Mraz Lab retweeted
The IMF mourns the passing of Dr. Robert A. Kyle, the “Father of Myeloma.” His life’s work helped transform myeloma research, treatment, and care, and his influence will continue for generations.
Read more: mmsm.link/3Tf64JB
Mraz Lab retweeted
Replying to @DanaFarber
@DanaFarber’s Cathy Wu, a pioneer in personalized cancer vaccines, spoke with the @nytimes about historic news from @Moderna that a vaccine slowed the return of melanoma and its spread to other parts of the body
nytimes.com/2026/08/19/scien…
Mraz Lab retweeted
Replying to @ENCODE_NIH
@ENCODE_NIH GRAMMAR is now on the UCSC Genome Browser! 🧬 Base-resolution deep learning predictions, sequence contribution scores & motif instances (BPNet, ChromBPNet, ProCapNet, ReporterNet) across thousands of ENCODE experiments. Explore on hg38: genome.ucsc.edu/s/Lou/ENCODE…

ALT UCSC Genome Browser view on human genome hg38 at chr8:127,898,412-127,899,647, showing the ENCODE GRAMMAR track hub. Ten stacked blue signal tracks display ChromBPNet observed and predicted DNase-seq and ATAC-seq signal for the K562 cell line, plus bias-corrected predicted profiles that rise to a sharp central peak, and base-resolution sequence contribution scores. At the bottom, a row of colored blocks marks predicted transcription factor motif instances (including GATA, KLF-SP, ELF-GABP, and FOS-JUN) directly beneath the peak.
Mraz Lab retweeted
The wait ⏰ is over!
Most structure prediction tools give you 1 answer. #RNA just doesn’t work that way - it's the ultimate shapeshifter. Today, we’re launching #RNAccess by Emergente Inc. with access for academic, nonprofit, and commercial researchers.
RNAccess is powered by #RNAnneal, our physics-grounded #AI engine for #RNA structure prediction. By combining physics-based simulation with Generative AI, RNAnneal captures the structural flexibility that makes RNA both incredibly challenging—and incredibly powerful. The workflow is simple:
🧬Submit an RNA sequence of up to 100 nucleotides (long RNAs coming soon).
⚡Receive a thermodynamically ranked ensemble of high-accuracy 3D structures.
🔍Explore results through intuitive, interactive visualizations in your browser.
🦠Example: A key functional region of SARS-CoV-2 #RNA pictured below was predicted + visualized accurately in #RNAccess (with no prior knowledge, just physics!)
We built #RNAccess to make serious RNA structure prediction more accurate, accessible, and useful for researchers working across all RNA work, from fundamental discovery to applied innovations. No local compute. No pipeline setup. No coding experience needed. Not even a GPU bill - we’ve got that covered 🙇
🎓Academic/non-commercial researchers: Receive a free batch of predictions every month, with pay-as-you-go options when you need more.
🏢Commercial teams: Start with a complimentary prediction, then talk with us about evaluation, confidential use, and larger-scale applications.
📍Try RNAccess: emergente-sci.com
📍Contact: [email protected]
Come fold with us 💫
------------------
It took a village to get this far.
Thank you to @NIH-NIGMS, @NSF -Chemistry-CTMC, TEDCO, University of Maryland Institute for Health Computing, Institute for Physical Science and Technology, Montgomery County Government, UMD Chemistry and Biochemistry, @UMDscience, @UMmedschool and many others for financial and other support.
Gratitude to leadership Bradley Maron, MD, Adam Porter, @VarshneyAmitabh, Mark T. Gladwin, MD, Martha Jurczak for their continued faith in our team at University of Maryland Institute for Health Computing and in Emergente Inc. - the first startup out of the IHC!
And finally, huge thanks to our awesome scientific advisers Robert Copeland, Jonathan Dinman and John (Jay) Schneekloth for their guidance.
Mraz Lab retweeted
How to link a non-coding disease GWAS variant to its target genes in the right cell type?
ENCODE-rE2G, now out in @Nature addresses this through optimal integration of chromatin activity and 3D contact data in 1,458 biosamples.
A huge collaborative effort spanning 6+ years led by @argschwind @jengreitz nature.com/articles/s41586-0…
Mraz Lab retweeted
Pretty interesting story in @ScienceMagazine this week on what looks like a serious problem in the senescence field. More than 400 papers apparently used the wrong antibody for p16-INK4a — an antibody that actually recognizes a completely different, unrelated protein (a component of the actin cytoskeleton). This affects work on senescent cell accumulation in aging and disease, and most critically, some of the evidence base for senolytic drug research.
What concerns me most is that many of these papers somehow got the "right" answer using the wrong antibody. That's not just an innocent reagent mix-up — it raises real questions about data fabrication or selective reporting in at least some of these labs. I've commented before about how ignoring data that doesn't fit the narrative is a major problem in certain areas of the longevity literature (e.g. sirtuins and NAD), and here a potentially widespread example in senescence.
Hopefully journals will investigate and retract as necessary, but based on my experience that seems optimistic. One concrete fix is that journals should flag problematic antibody product codes at submission so reviewers can catch this before publication. Reviewers should absolutely be on the lookout for this going forward.
However, these fixes won't address the larger problem. We need to understand how these scientists got the results they wanted and published them over 400 times (!!!): whether through intentional deception, incompetence, accident, or some legitimate explanation.
