Mingkee Achom (@m_achom) profile picture

Computational Biologist @DanaFarber | Associate Editor @PlantMethods | She/Her | retweets != endorsements | Find me @miachom.bsky.social instead

Boston, MA
Joined July 2011
Photo by Mingkee Achom (@m_achom)Photo by Mingkee Achom (@m_achom)Photo by Mingkee Achom (@m_achom)Photo by Mingkee Achom (@m_achom)Photo by Mingkee Achom (@m_achom)Photo by Mingkee Achom (@m_achom)
The latest issue from @CellCellPress today features our recent publication as Cover picture! Check out how X-chromosome rearrangements can partly explain the female predominance that we observed in this kidney cancer subtype!
The new issue is out 👉cell.com/cell/current Featuring how X chromosome genetics constrains somatic alterations and underlies cancer sex differences, the functional mapping of RAD51C variants in cancer and single-cell genomics identifying markers of neuronal vulnerability and glial states in neurodegenerative disorders. The cover image shows a stylized representation of a rearrangement of the inactive X chromosome that causes activation of X-linked oncogenes (colored region). 📷credit: Hans Haag Studios.⁠
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To save myself from insanity and bots, I’m no longer active in this platform. Please find me at Bluesky instead with the handle @miachom.bsky.social
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🚨 New study! 🚨Excited to share our research on #translocationRCC #tRCC published in @NatMetabolism, in collaboration with @lironbarpeled. We reveal how the TFE3 fusion drives a key oxidative phosphorylation (OXPHOS) metabolic program in this kidney cancer. 1/ @DanaFarberNews
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Our @DanaFarber_GU colleague @srviswanathan awarded today the Team Science Award for his basic work on X chromosome and translocation renal cancer ! @harvardmed @DanaFarberNews @DanaFarber
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😂
OK, now they have REALLY gone too far.
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Throughout my career, I had heard many people say computation is just a tool with no impactful biology. Well, this year’s Nobel theme seems to resonate around big predictive biology from big data! :)
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”
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Mingkee Achom retweeted
What kind of childhood makes a top scientist? Is it enough to have all the right traits (brilliance, grit, etc) or do you need the right family too? And why should we care? A 🧵 on our paper on the Nobel Laureates. A teaser: the income distribution of the laureates' fathers.1/N
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Small and micro but mighty RNA!
This year’s medicine laureates Victor Ambros and Gary Ruvkun studied a relatively unassuming 1 mm long roundworm, C. elegans. Despite its small size, C. elegans possesses many specialised cell types such as nerve and muscle cells also found in larger, more complex animals, making it a useful model for investigating how tissues develop and mature in multicellular organisms. Read how the 2024 medicine laureates’ investigations into C. elegans revealed an entirely new dimension to gene regulation: bit.ly/4dlPE6f #NobelPrize
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Today's @NobelPrize to Ambros and Ruvkun an impt reminder of how much of our knowledge about human health and disease stems from foundational basic science & discoveries in model organisms - even when arc to translation may be very long.
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Our paper on how X chromosome alterations drive sex differences in translocation renal cell carcinoma is now out in print @CellCellPress! Link to explainer thread if you missed it 👉: teapawt.net/srviswanathan/status/1…
The new issue is out 👉cell.com/cell/current Featuring how X chromosome genetics constrains somatic alterations and underlies cancer sex differences, the functional mapping of RAD51C variants in cancer and single-cell genomics identifying markers of neuronal vulnerability and glial states in neurodegenerative disorders. The cover image shows a stylized representation of a rearrangement of the inactive X chromosome that causes activation of X-linked oncogenes (colored region). 📷credit: Hans Haag Studios.⁠
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Thank you @CD_AACR for highlighting our work on #ResearchWatch!
Read Cancer Discovery's #ResearchWatch: X Chromosome Translocations Drive Sex Bias in a Rare Kidney Cancer Subtype. bit.ly/3TnIabJ
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My favourite discovery ever has just come online. Can I please tell you about some seriously wacky molecular biology? The story starts with a reverse transcriptase that SOMEHOW defends bacteria from viruses. (👇 I recommend sound ON for the video 🎹) 1/
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Our own @DanaFarber_GU super star physician-scientist @srviswanathan and team committed to unlock the mysteries behind this rare #kidneycancer subtype : Translocation Renal Cell Carcinoma @DanaFarber @DanaFarberNews @OncoAlert His paper is in @CellCellPress !
Our study on sex differences in Xp11 translocation renal cell carcinoma is out @CellCellPress! We ascribe a genetic basis to the female bias in tRCC, which is driven by a translocation of the TFE3 gene on the X chromosome. w Zhang lab @danafarbernews bit.ly/4dtpNtP 🧵1/
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We’re just one of the many examples that science cannot excel when done in solitude! Extremely grateful to be a member of such a dynamic group and proud to be a mentee of @srviswanathan. I keep learning every day!
Replying to @srviswanathan
This was true team science & only possible b/c of close collaboration w/ C-Z Zhang lab, talented co-first authors @m_achom @sadagopan_A @ChunyangBao & coauthors. 10/
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Our study on sex differences in Xp11 translocation renal cell carcinoma is out @CellCellPress! We ascribe a genetic basis to the female bias in tRCC, which is driven by a translocation of the TFE3 gene on the X chromosome. w Zhang lab @danafarbernews bit.ly/4dtpNtP 🧵1/
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A year after we put it at bioRxiv, I am thrilled to see our work and effort on female sex-bias of translocation renal cell carcinoma (tRCC) to be finally online on @CellCellPress! A 🧵 cell.com/cell/fulltext/S0092…
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7/8 Feel free to learn more about our exciting findings of how X chromosome reactivation can explain cancer sex-bias using whole genome sequencing, bulk-RNA seq, scRNA-seq and methylation data!
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8/8 Lastly, many thanks to all of our hardworking co-authors especially @Sadagopan_A and Chunyang for their extensive contributions and to the reviewers for their valuable suggestions that improved this paper significantly!
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