The Journal Club - Life Sciences & Biotech
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The Journal Club to get updates about recent research advancements from the field of Biology or related fields, computational tools & resources for thesis writing.

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A meta-analysis is a statistical approach that summarize data from different studies. Meta-analysis can be used to identify this common impact when the treatment effects (or effect sizes) are constant across studies. Meta-analysis can be performed to determine the cause of variance in the effect when it differs between studies.

https://www.scientificreporters.com/research/meta-analysis
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In this backlit photograph, a camouflaged glassfrog is shown sleeping on a leaf. The leaf-like appearance of glassfrogs results from highly transparent muscle and belly skin tissue in combination with their translucent green dorsal skin. To maintain tissue transparency, these frogs remove most light-absorbing red blood cells from circulation and hide them in their mirrored livers.
Using Electrical Stimulation for Accelerating Bone Regeneration

– Prarthana Ghosh Dastidar


Got a broken bone? Want to reduce the hassle of wearing a plaster for months?
Researchers at IISc have successfully used electric stimulation to grow bone cells in a culture plate much faster than conventional techniques. In the future, the technology can be used to manufacture implants that can effectively integrate with our bones and heal them faster.

https://iisc.ac.in/using-electrical-stimulation-for-accelerating-bone-regeneration/
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Prime Editing Tool

The best-known gene-editing technology so-far is CRISPR-Cas, but new players are entering the field with more features and improvements. Prime Editing, a new tool which is still in its development, but its uses are far-reaching. Below, we'll take a fast look at the new editing tool and followed by a brief summarisation.

https://www.scientificreporters.com/technology/prime-editing
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43 AI-Powered Tools to (Hugely) Boost Productivity.pdf
31.9 MB
43 AI-Powered Tools to (Hugely) Boost Productivity
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Medicinal AI Was Tweaked To Find 40,000 Chemical Weapons In Just 6 Hours

The
study published in the journal Nature (https://www.nature.com/articles/s42256-022-00465-9.epdf) was conducted by researchers associated with Collaborations Pharmaceuticals.

Most of the results the AI came up with were biochemical weapons, with the aforementioned VX nerve agent being classified as a weapon of mass destruction. To the unaware, VX agent targets lung muscles, diaphragm, causing them to become paralysed.

The AI used to execute this -- MegaSyn was actually earlier used in virtual designing and testing of different chemicals to make sure they weren’t toxic for humans in hopes for looking for new treatments.
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Can Chat-GPT pass the CSIR-JRF examination?

(What's the reason for your no or yes?)
Anonymous Poll
52%
Yes
29%
No
18%
Can't say
Factors influencing degradation kinetics of mRNAs and half-lives of microRNAs, circRNAs, lncRNAs in blood in vitro using quantitative PCR

RNAs are rapidly degraded in samples and during collection, processing and testing. In this study, we used the same method to explore the half-lives of different RNAs and the influencing factors, and compared the degradation kinetics and characteristics of different RNAs in whole blood and experimental samples. Fresh anticoagulant blood samples were incubated at room temperature for different durations, RNAs were extracted, and genes, including internal references, were amplified by real-time quantitative PCR. A linear half-life model was established according to cycle threshold (Ct) values. The effects of experimental operations on RNA degradation before and after RNA extraction were explored. Quantitative analysis of mRNA degradation in samples and during experimental processes were explored using an orthogonal experimental design. The storage duration of blood samples at room temperature had the greatest influence on RNA degradation. The half-lives of messenger RNAs (mRNAs) was 16.4 h. The half-lives of circular RNAs (circRNAs), long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) were 24.56 Β± 5.2 h, 17.46 Β± 3.0 h and 16.42 Β± 4.2 h, respectively. RNA degradation occurred mainly in blood samples. The half-life of mRNAs was the shortest among the four kinds of RNAs. Quantitative experiments related to mRNAs should be completed within 2 h. The half-lives of circRNAs and lncRNAs were longer than those of the former two.

https://www.nature.com/articles/s41598-022-11339-w
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Has anyone observed if penicilin can kill bacteria on a slide under a microscope?
Forwarded from Artificial Intelligence
Facebook just announced LLaMA, a collection of large language models ranging from 7B to 65B parameters, competitive with the state-of-the-art and available to the research community. Checkout Zuckerbergs Post.

By training longer, LLaMA obtains GPT3 175B level performance with a 13B model (It performs like GPT-3 with <10% of the parameters)

LLaMA-65B is competitive with Chinchilla 70B and PaLM 540B. They trained LLaMA using only publicly available data, while most existing models, rely on data which is either not publicly available or undocumented.

Checkout Paper and GitHub repo
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/ask What is gene knockout?
/ask Composition of RPMI Media?
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/ask Which is the rarest blood group in the world?
The Journal Club - Life Sciences & Biotech
https://www.labroots.com/trending/cancer/24797/fasting-hurt-immune-system
The research published uses Huc extracted from Mycobacterium smegmatis which can survive in nutrient deficient condition. Chris Greening earlier published about the survival of M. smegmatis by enhanced co-metabolism of atmospheric H2. Almost nine year later he successfully isolated the Huc enzyme responsible for atmospheric hydrogen gas molecule.

bi0.in/s71?q=tg
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Racker’s particles occur in _________
Anonymous Quiz
32%
Mitochondria
17%
Nucleus
17%
Chromosome
35%
Golgi complex
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NVIDIA today announced an expanded set of generative AI cloud services for customizing AI foundation models to accelerate the creation of new proteins and therapeutics, as well as research in the fields of genomics, chemistry, biology and molecular dynamics.

Part of NVIDIA AI Foundations, the new BioNeMoβ„’ Cloud service offering β€” for both AI model training and inference β€” accelerates the most time-consuming and costly stages of drug discovery. It enables researchers to fine-tune generative AI applications on their own proprietary data, and to run AI model inference directly in a web browser or through new cloud application programming interfaces (APIs) that easily integrate into existing applications.
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