So choose maybe: 2 сентября, 30–70%, p16, p21, 1–1.5%? That's 5. Or maybe include drug name? There's no specific drug name given, just senolytics. Could bold "Geromedicine". But we need to keep within limit.
We also need to wrap study/journal citations in single underscores. The citation: "Масаёси Суда, Тамар Чкония и Джеймс Киркленд опубликовали в Geromedicine обзор о стареющих клетках при ожирении." So we need to underscore the journal: Geromedicine. Also maybe date? The date is part of headline? We'll bold date.
Thus we will have: Geromedicine as citation.
Now produce headline: maybe "Senolytics must be tailored to cell type and tissue, review says". Under 90 chars.
Check length: "Senolytics must be tailored to cell type and tissue, review says" length ~55.
Now blank line, then body paragraphs.
We need to split into short paragraphs 2-3 sentences each.
Let's craft paragraphs:
Paragraph 1: Introduce review, authors, date, journal.
Paragraph 2: Explain senolytics, SASP, inflammatory vs growth signals, residual senescent cells after treatment (30–70%), changes in CXCL1/5/8 and PDGF-AA.
Paragraph 3: Mechanisms: protective anti-apoptotic pathways, inflammatory SASP makes cells dependent, senolytics temporarily inhibit.
Paragraph 4: In obese mouse fat tissue, differences by cell type: p21+ progenitors and immune cells have more inflammatory signals; p16+ endothelial subtype more inflammatory with DNA damage, TNFα, IL-6.
Paragraph 5: Time after stress changes marker role: irradiated mice p21+ at 1 month, p16+ accumulate by month 4, clearance only effective late; p16+ immune cells help tolerate infection and irradiation.
Paragraph 6: Tissue, stress, time determine harm vs benefit; endothelial cells ~1–1.5% body mass but line vasculature; exposed to glucose, fatty acids; senescent endothelial SASP drives inflammation and secondary senescence; creates feedback loop with other inflamed cells.
Paragraph 7: Genetic mouse model: drug removed p16+ senescent endothelial cells; obese mice after intervention had reduced fat mass, lipid accumulation, improved glucose tolerance, increased eNOS expression.
Paragraph 8: Conclusion: senolytic design must consider cell type, tissue, stress source; targeting vascular endothelium links blood and fat tissue.
Now we need to bold key numbers/names/dates: choose 2 сентября, 30–70%, p16, p21, 1–1.5% (maybe also eNOS? but that's a gene name; could be bold but we already have 5). We'll keep those 5.
We need to ensure we don't bold whole sentences. So embed bold within sentences.
Also need to wrap journal citation in single underscores: Geromedicine.
Now produce final answer.
Check for any extra formatting: no markdown except bold and underscores. Headline line no markdown.
Make sure blank line after headline, then paragraphs separated by blank lines.
Let's craft.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve facts, numbers, names, citations exactly. No added commentary.
We need to identify important facts to bold: numbers like 30–70%, dates (2 сентября), maybe names: Masayoshi Suda, Tamara Chkonia, James Kirkland, Geromedicine, p16, p21, CXCL1, CXCL5, CXCL8, PDGF-AA, TNFα, IL-6, eNOS, etc. Also percentages like 1–1.5% body mass. Also maybe mention "obese mice". Also mention "after intervention". But limit to 4-5 bolded items.
We need to be selective: at most 4-5 per post. So choose maybe: 2 сентября, 30–70%, p16, p21, 1–1.5%? That's 5. Or maybe include drug name? There's no specific drug name given, just senolytics. Could bold "Geromedicine". But we need to keep within limit.
We also need to wrap study/journal citations in single underscores. The citation: "Масаёси Суда, Тамар Чкония и Джеймс Киркленд опубликовали в Geromedicine обзор о стареющих клетках при ожирении." So we need to underscore the journal: Geromedicine. Also maybe date? The date is part of headline? We'll bold date.
Thus we will have: Geromedicine as citation.
Now produce headline: maybe "Senolytics must be tailored to cell type and tissue, review says". Under 90 chars.
Check length: "Senolytics must be tailored to cell type and tissue, review says" length ~55.
Now blank line, then body paragraphs.
We need to split into short paragraphs 2-3 sentences each.
Let's craft paragraphs:
Paragraph 1: Introduce review, authors, date, journal.
Paragraph 2: Explain senolytics, SASP, inflammatory vs growth signals, residual senescent cells after treatment (30–70%), changes in CXCL1/5/8 and PDGF-AA.
Paragraph 3: Mechanisms: protective anti-apoptotic pathways, inflammatory SASP makes cells dependent, senolytics temporarily inhibit.
Paragraph 4: In obese mouse fat tissue, differences by cell type: p21+ progenitors and immune cells have more inflammatory signals; p16+ endothelial subtype more inflammatory with DNA damage, TNFα, IL-6.
Paragraph 5: Time after stress changes marker role: irradiated mice p21+ at 1 month, p16+ accumulate by month 4, clearance only effective late; p16+ immune cells help tolerate infection and irradiation.
Paragraph 6: Tissue, stress, time determine harm vs benefit; endothelial cells ~1–1.5% body mass but line vasculature; exposed to glucose, fatty acids; senescent endothelial SASP drives inflammation and secondary senescence; creates feedback loop with other inflamed cells.
Paragraph 7: Genetic mouse model: drug removed p16+ senescent endothelial cells; obese mice after intervention had reduced fat mass, lipid accumulation, improved glucose tolerance, increased eNOS expression.
