We find out where RNA modifications are, what they do, how they do it and why that matters
Joined May 2019
- Tweets852
- Following463
- Followers475
- Likes3.2K
Sho Goh Lab retweeted
Today in @Nature we present the development and characterisation of the first-in-class catalytic inhibitor of METTL1 as a new therapeutic strategy against solid and blood cancers.
Another flagship collaboration between my lab @SCICambridge @Cambridge_Haem (@Cambridge_Uni) and @storm_tx, co-led by my brilliant colleague @OliverRausch and driven by Eliza Yankova, Alexandra Sapetschnig and Beth Thomas.
A big thank you to the long list of authors who participated in this study and provided their critical input and diverse expertise. I am also very thankful and lucky to have the continuous support of @wellcometrust, @LeukUK and @CR_UK.
nature.com/articles/s41586-0…
Sho Goh Lab retweeted
Excited to share our new preprint! ChromE-seq reads 3D chromatin and gene expression in one cell. Across ~400,000 human primary cells, B lineage has the fewest chromatin loops and is most perturbed in trisomy 21, driving the B-cell block in Down syndrome.
biorxiv.org/content/10.64898…
Sho Goh Lab retweeted
We’re proud to announce the launch of Nishimura Bank!
Queuine (Q base) and lysidine (k2C) are available free of charge for researchers!
Please visit our website for details:
rna.chem.t.u-tokyo.ac.jp/en/…
Sho Goh Lab retweeted
I'm not sure you can conclude that biotech in Boston/Cambridge is on the right track right now. Some responses I've gotten this summer about the local ecosystem:
On China: "We'll just out-innovate them" (Not sure how that happens when both home-grown and US-trained Chinese scientists are doing world-class science)
On AI: "It's just a bubble and tech investors will move out of biotech once it pops" (The same plan brick-and-mortar stores had during the dot-com boom)
Feels like the best-case default is SF becomes the US leader for biotech just like semiconductors did in the last century. Worst-case is the US misses out entirely and the world's biotech R&D runs through China. Either way, Boston isn't in the picture unless we start experimenting with new models now
Sho Goh Lab retweeted
Enjoyed reviewing and summarizing this important & reproducible (yes we tried it) paper on how DMSO is sufficient to induce human balstoids from human naive PSCs, emphasizing (again) the great importance cell state has on embryo models formed. Congrat to Mo Li group & @KAUST nature.com/articles/s41422-0…
Sho Goh Lab retweeted
Our Universal Cell Embedding model, trained on a 36-million-cell dataset from various species and tissues, allows the study of organisms well beyond those in the training set: doi.org/10.1038/s41586-026-1…
Source: Rosen et al., Nature, 2026
Sho Goh Lab retweeted
I enjoy using IGV, but I need a more efficient tool for analyzing diploid genomes. So, I developed one for myself. It provides exceptional GPU acceleration, allowing me to uncover all essential information spanning six orders of magnitude. #bioinformatics #genomics #visualization
Sho Goh Lab retweeted
Presented at #ASCO26:
Among patients with previously treated metastatic pancreatic ductal adenocarcinoma, the RAS(ON) inhibitor daraxonrasib led to significantly longer overall survival and progression-free survival than chemotherapy. Full phase 3 RASolute 302 trial results: nej.md/4nWaxvM
@ASCO
ALT Graph from a study published in the New England Journal of Medicine on daraxonrasib versus chemotherapy for metastatic pancreatic cancer. The x-axis represents months, and the y-axis shows the percentage of patients alive. Two lines indicate survival rates: daraxonrasib (blue) and chemotherapy (gray). The bottom section lists patients at risk over time. Title and journal logo are included.
Sho Goh Lab retweeted
Now out in @NatureBiotech ! Do lncRNAs commonly bind 1000s of genomic sites? Maybe they do, but the dozens of studies that report genomic binding maps of lncRNAs are deeply flawed, with probes binding suprious DNA sites rather than RNA-bound ones. nature.com/articles/s41587-0…
A preprint‼️that's bound to ruffle some 🪶 "Widespread DNA off-targeting confounds studies of RNA chromatin occupancy" led by our @MicahGoldrich and Louis Delhaye from @pieter_mestdagh. TL;DR we show that many of lncRNA chromatin occupancy maps are flawed🧵biorxiv.org/content/10.1101/…
Sho Goh Lab retweeted
Probably Craig Venters last interview.
The people who drone on about the necessity of NIH “basic science” are the duds and dropouts of the class.
It’s food stamps for the underachievers.
Sho Goh Lab retweeted
Scalable single-cell total RNA sequencing unifies coding and noncoding transcriptomics go.nature.com/4tjA7MI
Sho Goh Lab retweeted
You are my AI hero. However, I disagree about biology. At this moment, we need more high-quality data, the proper measures, and relevant questions. I actually wrote about this earlier today nitter.gq/msikic/status/19895770…
Sho Goh Lab retweeted
Our new discovery that bacteria utilize extracellular vesicles to deliver RNAs into fungi substantially broadens the paradigm of Cross-Kingdom RNA communication! Big congrats to @J_NinoSanchez, @HuaitongW and all! Thanks for your hard work! cell.com/molecular-plant/abs…
Sho Goh Lab retweeted
アジアRNA業界の至宝Narry Kimさんのご尽力で開催がようやく実現したAsia RNA Clubの記念すべき第一回ミーティングがソウル大学でいよいよ始まります！
Sho Goh Lab retweeted
LOL
For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did:
biorxiv.org/content/10.1101/…
Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.
Sho Goh Lab retweeted
For many of those who were asking on BLOW5 vs POD5 for nanopore signal data, here is a finally detailed benchmark we did:
biorxiv.org/content/10.1101/…
Summary: performance of BLOW5 is >= POD5 (from ~= to 100X, see below), with benefit of having ~3 dependencies instead of >50.
Sho Goh Lab retweeted
cell.com/cell-reports-medici… Excited to share this latest study from the lab. Kudos to Shumei and the team on establishing a precision oncology paradigm (CAN-Scan) with real-world impact and significance for colorectal cancer patients in the clinic.
Sho Goh Lab retweeted
New work from Xueyi and team: Chem-CLIP-Map, a method to map small molecule binding sites on RNA using nanopore sequencing and fragment analyzer.
academic.oup.com/nar/article…
#RNA #ChemCLIP #DrugDiscovery