Credit for discovering this goes to @addictedtoigno1 who wrote about it first on his blog: For Better Science
science.org/content/article/…?
Mraz Lab retweeted
Excited to share the first pre-print from our lab!!
Check it out here! biorxiv.org/content/10.64898…
We found that many RNA-binding proteins understood to regulate RNA processing can also function like transcription factors and cofactors to directly regulate transcription.
Mraz Lab retweeted
Nivo-AVD now approved in Europe for frontline advanced stage Hodgkin lymphoma based upon @SWOG S1826 trial.
lymphomahub.com/medical-info…
Mraz Lab retweeted
Late breaking from #ASCO26 Day 2 for Lymphoma- FrontMIND trial
👉 Tafa+ Len + RCHOP vs RCHOP in 1L DLBCL IPI 3-5
👉 HR for PFS 0.75
👉 2 yr median PFS 72% vs 65%
👉 overall rate G3/4 TEAEs comparable, but increased cytopenias; febrile neutropenia in Tafa/Len/RCHOP
⭐️Potential new SOC option for 1L DLBCL in high risk pts, regardless of COO.
My concerns : Difficult regimen with weekly Tafa and 10 days of Len; higher myelosuppression/VTE risk with Len; plus concern of CD19 loss and efficacy of 2L CAR 🚗
Mraz Lab retweeted
Amazing! I’m impressed both with the results for a disease we have struggled against forever: pancreatic cancer; and the fact that we can target what we thought we could not ever: RAS.
#ASCO26
@NEJM nejm.org/doi/full/10.1056/NE…
Mraz Lab retweeted
Just out: Majestic Majestec-9 results.
#ASCO26 @NEJM
Single agent teclistamab beats standard triplet in relapsed myeloma.
nejm.org/doi/full/10.1056/NE…
@DrOlaLandgren @thanosdimop
Mraz Lab retweeted
38th Olomouc hematology days are coming to its end, ~900 participants from 🇨🇿🇺🇸🇱🇹🇸🇪🇸🇰. Friendship, science and education! Thanks for TOP talks by @MrazLab @GregNowakowski @Dr_Daniel_Molin @prokop_whaaat @Danielakov2 @JamieFlerlage @MarekTrnenyDr team K Polgarova a P Klener! 🤝
Mraz Lab retweeted
To follow the @AACR "Holy Week" we are sharing our new paper out today @BCD_AACR : “3D chromosome remodeling in B-cell development and acute lymphoblastic leukemia.”
Using integrative chromatin architecture, accessibility, and transcriptional analyses, we show that pediatric B-ALL subtypes harbor distinct 3D genomic states that parallel developmental arrest and support subtype-specific oncogenic programs. We further identify ERG as a key regulator in ETV6::RUNX1 B-ALL, with implications for leukemic maintenance and differentiation blockade. Finally, we map 3D changes in healthy human B cell development drawing parallels to specific disease states.
aacrjournals.org/bloodcancer…
Mraz Lab retweeted
I don’t know if you saw the MASSIVE news announced by @ERC_Research today: from now on,if you get a B at step 1 you are eligible to apply at N+3(!!!) years. Say you got a B in STG2026 step 1, you thought you could apply in STG2028, but no: only in STG2029! erc.europa.eu/news-events/ne…
Mraz Lab retweeted
Hopefully first submissions before September (that’s what is currently shown in the forecast).
Big news for innovators, founders, and R&D-driven small companies: NIH’s Seed Fund is back in action!
Thanks to new legislation, U.S. small businesses are again able to pursue up to $1.4 billion per year in Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) funding to power breakthrough science, build game-changing technologies, and move solutions toward real-world impact.
Start planning by checking out the funding opportunity forecasts on Grants.gov.
➡️Funding opportunity forecasts: bit.ly/4ccHkIR
📌Key resources for applicants: bit.ly/3OkyeAA
Mraz Lab retweeted
We're in this week's Nature! We propose a model of how a cell learns by running an evolutionary algorithm: exploring different gene-regulatory combinations and using feedback responses to stabilize those combinations that reduce stress levels.
Full text: nature.com/articles/s41586-0…
Mraz Lab retweeted
Z akademicekého sněmu AV: problémem české vědy není neefektivní distribuce prostředků, ale především to, že těch prostředků je málo
Mraz Lab retweeted
Thrilled to see our 2019 publication (Tikhonova et al) pass 1,000 citations. In this study, we mapped in detail the bone marrow micro-environment at single-cell resolution and showed that the niche is far more heterogeneous than previously appreciated. We hope that this work helped define how we think about the cellular architecture that supports hematopoiesis. #BoneMarrow #Hematopoiesis #SingleCell
nature.com/articles/s41586-0…
Mraz Lab retweeted
People often ask how breakthroughs occur in cancer biology-often the story is more complex - the survival plot for myeloma outcomes is extraordinary - improvements come about in incremental steps - in my lifetime treatment of Myeloma has almost transformed into a curable disease
Mraz Lab retweeted
Online Now: Cancer type-specific variation in patterns of driver alterations across 50,000 tumors dlvr.it/TRk4T8



