Paragraph 8: Conclusion: senolytic design must consider cell type, tissue, stress source; targeting vascular endothelium links blood and fat tissue.
Now we need to bold key numbers/names/dates: choose 2 сентября, 30–70%, p16, p21, 1–1.5% (maybe also eNOS? but that's a gene name; could be bold but we already have 5). We'll keep those 5.
We need to ensure we don't bold whole sentences. So embed bold within sentences.
Also need to wrap journal citation in single underscores: Geromedicine.
Now produce final answer.
Check for any extra formatting: no markdown except bold and underscores. Headline line no markdown.
Make sure blank line after headline, then paragraphs separated by blank lines.
Let's craft.…
🔗 Read original →
PubMed Central (PMC)
Endothelial senescent-cell-specific clearance alleviates metabolic dysfunction in obese mice
Accumulation of senescent cells is a key contributor to multiple diseases across the lifespan, including metabolic dysfunction. We previously demonstrated that elimination of senescent cells using senolytic drugs alleviates obesity-induced metabolic ...
US Launches National AI Resource Access Center for Science
The United States is establishing a national AI‑resource access center for science. On September 1, the University of California, San Diego announced that the U.S. National Science Foundation has awarded $35 million over five years to the NAIRR Operations Center.
The center will link researchers, educators, and students with computing power, data, AI models, software, and technical support. According to the NSF award notice, the agreement begins October 1 2024 and runs through September 30 2031.
In its first two and a half years, the NAIRR pilot — an NSF program that connects research and education teams with AI resources — has engaged about 900 teams and instructors across all 50 states.
NAIRR‑OC will be led by the San Diego Supercomputer Center at UC San Diego together with the Texas Advanced Computing Center at the University of Texas at Austin. Private, federal, and academic organizations will supply the computing, data, models, and software for research.
The operations center will coordinate providers and pool their resources into a single national online service. Teams can request needed resources in one place, then receive documentation, training, and technical assistance; forums and feedback channels will help the center adapt to user needs.
The center will be built on the existing national services of those two centers, transferring suitable pilot functions into long‑term infrastructure along with user‑access and support procedures. Biomedicine and public health are highlighted as areas where combining computation, data, and AI tools will support reproducible collaborative science.
The grant funds day‑to‑day operations: matching a science team’s request with distributed resources and helping them use those resources in their projects.
🔗 Read original →
The United States is establishing a national AI‑resource access center for science. On September 1, the University of California, San Diego announced that the U.S. National Science Foundation has awarded $35 million over five years to the NAIRR Operations Center.
The center will link researchers, educators, and students with computing power, data, AI models, software, and technical support. According to the NSF award notice, the agreement begins October 1 2024 and runs through September 30 2031.
In its first two and a half years, the NAIRR pilot — an NSF program that connects research and education teams with AI resources — has engaged about 900 teams and instructors across all 50 states.
NAIRR‑OC will be led by the San Diego Supercomputer Center at UC San Diego together with the Texas Advanced Computing Center at the University of Texas at Austin. Private, federal, and academic organizations will supply the computing, data, models, and software for research.
The operations center will coordinate providers and pool their resources into a single national online service. Teams can request needed resources in one place, then receive documentation, training, and technical assistance; forums and feedback channels will help the center adapt to user needs.
The center will be built on the existing national services of those two centers, transferring suitable pilot functions into long‑term infrastructure along with user‑access and support procedures. Biomedicine and public health are highlighted as areas where combining computation, data, and AI tools will support reproducible collaborative science.
The grant funds day‑to‑day operations: matching a science team’s request with distributed resources and helping them use those resources in their projects.
🔗 Read original →
Semaglutide extends lifespan of old female mice by 92 days
The study, published Nature, September 2, used 79 twenty‑month‑old female mice: 40 received a daily injection of semaglutide and 39 got saline injections as a control.
Mice treated with semaglutide lived a median of 834 days, whereas controls reached 742 days, giving an advantage of 92 days. The drug also cut food intake by 24%.
Because semaglutide suppresses appetite, the lifespan gain could stem partly from reduced calorie intake rather than a direct drug effect. Gerontologist Martin Borch Jensen noted that the paper compares the drug to normal feeding but lacks a lifespan curve for mice eating the same reduced amount, asking why there is a calorie‑restriction comparison without a matched‑intake control.
In a separate five‑month cohort the authors compared semaglutide to a 24 % calorie‑restriction regimen; mice in those two groups ate the same amount and were tested for activity, memory and glucose response. The lifelong experiment described above involved daily injections for both groups, so a no‑injection control would be needed to assess any impact of the injection procedure itself.
A future lifelong study that pairs the diet, includes a no‑injection arm, and retains the semaglutide and saline groups would allow researchers to separate the contributions of the drug, reduced food intake, and the injection procedure to the observed lifespan extension. Such a design would clarify whether the lifespan increase attributed to semaglutide is a direct pharmacological effect.
🔗 Read original →
The study, published Nature, September 2, used 79 twenty‑month‑old female mice: 40 received a daily injection of semaglutide and 39 got saline injections as a control.
Mice treated with semaglutide lived a median of 834 days, whereas controls reached 742 days, giving an advantage of 92 days. The drug also cut food intake by 24%.
Because semaglutide suppresses appetite, the lifespan gain could stem partly from reduced calorie intake rather than a direct drug effect. Gerontologist Martin Borch Jensen noted that the paper compares the drug to normal feeding but lacks a lifespan curve for mice eating the same reduced amount, asking why there is a calorie‑restriction comparison without a matched‑intake control.
