🎀 Age influences breast cancer cell and molecular features 🎀
Congrats to our international team for the work featured in the December @nataging.nature.com issue!
@vangalenlab.bsky.social @mgbresearch.bsky.social @harvardmed.bsky.social
🟣🟣🟣 Check out this straightforward method of improving human hematopoietic stem cell expansion by inhibiting ferroptosis 🟣🟣🟣 thanks for including me @bloodgenes.bsky.social #hemesky 🧬🔬🧪
Exciting to see our latest story out in print — with @sandramcallister.bsky.social — on how breast cancer differs between younger and older patients, leading the way to tailored management to improve outcomes 💻🔬🧬🧪
Congratulations! * Rapid epigenomic classification of acute leukemia* — the most innovative and impactful application of long-read sequencing and machine learning I know. Happy to be included!! #hemesky 🩸🧬💻🔬
Congratulations! * Rapid epigenomic classification of acute leukemia* — the most innovative and impactful application of long-read sequencing and machine learning I know. Happy to be included!! #hemesky 🩸🧬💻🔬
This new way of looking at cellular diversity in single-cell sequencing is transformative imo, which is why we've taken a similar approach to study aging blood stem cells. Congratulations @dkotliar.bsky.social and @soumya-boston.bsky.social! 🩸🧪🧬 #hemesky
These findings provide new insight into blood aging at the source, and raise the possibility of targeting inflammatory HSCs to "rejuvenate" blood production in aging 🧪
Thanks Ksenia Safina and collaborators @trowbridgelab.bsky.social @bloodgenes.bsky.social Read more at doi.org/10.1101/2025... 5/5🏁
We discovered a type of stem cells that expand with age and is dominated by a program of inflammation and quiescence (GEP:1 below), which could leave the blood system less able to renew itself 📊 4/5
There is no clear agreement on the effects of aging on HSCs, and how different types of HSCs play into this. So we pulled seven datasets together and re-analyzed them using new bioinformatic methods, revealing a clearer picture 💻 3/5
Aging of blood system leads to health problems such as weakened immunity and a higher risk of anemia. Many of these changes can be traced back to HSCs, which reside in the bone marrow and renew all blood cells 🔬 2/5
Excited to share our latest work on blood aging! To find out why the blood system changes as people age, we started at the source: hematopoietic stem cells (HSCs) #hemesky 🩸🧬 doi.org/10.1101/2025... 🧵 1/5
There is no clear agreement on the effects of aging on HSCs, and how different types of HSCs play into this. So we pulled seven datasets together and re-analyzed them using new bioinformatic methods, revealing a clearer picture 3/5
Aging of blood system leads to health problems such as weakened immunity and a higher risk of anemia. Many of these changes can be traced back to HSCs, which reside in the bone marrow and renew all blood cells 2/5
New insights into the Unfolded Protein Response in hematopoietic stem cells in @bloodjournal.bsky.social this week + commentary from @basitsalik.bsky.social and me🩸🐁 #hemesky doi.org/10.1182/bloo...
Online today! *Aging, Immune Fitness and Cancer* 🔬 Learn the latest about the intersection between these processes in
@natrevcancer.nature.com 🧬 Great to work with
@sandramcallister.bsky.social lab again 😁 doi.org/10.1038/s415...
This may be my favorite paper of the year so far: integrating single-cell leukemia datasets to reveal how differentiation and mutations interact to drive disease, along with a tool that speeds up bone marrow cell annotation from ~4 weeks to ~4 hours..! aacrjournals.org/bloodcancerd... 🔬🩸🧬 #hemesky
Noted!
Whenever the team @posit.co brings out a new feature, it’s exactly how I wished it would be. AI integration done right 🧠 positron.posit.co/assistant @anthropic.com
📣 New preprint 📣
We present a detailed map of nascent and mature ribosomal RNAs in mouse hematopoiesis and AML (including absolute rRNA molecule numbers), and outline principles of rDNA regulation.
Work by Eleanor Sams (@eleanor44.bsky.social) & Victoria Feist (@victoriafeist.bsky.social). (1/x)
Had a great time catching up with friends and learning new science at FASEB Hematologic Malignancies! #hemesky @faseborg.bsky.social #HEMSRC
At the FASEB Heme Malignancies meeting with old friends and new - Pam Sung, Peter Van Galen (@vangalenlab.bsky.social), Julia Maxson (@juliamaxson.bsky.social), Johnathon Shafer. Trying out ales at the @treehousebrewing.bsky.social! #HEMSRC
#positron is rapidly replacing programs and websites I used with a customizable multilingual coding environment for data science (local+cluster+virtual machines) #bash #rstats #python @posit.co
Delighted to share our #hematology review article on mutant calreticulin in #MPN
Congrats to co-authors Drs. Mifra Faiz, Merle Riedemann & Jonas Jutzi. We hope it’s a useful resource, link below! @stanforddeptmed.bsky.social
link.springer.com/article/10.1...
Erasmus MC Hematology Lecture speaker lineup never fails to impress! #hemesky 🧪🩸 mcusercontent.com/71bcc0f3bb8a...
Just a reminder of what is easily in my top 5 of favorite papers from 2023 www.cell.com/iscience/ful... @bailee-kain.bsky.social @thekinglab.bsky.social
Congrats! Look forward to using it
Our latest work is now available to read on bioRxiv! Very proud of this and its potential implications for patients with acute myeloid leukemia 🩸 🧪 🔬💊 **eIF4A-mediated translation initiation as an AML cell vulnerability that can be co-targeted with BCL-2 inhibition** www.biorxiv.org/content/10.1...
Boston’s North End ❄️
I2 is likely the cell barcode. This is a common sequencing setup for 10x scATAC:
* Read1: 50 (genomic DNA)
* P7-i7: 8 (library index)
* P5-i5: 24 (spacer [8] + cell barcode [16])
* Read2: 50 (genomic DNA)
Our new review “Insights into Leukemia from Single-Cell Genomics” is out! Great work by Nurefsan Sariipek @nursariipek.bsky.social 📝 www.annualreviews.org/content/jour... #hemesky 🩸🧬