ProteoArk is a web-based tool that offers a range of computational pipelines for comprehensive analysis and visualization of mass spectrometry-based proteomics …
Source: ACS Publications search.app/PQ59uLoSgMTeFNa99
What can a researcher in an overworked laboratory do to take care of themselves and their lab-mates, and how should they navigate medical disclosure?
go.nature.com/4yCFfhc
The discovery of 𝘏. 𝘱𝘺𝘭𝘰𝘳𝘪 has advanced the prevention and treatment of gastritis, peptic ulcers, and gastric cancer. Progress has been made in the research of 𝘏. 𝘱𝘺𝘭𝘰𝘳𝘪 infection. These advances are discussed in a new review.
Read the Review Article “𝘏𝘦𝘭𝘪𝘤𝘰𝘣𝘢𝘤𝘵𝘦𝘳 𝘱𝘺𝘭𝘰𝘳𝘪 Infection — Advances, Challenges, and the Road Ahead” by Hong Li, MD, PhD, Francis Megraud, MD, and Barry J. Marshall, MD: nej.md/4Bj3O58
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Borrowing an idea from one research discipline to solve a thorny problem in another is an age-old scientific trick. Charles Darwin’s theory of natural selection, for example, famously inspired algorithms in computer science that “evolve” solutions to complex problems.
But such clever leaps are fleetingly rare. For #AI, however, hopping between fields can be a breeze.
Researchers highlighted that ability with the release of 36 preprints produced with a single suite of AI tools called BootLoops. The so-called harness can be used with any large language model, such as Anthropic’s Claude or OpenAI’s ChatGPT.
And in just 3 months, researchers used Claude outfitted with BootLoops to cross-pollinate at a massive scale, spotting—and precisely solving—problems in seemingly unrelated fields that share the same mathematical structures.
The resulting papers range widely, from figuring out the age of sunspots, to analyzing government health policies, to attempting to decipher a mysterious medieval manuscript.
Learn more: scim.ag/3TUUyDJ
Nature research paper: The anatomy of a personal health agent
go.nature.com/4Bl56wH
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
When you type an unpublished idea into a chatbot or coding agent, could it end up being used by the company that built the model—or a rival who asks the right question a year later? And what can you do to reduce the risk?
No setting makes a chatbot fully private, but experts suggest steps that can make leaks much less likely: scim.ag/4sihqtz
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Online Now! Immunoids: Building immunocompetent organoids from human pluripotent stem cells dlvr.it/TVdHYM #stemcells
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Can immunology still surprise itself? dlvr.it/TV8YM0
Introducing the BRaVa results browser v1! 🎉
1.2M+ individuals across 10 global biobanks
44 heritable, disease-relevant traits (and counting)
419M gene- & variant-level association tests
➡️ nikbaya.github.io/brava_brow…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Human organoids that mimic brain development grown for years in lab
nature.com/articles/d41586-0…
nature.com/articles/s41586-0… @Harvard @IreneFaravelli @BolanosAnton @ArlottaLab
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
How can one measure the speed of a ribosome?
One option is to use a microscope. Take some human cells and add 'loops' of RNA to them. Each loop has 321 codons and encodes ten copies of a small peptide, called a SunTag.
These RNA loops do not have a stop codon. Ribosomes in the cell grab onto them, begin translation, and then go around the loop again and again. Each time a ribosome completes one cycle, it makes ten SunTags.
As soon as a SunTag is made, it 'sticks' to the ribosome; there is no stop codon to trigger its release. Then, this SunTag gloms onto an antibody, fused to GFP, floating nearby.
As the ribosome goes around the loop, its chain of SunTag grows longer. More copies of GFP grab onto the peptide chain, and the perceived brightness of the ribosome, when viewed under the microscope, grows accordingly.
By measuring how quickly the ribosome's brightness changes, one can calculate its speed:
First, figure out the brightness of a single GFP. You can do this as a control experiment. Then, knowing that a single loop has 321 codons, and that this creates 10 SunTags, you can deduce that one SunTag (and thus one GFP) corresponds to 32 codons.
Finally, by watching the brightness change over time in steps, or chunks, and multiplying by 32, you can back-calculate to figure out how many amino acids are added by the ribosome each second. The answer, in this experiment, is 2.6.
Video below. Green is the GFP. Red is a tag for the RNA loops.