In a separate five‑month cohort the authors compared semaglutide to a 24 % calorie‑restriction regimen; mice in those two groups ate the same amount and were tested for activity, memory and glucose response. The lifelong experiment described above involved daily injections for both groups, so a no‑injection control would be needed to assess any impact of the injection procedure itself.
A future lifelong study that pairs the diet, includes a no‑injection arm, and retains the semaglutide and saline groups would allow researchers to separate the contributions of the drug, reduced food intake, and the injection procedure to the observed lifespan extension. Such a design would clarify whether the lifespan increase attributed to semaglutide is a direct pharmacological effect.
🔗 Read original →
Nature
Late-life semaglutide treatment slows ageing and extends lifespan in female mice
Nature - Semaglutide treatment for 3 months in female mice improved physiological function, attenuated hallmarks of ageing and modulated nutrient sensors and conserved genetic regulators of...
We need to translate Russian text into English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g. Nature Aging, July 2026).
We need to preserve all facts, numbers, names and citations exactly. No added commentary.
We need to identify citations: The text mentions "Разбор, опубликованный 2 сентября 2026 года". That's a publication date. Also "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So there is a review (разбор) published August? Actually "августовском разборе" (August review). Then "Разбор, опубликованный 2 сентября 2026 года". So we have a review published September 2, 2026. Possibly the citation is the review itself. We need to wrap study/journal citations and publication references in single underscores. So we should put something like August 2026 review or Review published September 2, 2026. But we need to preserve exact citation? The text says "Разбор, опубликованный 2 сентября 2026 года". So we can put that phrase in underscores: published September 2, 2026. But we need to keep the fact exactly. Probably we should wrap the date: 2 September 2026. Also maybe the August review: August 2026 review. However we need to be selective: at most 4-5 double asterisks facts. We'll need to pick key facts: drug names (clozapine, diphenhydramine), gene names (hM4Di, GRANPA), virus (AAV), promoter (hSyn), brain regions (subthalamic nuclei, anterior cingulate cortex), disease (Parkinson's, neuropathic pain, epilepsy). Also numbers: maybe dosage? Not given. So we can pick: clozapine, diphenhydramine, hM4Di, GRANPA, AAV, hSyn, subthalamic nuclei, anterior cingulate cortex, Parkinson's, neuropathic pain, epilepsy. That's many. Need only 4-5 double asterisks. So we must select only a few key facts: maybe the drug names, the gene, the virus, the date. Let's decide: double asterisks for clozapine, diphenhydramine, hM4Di, AAV, 2 September 2026. That's 5.
We must not wrap whole sentences, just those terms.
Now single underscores for study/journal citations: we have the August review and the September 2 publication. We'll wrap those in underscores: August 2026 review and published September 2, 2026 maybe. But we need to preserve exact phrasing? The text: "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So we could wrap "августовском разборе" as August review. And "Разбор, опубликованный 2 сентября 2026 года" as published September 2, 2026. We'll keep the meaning.
Now produce headline: short, under 90 chars. Something like: "Chemogenetic neuron modulation advances toward clinical use". Count characters: Let's count: "Chemogenetic neuron modulation advances toward clinical use". That's 49 characters (including spaces). Good.
Now body: need short paragraphs 2-3 sentences each, separated by blank lines.
We need to translate the Russian content into English, preserving facts.
Let's draft paragraphs.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g. Nature Aging, July 2026).
We need to preserve all facts, numbers, names and citations exactly. No added commentary.
We need to identify citations: The text mentions "Разбор, опубликованный 2 сентября 2026 года". That's a publication date. Also "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So there is a review (разбор) published August? Actually "августовском разборе" (August review). Then "Разбор, опубликованный 2 сентября 2026 года". So we have a review published September 2, 2026. Possibly the citation is the review itself. We need to wrap study/journal citations and publication references in single underscores. So we should put something like August 2026 review or Review published September 2, 2026. But we need to preserve exact citation? The text says "Разбор, опубликованный 2 сентября 2026 года". So we can put that phrase in underscores: published September 2, 2026. But we need to keep the fact exactly. Probably we should wrap the date: 2 September 2026. Also maybe the August review: August 2026 review. However we need to be selective: at most 4-5 double asterisks facts. We'll need to pick key facts: drug names (clozapine, diphenhydramine), gene names (hM4Di, GRANPA), virus (AAV), promoter (hSyn), brain regions (subthalamic nuclei, anterior cingulate cortex), disease (Parkinson's, neuropathic pain, epilepsy). Also numbers: maybe dosage? Not given. So we can pick: clozapine, diphenhydramine, hM4Di, GRANPA, AAV, hSyn, subthalamic nuclei, anterior cingulate cortex, Parkinson's, neuropathic pain, epilepsy. That's many. Need only 4-5 double asterisks. So we must select only a few key facts: maybe the drug names, the gene, the virus, the date. Let's decide: double asterisks for clozapine, diphenhydramine, hM4Di, AAV, 2 September 2026. That's 5.
We must not wrap whole sentences, just those terms.
Now single underscores for study/journal citations: we have the August review and the September 2 publication. We'll wrap those in underscores: August 2026 review and published September 2, 2026 maybe. But we need to preserve exact phrasing? The text: "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So we could wrap "августовском разборе" as August review. And "Разбор, опубликованный 2 сентября 2026 года" as published September 2, 2026. We'll keep the meaning.
Now produce headline: short, under 90 chars. Something like: "Chemogenetic neuron modulation advances toward clinical use". Count characters: Let's count: "Chemogenetic neuron modulation advances toward clinical use". That's 49 characters (including spaces). Good.
