Marcelo Tigre Moura, DSc

Interested in applying genomics to explore cell identity and reprogramming.

[nature @Nature]

Nature research paper: Maternal iron deficiency causes male-to-female sex reversal in mouse embryos

https://t.co/lvpTUoZQ65

[Tyler Benster @tbenst]

RIP NIH—not only did the director of the NIH resign today, but the website https://t.co/PaGye1TXDA is down. PubMed, one of the world’s most valuable repositories of medical knowledge, is also down.

[Cell Genomics @CellGenomics]

Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage https://t.co/6RYDDpeJuj

[george church @geochurch]

https://t.co/9DoAUx6gVp

[Aibin He @AibinHe]

Congrats to Min, Yanzhu and Xubin. We invented two cool methods for profiling nearly genome-coverage single-cell histone marks in embryo dev. Single cells with 6 histone marks allow for epigenomic lineage tracing and pinning point cell2cell diff...https://t.co/euQ2Sc99ly

[bioRxiv Bioinfo @biorxiv_bioinfo]

Deep Learning based deconvolution methods: a systematic review https://t.co/vkNCoOMOB7 #biorxiv_bioinfo

[Cell Genomics @CellGenomics]

Long-range enhancer-controlled genes are hypersensitive to regulatory factor perturbations https://t.co/Qh0AqPr9tI

[Nature Reviews Drug Discovery @NatRevDrugDisc]

MYC in cancer: from undruggable target to clinical trials https://t.co/Il5NgfWKwy

This new Review summarizes strategies to inhibit MYC - one of the most infamous oncogenes - focusing on recently described inhibitors and those that have reached clinical trials

[Moritz Mall @MoritzMall]

#CellPlasticity—the ability of cells to change their identity—is vital for tissue growth and repair. But when it goes unchecked, it can fuel #cancer. Our latest study examines how to block #LiverCancer by actively suppressing plasticity. https://t.co/ddl4mJGvhA #CancerBiology

[Leo Zang @LeoTZ03]

Massively parallel characterization of transcriptional regulatory elements | @Nature
- Develope an optimized lentiMPRA (lentiviral massively parallel reporter assay) method to test regulatory activity of >680,000 sequences across three cell types (HepG2, K562, WTC11)
- Train sequence based models to predict the activity of regulatory elements (MPRALegNet, MPRAnn, EnformerMPRA, and SeiMPRA)
- Use MPRALegNet predicts TFBS combinations, fine-mapping and variant effects
Link: https://t.co/YrxJTHOSGa

[nature @Nature]

Injecting old mice with an RNA molecule seems to reverse some signs of ageing — helping them to live longer, regrow hair and maintain their physical and mental abilities

https://t.co/ZWwctQvTDw

[Xi Fu @alexanderfuxi]

GET is finally published!
- Paper: https://t.co/O1jIzeA3xl (new validations, dry and wet)
- Model: https://t.co/WVS6MfKnWS (new tutorial on PBMC 10x Multiome data)
- Analysis package: https://t.co/aswdZG2FRq
- Demo: https://t.co/CYkQMtj8TU
- Docker: https://t.co/rzhO7W0A6U

[Nature Cell Biology @NatureCellBio]

💫NEW: Zhang & co identify the transcription factor GABPA as a regulator of #ZygoticGenomeActivation, #epiblast formation and naive #pluripotency establishment.
https://t.co/zTtsPI7c9A

[nature @Nature]

An artificial-intelligence model trained on data about where DNA is tightly packaged and where it is open to regulators can predict gene expression and interactions between transcription factors that regulate key genes https://t.co/MxolcC7qCp

[Ming "Tommy" Tang @tangming2005]

Transformers in single-cell omics: a review and new perspectives https://t.co/MWZdiRSp69

[Itai Yanai @ItaiYanai]

Our opinion piece is out today, "The origin of novel traits in cancer"! Do the phenotypes come first and only later are they locked in by genetic or epigenetic changes? Insights from evolutionary biology are super useful for understanding cancer! https://t.co/yWLvUE0l22 #S_Frank

[Ivan @chaperones4life]

cBAF generates subnucleosomes that expand OCT4 binding and function beyond DNA motifs at enhancers https://t.co/PN5yk1U2Ed

[Ethan Mollick @emollick]

The R&D spending of Amazon is greater than the R&D spending of all companies and government in France. Alphabet beats Italy.

[Ming "Tommy" Tang @tangming2005]

Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage https://t.co/bwIKbKbSzo

[Martin Pera @martinperaJAX]

Delighted that Janet will be taking over as E-I-C! The journal will be in great hands