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
ヒトゲノム計画は、生命の設計図を読み解いた。次に地図化すべきは何か。一つの有力な答えが、細胞と細胞の会話だ。私たちの体は、単独で働く細胞の寄せ集めではなく、互いに信号をやり取りする関係のネットワークでできている。
Nature Biotechnologyの提案論文。Di Carloらは、どの細胞がどの細胞にどう影響するかを網羅的に調べる、ヒト細胞間インタラクトームの機能地図づくりを掲げる。第一歩として構想するのがBillion Cell×Cell Project。単一細胞の解析や空間プロファイリング、高速の細胞選別、遺伝子編集、AIを束ね、数十億規模で細胞ペアの相互作用を体系的に測ろうというものだ。
病気の多くは、細胞どうしの対話の乱れから起きる。その関係を読めれば、免疫やがん、再生の治療設計が変わる。壮大だが、目の付けどころが正しい。※これは実データでなく提案・構想の論文。実現には技術とコストの課題が残る。
出所:Nature Biotechnology(2026)Di Carlo ら Mapping and engineering the human cell–cell interactome(Billion Cell×Cell Projectの提案)
nature.com/articles/s41587-0…
Nature research paper: A compendium of next-generation patient-derived models for diverse cancers
go.nature.com/4q541UH
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
🧠New NIH-funded research has uncovered an aspect of human brain aging that reshapes our approach to age-related cognitive decline and dementia risk.
This knowledge will be critical as we work toward developing earlier detection methods and more effective treatments.
Read the full NIH news release ➡️ nih.gov/news-events/news-rel…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
The human genome may be hiding thousands of unknown proteins. Researchers identified and named these microproteins - overlooked molecules with potential roles in disease & drug discovery.
👇 Learn more about these "peptideins" here 👇
nature.com/articles/d41586-0…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
WES, WGS, what? Considering whole exome sequencing (WES) or whole genome sequencing (WGS)?
This great article featuring input from our CEO and co-founder (and chemist!) @EmilyLeproust has some fantastic tips for making the right choice: biocompare.com/Editorial-Art…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
What's a ribosomes’ role in deciding cell fate? More than we knew med.stanford.edu/news/insigh…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Forgotten myeloma history series #1
I see PANGEA and other models to predict risk of progression in smoldering myeloma based on evolving changes in M protein and hemoglobin during follow up.
But sometimes history is forgotten. We showed this 10 years ago almost to the date. Our model is the simplest and doesn’t need calculators:
0.5 gm/dL increase in M protein occurring concurrently with 0.5 gm/dL drop in hemoglobin qualifies as high risk SMM with >80% risk of progression in 2 years.
If the marrow is 20% or more, the risk is >90% in 2 years.
@PrafulRavi1 @Leif_Bergsagel @Rfonsi1 @BloodCancerJnl
nature.com/articles/bcj20166…
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Singapore offers a generous package for Visiting Professorships. If you are excited about AI in biology and would like to join us at the @astar_gis for 20% of your time, contact me directly. We plan to tightly integrate AI with wet-lab experiments for training and validation.
The Visiting Professorship is open to AI researchers (either in academia or industry) who currently reside outside Singapore. The requirements for the Visiting Professorship are as follows:
A willingness to engage meaningfully with Singapore, including a commitment to spend at least 20% of time to support the collaboration, of which a substantive amount of time should be spent physically in Singapore.
The deadline is soon!! Please share!!!
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
Scientists from MSK and @WeillCornell found that a small subset of T cells, called stem T cells, are responsible for making new T cells and continuously replenishing them in chronic disease.
"We've identified what we believe is a fundamental mechanism, one that the immune system uses broadly to sustain itself in chronic disease," says MSK cancer immunologist Dr. Andrea Schietinger.
Learn more: bit.ly/3TgSLbb
Dr. Rex Devasahayam Arokia Balaya, MPhil., Ph.D. retweeted
We've been reading 2% of the book. Only ~1–2% of the human genome codes for proteins. The rest, enhancers, transposable elements, pseudogenes, non-coding RNAs, was long dismissed as "junk." A new review reframes this dark genome as a major driver of cardiovascular disease, and an emerging therapeutic frontier.
From anti-miRs already in clinical trials for heart failure to lncRNAs targeting cardiac fibrosis: the 98% is finally speaking. Read more in #EHJ.
doi.org/10.1093/eurheartj/eh…
#darkgenome #cardiotwitter @ESC_Journals @escardio


