Now body: need short paragraphs 2-3 sentences each, separated by blank lines.
We need to translate the Russian content into English, preserving facts.
Let's draft paragraphs.…
🔗 Read original →
PubMed Central (PMC)
Next-generation chemogenetic inhibition using a brain-permeant non-prescription agent
Chemogenetics allows the controllable manipulation of brain circuits upon delivery of a selective activating ligand, and has been invaluable in dissecting brain circuits underlying many behaviours. The Gαi/o-coupled designer muscarinic receptor ...
Pig Kidney Xenotransplant Keeps Patient Alive for Record 271 Days
Tim Andrews, a 66-year-old from New Hampshire, lived with a transplanted pig kidney for a record 271 days. He had end-stage renal disease caused by type 2 diabetes. Before the operation his chance of receiving a human kidney within five years was only 9%, while the risk of dying or being removed from the waitlist exceeded 40%.
The breakthrough involved deep genetic adaptation of the donor organ – a miniature Yucatan pig named Wilma. Scientists introduced 69 point changes into its genome to block endogenous pig viruses and suppress human immune rejection. Previously no xenotransplant kidney had survived longer than two months, and the first similar attempt in 2024 ended after 52 days due to heart complications.
In this case the pig kidney functioned without issues for about six months before vascular damage led to failure at the ninth month, requiring a temporary return to dialysis. No new anti‑human antibodies or pig pathogens were detected in his blood, allowing a subsequent successful transplant of a human kidney from a deceased donor.
This result first demonstrates that pig organs can serve as an effective temporary “bridge” for critically ill patients at the bottom of waiting lists. Widespread use could alleviate the global donor‑organ shortage, giving patients time to await a human transplant without the severe deterioration caused by prolonged dialysis.
🔗 Read original →
Tim Andrews, a 66-year-old from New Hampshire, lived with a transplanted pig kidney for a record 271 days. He had end-stage renal disease caused by type 2 diabetes. Before the operation his chance of receiving a human kidney within five years was only 9%, while the risk of dying or being removed from the waitlist exceeded 40%.
The breakthrough involved deep genetic adaptation of the donor organ – a miniature Yucatan pig named Wilma. Scientists introduced 69 point changes into its genome to block endogenous pig viruses and suppress human immune rejection. Previously no xenotransplant kidney had survived longer than two months, and the first similar attempt in 2024 ended after 52 days due to heart complications.
In this case the pig kidney functioned without issues for about six months before vascular damage led to failure at the ninth month, requiring a temporary return to dialysis. No new anti‑human antibodies or pig pathogens were detected in his blood, allowing a subsequent successful transplant of a human kidney from a deceased donor.
This result first demonstrates that pig organs can serve as an effective temporary “bridge” for critically ill patients at the bottom of waiting lists. Widespread use could alleviate the global donor‑organ shortage, giving patients time to await a human transplant without the severe deterioration caused by prolonged dialysis.
🔗 Read original →
The Lancet
Porcine kidney xenotransplantation as a bridge to allotransplantation: a first-in-human study
This case shows that porcine kidney xenotransplantation can provide prolonged renal
support and be discontinued without clinically significant allosensitisation or zoonotic
infection. Early cellular rejection resolved with treatment, whereas later graft failure…
support and be discontinued without clinically significant allosensitisation or zoonotic
infection. Early cellular rejection resolved with treatment, whereas later graft failure…
First Complete Map of Male Fly Brain Reveals Full Neural Wiring
The first-ever complete map of the male fruit fly's entire brain is finally ready. It is the largest and most detailed neural blueprint in history, uniquely linking the brain and ventral nerve cord through an intact neck, allowing signals to be traced from eyes to legs.
The map enables cell‑by‑cell comparison of synaptic circuits between males and females, uncovering fundamental mechanisms of sexual dimorphism in behavior. The male CNS contains 166,700 neurons organized into 11,710 strictly identifiable cell types.
To build the model, the fly’s CNS was sliced into ultrathin layers, scanned with high‑resolution electron microscopy, and the millions of images were assembled into a 3D map using artificial intelligence and manual proof‑checking. The total human effort required for reconstruction and synapse verification equals 44 years of continuous work.
The entire dataset is now open to the global scientific community. Researchers worldwide can download and explore the connectome for further studies.
🔗 Read original →
The first-ever complete map of the male fruit fly's entire brain is finally ready. It is the largest and most detailed neural blueprint in history, uniquely linking the brain and ventral nerve cord through an intact neck, allowing signals to be traced from eyes to legs.
The map enables cell‑by‑cell comparison of synaptic circuits between males and females, uncovering fundamental mechanisms of sexual dimorphism in behavior. The male CNS contains 166,700 neurons organized into 11,710 strictly identifiable cell types.
To build the model, the fly’s CNS was sliced into ultrathin layers, scanned with high‑resolution electron microscopy, and the millions of images were assembled into a 3D map using artificial intelligence and manual proof‑checking. The total human effort required for reconstruction and synapse verification equals 44 years of continuous work.
The entire dataset is now open to the global scientific community. Researchers worldwide can download and explore the connectome for further studies.
🔗 Read original →
Cell
Sexual dimorphism in the complete Drosophila male central nervous system connectome
The Drosophila whole male central nervous system connectome enables end-to-end analysis
of sensorimotor circuits. Comparison with existing female datasets shows that brain-wide
wiring differences between the sexes are concentrated in higher centers.
of sensorimotor circuits. Comparison with existing female datasets shows that brain-wide
wiring differences between the sexes are concentrated in higher centers.
We need to translate Russian news post into English, format per rules.
First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify citations: The text mentions "BioPharma APAC published an analysis on August 31". Also mentions "study SELECT". Also mentions "press release Sun Pharma". Also mentions "first data about candidate drug ATX-304 company Cambrian". Also mentions "SELECT" study details.
We need to wrap study/journal citations and publication references in single underscores. For example, the SELECT study is a study; we could wrap as SELECT study? Or maybe the journal? Not given. The text: "Планка видна в исследовании SELECT ." So we can wrap "SELECT" as SELECT. Also "BioPharma APAC published an analysis" - that's a publication reference? Could wrap as BioPharma APAC, August 31? The rule: wrap study/journal citations and publication references in single underscores. So we can treat "BioPharma APAC published an analysis on August 31" as a publication reference: BioPharma APAC, August 31. Also "press release Sun Pharma" maybe Sun Pharma press release. Also "first data about candidate drug ATX-304 company Cambrian" maybe Cambrian, ATX-304 data. But we need to be selective: at most 4-5 double asterisks for important facts. Single underscores for citations can be more? Not limited but we should follow.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. Choose up to 4-5.
Important facts: 17,604 participants, age >45, 39.8 months average follow-up, 6.5% vs 8.0% event rates, patent expiry March 20, price 900-2000 rupees, 750-1300 rupees, ATX-304 data from 23 participants, etc.
We need to be selective: maybe 5 double asterisks.
Let's pick: 17,604 participants, 39.8 months, 6.5% vs 8.0%, March 20 (patent expiry), 900–2,000 rupees (price). That's 5.
But also need drug names: semaglutide, tirzepatide, ATX-304, Cambrian, Sun Pharma. Should we wrap those? They are drug/company names, which are important facts. The rule says wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. So we could wrap drug names as well. But we need to limit to 4-5 total. So we need to choose which to wrap. Perhaps we wrap numbers and percentages, and leave drug names not wrapped? But they said drug/company/gene names are to be wrapped. However we must be selective: at most 4-5 per post. So we need to pick the most important facts. Could wrap: semaglutide, tirzepatide, 17,604 participants, 6.5%, March 20. That's 5. Or we could wrap numbers and dates and leave drug names not wrapped, but risk missing requirement. The rule: "Wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post". So we can choose any combination, but total <=5.
Thus we need to decide which 4-5 to wrap. Let's pick: semaglutide, tirzepatide, 17,604 participants, 6.5%, March 20. That covers drug names, key number, percentage, date.
Alternatively include price range. But we have limit.
We'll go with those.
Now we need to wrap study/journal citations in single underscores. We'll have: BioPharma APAC, August 31, SELECT study, Sun Pharma press release, Cambrian, ATX-304 data maybe.
We need to ensure we don't accidentally double wrap.
Now produce translation.…
🔗 Read original →
First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify citations: The text mentions "BioPharma APAC published an analysis on August 31". Also mentions "study SELECT". Also mentions "press release Sun Pharma". Also mentions "first data about candidate drug ATX-304 company Cambrian". Also mentions "SELECT" study details.
We need to wrap study/journal citations and publication references in single underscores. For example, the SELECT study is a study; we could wrap as SELECT study? Or maybe the journal? Not given. The text: "Планка видна в исследовании SELECT ." So we can wrap "SELECT" as SELECT. Also "BioPharma APAC published an analysis" - that's a publication reference? Could wrap as BioPharma APAC, August 31? The rule: wrap study/journal citations and publication references in single underscores. So we can treat "BioPharma APAC published an analysis on August 31" as a publication reference: BioPharma APAC, August 31. Also "press release Sun Pharma" maybe Sun Pharma press release. Also "first data about candidate drug ATX-304 company Cambrian" maybe Cambrian, ATX-304 data. But we need to be selective: at most 4-5 double asterisks for important facts. Single underscores for citations can be more? Not limited but we should follow.
We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. Choose up to 4-5.
Important facts: 17,604 participants, age >45, 39.8 months average follow-up, 6.5% vs 8.0% event rates, patent expiry March 20, price 900-2000 rupees, 750-1300 rupees, ATX-304 data from 23 participants, etc.
We need to be selective: maybe 5 double asterisks.
Let's pick: 17,604 participants, 39.8 months, 6.5% vs 8.0%, March 20 (patent expiry), 900–2,000 rupees (price). That's 5.
But also need drug names: semaglutide, tirzepatide, ATX-304, Cambrian, Sun Pharma. Should we wrap those? They are drug/company names, which are important facts. The rule says wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. So we could wrap drug names as well. But we need to limit to 4-5 total. So we need to choose which to wrap. Perhaps we wrap numbers and percentages, and leave drug names not wrapped? But they said drug/company/gene names are to be wrapped. However we must be selective: at most 4-5 per post. So we need to pick the most important facts. Could wrap: semaglutide, tirzepatide, 17,604 participants, 6.5%, March 20. That's 5. Or we could wrap numbers and dates and leave drug names not wrapped, but risk missing requirement. The rule: "Wrap the few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. Be selective: at most 4-5 per post". So we can choose any combination, but total <=5.
Thus we need to decide which 4-5 to wrap. Let's pick: semaglutide, tirzepatide, 17,604 participants, 6.5%, March 20. That covers drug names, key number, percentage, date.
Alternatively include price range. But we have limit.
We'll go with those.
Now we need to wrap study/journal citations in single underscores. We'll have: BioPharma APAC, August 31, SELECT study, Sun Pharma press release, Cambrian, ATX-304 data maybe.
We need to ensure we don't accidentally double wrap.
Now produce translation.…
🔗 Read original →
NEJM
Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes
Semaglutide, a glucagon-like peptide-1 receptor agonist, has been shown to reduce the risk of adverse cardiovascular events in patients with diabetes. Whether semaglutide can reduce cardiovascular ...
Typewriter Therapeutics raises $56 million for in‑vivo CAR‑T platform
On 2 September, Typewriter Therapeutics emerged from stealth with a Series A round of $56 million. It is developing a two‑RNA lipid nanoparticle that programs a patient’s T cells to express a CAR receptor.
The company reports proof‑of‑concept in humanized mice and plans first non‑human primate studies by **end 2026
🔗 Read original →
On 2 September, Typewriter Therapeutics emerged from stealth with a Series A round of $56 million. It is developing a two‑RNA lipid nanoparticle that programs a patient’s T cells to express a CAR receptor.
The company reports proof‑of‑concept in humanized mice and plans first non‑human primate studies by **end 2026
🔗 Read original →
PubMed Central (PMC)
Sequence-specific retrotransposition of 28S rDNA-specific LINE R2Ol in human cells
R2 is a long interspersed element (LINE) found in a specific sequence of the 28S rDNA among a wide variety of animals. Recently, we observed that R2Ol isolated from medaka fish, Oryzias latipes, retrotransposes sequence specifically into the target ...
Seattle Launches AI BioDesign to Engineer Novel Proteins and Genes
On 3 September, the Allen Institute, University of Washington, and Fred Hutch Cancer Center announced the AI BioDesign program. In this initiative, AI models propose new protein and gene sequences, while laboratory experiments test them and feed results back to guide the next design round.
The partners note that evolution has explored only a fraction of possible DNA sequences over billions of years, and AI BioDesign aims to access the rest. By iterating between model suggestions and experimental measurements, the project can evaluate many variants in parallel to accelerate discovery.
For specific biological challenges, the teams plan to build tailored models. Program scientific leader David Baker, director of the Institute for Protein Design at the University of Washington, said: “For the first time, the speed of AI is matching the experimental capabilities of synthetic biology. The question shifts from ‘what has nature already made?’ to ‘what else is possible and how can we test it?’”
The Allen Institute creates large open scientific resources; the University of Washington focuses on protein design and DNA research; and Fred Hutch conducts cell and genome studies. Organizers will openly share models, datasets, lab tests, reagents, and benchmarks so other research groups can use them.
🔗 Read original →
On 3 September, the Allen Institute, University of Washington, and Fred Hutch Cancer Center announced the AI BioDesign program. In this initiative, AI models propose new protein and gene sequences, while laboratory experiments test them and feed results back to guide the next design round.
The partners note that evolution has explored only a fraction of possible DNA sequences over billions of years, and AI BioDesign aims to access the rest. By iterating between model suggestions and experimental measurements, the project can evaluate many variants in parallel to accelerate discovery.
For specific biological challenges, the teams plan to build tailored models. Program scientific leader David Baker, director of the Institute for Protein Design at the University of Washington, said: “For the first time, the speed of AI is matching the experimental capabilities of synthetic biology. The question shifts from ‘what has nature already made?’ to ‘what else is possible and how can we test it?’”
The Allen Institute creates large open scientific resources; the University of Washington focuses on protein design and DNA research; and Fred Hutch conducts cell and genome studies. Organizers will openly share models, datasets, lab tests, reagents, and benchmarks so other research groups can use them.
🔗 Read original →
PubMed Central (PMC)
Synthetic Biology of Natural Products Engineering: Recent Advances Across the Discover–Design–Build–Test–Learn Cycle
Advances in genome engineering and associated technologies have reinvigorated natural products research. Here we highlight the latest developments in the field across the discover–design–build–test–learn cycle of bioengineering, from recent progress ...
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify citations: The text mentions "в статье авторы Университетской клиники Эрлангена описали один случай пациентки с БАС: после ассистированного самоубийства её тело охладили, мозг исследовали и поместили в раствор для витрификации." No explicit journal name. It says "в статье" but not which. Could be a specific article? Not given. Might need to treat as citation? The instruction: wrap study/journal citations and publication references in single underscores. If there is no explicit citation, we may not add any. However there is mention of "в статье" but no journal name; we could treat that as a citation placeholder? Probably not. We'll not add underscores unless we see something like a journal name. There's none.
Important facts: numbers: "чуть за пятьдесят" (just over fifty) -> maybe age ~50? Could be "just over 50". We'll wrap age in . Also "шесть часов после смерти охладили до 0 °C". Also "двадцать часов" (twenty hours) before autopsy. "две недели фиксировали при 4 °C". Also "−150 °C". Also "двенадцать минут после юридической смерти". Also "сентября 1" (September 1) date of article? Actually "1 сентября в статье авторы Университетской клиники Эрлангена описали один случай". So date: September 1. Also "БАС" (ALS). Also "Nectome". Also "Donation-Preservation Pathway". We need to select at most 4-5 double asterisk facts. Choose key numbers: age (~50), time to cooling (6 hours), time to autopsy (20 hours), fixation duration (2 weeks), storage temperature (-150°C), time after legal death for Nectome protocol (12 minutes). That's 6; need max 5. We'll pick maybe age, cooling time, autopsy delay, fixation time, storage temperature. Or include Nectome protocol time. Let's decide: age (~50), cooling to 0°C within 6 hours, autopsy started after 20 hours, fixation 2 weeks at 4°C, storage at -150°C. That's 5.
Wrap each in . Ensure not whole sentence.
Now paragraphs: need short paragraphs 2-3 sentences each.
We'll produce headline: maybe "German Clinic Describes Brain Preservation After Assisted Suicide in ALS Patient". Count chars: let's count: "German Clinic Describes Brain Preservation After Assisted Suicide in ALS Patient". That's about 66 characters. Good.
Now blank line.
Now body paragraphs.
We need to preserve facts exactly. Let's translate.
Paragraph 1: Introduce case: On September 1, authors from University Hospital Erlangen described a case of an ALS patient who underwent assisted suicide, then body cooled, brain examined and placed in vitrification solution.
Paragraph 2: Details: ALS is a progressive disease that robs movement and speech. Patient was just over 50. Clinic offered options: not donate brain, donate tissue for research, or structural preservation (long-term brain storage in biobank). She chose storage; told future tech might map brain structure.
Paragraph 3: Later patient prepared assisted suicide and asked if could combine with donation and preservation. Clinic had no protocol. Planned Nectome protocol requires preservation start within 12 minutes after legal death; in Erlangen they first needed to agree who receives body and who can authorize. Germany lacked legal framework for post-circulatory arrest vital organ donation. So they agreed on cornea removal, spinal cord research, and autopsy to obtain brain.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify citations: The text mentions "в статье авторы Университетской клиники Эрлангена описали один случай пациентки с БАС: после ассистированного самоубийства её тело охладили, мозг исследовали и поместили в раствор для витрификации." No explicit journal name. It says "в статье" but not which. Could be a specific article? Not given. Might need to treat as citation? The instruction: wrap study/journal citations and publication references in single underscores. If there is no explicit citation, we may not add any. However there is mention of "в статье" but no journal name; we could treat that as a citation placeholder? Probably not. We'll not add underscores unless we see something like a journal name. There's none.
Important facts: numbers: "чуть за пятьдесят" (just over fifty) -> maybe age ~50? Could be "just over 50". We'll wrap age in . Also "шесть часов после смерти охладили до 0 °C". Also "двадцать часов" (twenty hours) before autopsy. "две недели фиксировали при 4 °C". Also "−150 °C". Also "двенадцать минут после юридической смерти". Also "сентября 1" (September 1) date of article? Actually "1 сентября в статье авторы Университетской клиники Эрлангена описали один случай". So date: September 1. Also "БАС" (ALS). Also "Nectome". Also "Donation-Preservation Pathway". We need to select at most 4-5 double asterisk facts. Choose key numbers: age (~50), time to cooling (6 hours), time to autopsy (20 hours), fixation duration (2 weeks), storage temperature (-150°C), time after legal death for Nectome protocol (12 minutes). That's 6; need max 5. We'll pick maybe age, cooling time, autopsy delay, fixation time, storage temperature. Or include Nectome protocol time. Let's decide: age (~50), cooling to 0°C within 6 hours, autopsy started after 20 hours, fixation 2 weeks at 4°C, storage at -150°C. That's 5.
Wrap each in . Ensure not whole sentence.
Now paragraphs: need short paragraphs 2-3 sentences each.
We'll produce headline: maybe "German Clinic Describes Brain Preservation After Assisted Suicide in ALS Patient". Count chars: let's count: "German Clinic Describes Brain Preservation After Assisted Suicide in ALS Patient". That's about 66 characters. Good.
Now blank line.
Now body paragraphs.
We need to preserve facts exactly. Let's translate.
Paragraph 1: Introduce case: On September 1, authors from University Hospital Erlangen described a case of an ALS patient who underwent assisted suicide, then body cooled, brain examined and placed in vitrification solution.
Paragraph 2: Details: ALS is a progressive disease that robs movement and speech. Patient was just over 50. Clinic offered options: not donate brain, donate tissue for research, or structural preservation (long-term brain storage in biobank). She chose storage; told future tech might map brain structure.
Paragraph 3: Later patient prepared assisted suicide and asked if could combine with donation and preservation. Clinic had no protocol. Planned Nectome protocol requires preservation start within 12 minutes after legal death; in Erlangen they first needed to agree who receives body and who can authorize. Germany lacked legal framework for post-circulatory arrest vital organ donation. So they agreed on cornea removal, spinal cord research, and autopsy to obtain brain.…
🔗 Read original →
PubMed Central (PMC)
Ethical Implementation of Organ Donation Following Medical Assistance in Dying: Recommendations of the Ethics Committee of the…
Medical assistance in dying (MAiD) is legally permitted in a growing number of jurisdictions, and in 6, it can currently be followed by organ donation. Organ donation following MAiD offers patients an opportunity to address transplant needs as a ...
We need to translate Russian news post into natural English, format per rules.
First line: short headline under 90 chars, no markdown, no prefix '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify key facts: dates: "1 сентября в Cell Reports вышла работа" => "On September 1, a study was published in Cell Reports". So date: September 1 (maybe year? Not given). Could be 2025? Not given. We'll keep "September 1". Wrap date in double asterisks? It's a key fact. Also numbers: 30-minute exposure, six hours washout, recovery after up to two hours, after four hours deterioration, etc. Also drug names: CCCP, 3-MA, GP78, MFN1, MGRN1, DELE1–ATF4, Nrf2. Also cell line: U2OS. Also indicator: mKeima. Also mention of hereditary cardiomyopathy? Not needed maybe.
We need at most 4-5 double asterisk facts. Choose: September 1, CCCP, 30‑minute, six‑hour, U2OS, maybe MGRN1, MFN1, GP78, 3‑MA. But limit to 4-5. Let's pick: September 1, CCCP, 30‑minute, six‑hour, U2OS. Could also include MGRN1 as important gene. But we need selective. Perhaps we can include MGRN1 as double asterisk as it's key. But then we exceed 5. Let's decide: 5 facts: September 1, CCCP, 30‑minute, six‑hour, U2OS. That's 5. Good.
Now citations: The study published in Cell Reports on September 1. So we need to wrap that citation in single underscores: Cell Reports, September 1. Actually format: Cell Reports, September 1 (maybe include year if known). We'll just do Cell Reports, September 1.
Now body: need short paragraphs 2-3 sentences each.
Let's craft translation.
Paragraph 1: Introduce study: On September 1, a study was published in Cell Reports, September 1 describing a cellular model where mitochondria after brief chemical stress recovered shape and energy production. Authors found that protein MGRN1 restrained mitophagy — delivery of damaged mitochondria to lysosomes for degradation.
Paragraph 2: Explain mitophagy removes severely damaged mitochondria; in hereditary cardiomyopathy mitophagy also removes toxic protein aggregates. Authors tested intermediate case: can cell restore organelle after reversible damage? They treated lab‑grown human U2OS cells with CCCP, which rapidly disrupts mitochondrial function.
Paragraph 3: After a 30‑minute exposure and washout, mitochondria resumed normal shape within six hours; respiration, ATP production, and inner membrane cristae were restored. Recovery persisted after exposures of up to two hours, but deteriorated after four hours.
Paragraph 4: The mKeima reporter, which turns red when a mitochondrion enters a lysosome, stayed green after brief stress, whereas a mitophagy inducer (deferiprone) produced red spots. These observations, together with respiration measurements, showed functional recovery alongside morphological changes.
Paragraph 5: Researchers pre‑labeled outer‑membrane mitochondrial proteins before stress, immediately after, and after two hours of recovery. Among candidates, MGRN1 showed the strongest increase in mitochondrial association; the outer‑membrane protein MFN1 helped MGRN1 accumulate there.…
🔗 Read original →
First line: short headline under 90 chars, no markdown, no prefix '#'.
Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.
Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.
Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).
We need to preserve all facts, numbers, names, citations exactly. No commentary.
We need to identify key facts: dates: "1 сентября в Cell Reports вышла работа" => "On September 1, a study was published in Cell Reports". So date: September 1 (maybe year? Not given). Could be 2025? Not given. We'll keep "September 1". Wrap date in double asterisks? It's a key fact. Also numbers: 30-minute exposure, six hours washout, recovery after up to two hours, after four hours deterioration, etc. Also drug names: CCCP, 3-MA, GP78, MFN1, MGRN1, DELE1–ATF4, Nrf2. Also cell line: U2OS. Also indicator: mKeima. Also mention of hereditary cardiomyopathy? Not needed maybe.
We need at most 4-5 double asterisk facts. Choose: September 1, CCCP, 30‑minute, six‑hour, U2OS, maybe MGRN1, MFN1, GP78, 3‑MA. But limit to 4-5. Let's pick: September 1, CCCP, 30‑minute, six‑hour, U2OS. Could also include MGRN1 as important gene. But we need selective. Perhaps we can include MGRN1 as double asterisk as it's key. But then we exceed 5. Let's decide: 5 facts: September 1, CCCP, 30‑minute, six‑hour, U2OS. That's 5. Good.
Now citations: The study published in Cell Reports on September 1. So we need to wrap that citation in single underscores: Cell Reports, September 1. Actually format: Cell Reports, September 1 (maybe include year if known). We'll just do Cell Reports, September 1.
Now body: need short paragraphs 2-3 sentences each.
Let's craft translation.
Paragraph 1: Introduce study: On September 1, a study was published in Cell Reports, September 1 describing a cellular model where mitochondria after brief chemical stress recovered shape and energy production. Authors found that protein MGRN1 restrained mitophagy — delivery of damaged mitochondria to lysosomes for degradation.
Paragraph 2: Explain mitophagy removes severely damaged mitochondria; in hereditary cardiomyopathy mitophagy also removes toxic protein aggregates. Authors tested intermediate case: can cell restore organelle after reversible damage? They treated lab‑grown human U2OS cells with CCCP, which rapidly disrupts mitochondrial function.
Paragraph 3: After a 30‑minute exposure and washout, mitochondria resumed normal shape within six hours; respiration, ATP production, and inner membrane cristae were restored. Recovery persisted after exposures of up to two hours, but deteriorated after four hours.
Paragraph 4: The mKeima reporter, which turns red when a mitochondrion enters a lysosome, stayed green after brief stress, whereas a mitophagy inducer (deferiprone) produced red spots. These observations, together with respiration measurements, showed functional recovery alongside morphological changes.
Paragraph 5: Researchers pre‑labeled outer‑membrane mitochondrial proteins before stress, immediately after, and after two hours of recovery. Among candidates, MGRN1 showed the strongest increase in mitochondrial association; the outer‑membrane protein MFN1 helped MGRN1 accumulate there.…
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Cell Reports
MGRN1 preserves transiently damaged mitochondria for antioxidant-mediated repair
Chen et al. established a cell-based model to investigate mitochondrial recovery after
transient damage. They identified the E3 ligase MGRN1 as a mitochondrial repair regulator
that is recruited via MFN1 and limits excessive mitophagy, thereby promoting preservation…
transient damage. They identified the E3 ligase MGRN1 as a mitochondrial repair regulator
that is recruited via MFN1 and limits excessive mitophagy, thereby promoting preservation…