It is fantastic to finally be able to see this paper in print, great collaboration with everyone:
https://t.co/8uYefyX6gf
MLL-AF4 creates high density enhancer interactions by recruiting a transcription complex including FACT and PAF
Glad to see our review on best practices for single-cell analysis across modalities out @NatureRevGenet! In a big team effort led by @LukasHeumos & @AnnaCSchaar, we recommend workflows based on benchmarks. Paper at https://t.co/dN1jwlmIZA & extension at https://t.co/NVurPpJaHH.
Our newest paper with many great collaborators including @andiroy and @SiobhanRice12 : PAF1 and FACT cooperate with MLL-AF4 to drive enhancer activity in leukemia https://t.co/IYewTfDcIr
This paper is rather special. Thanks everyone (funders, reviewers, collaborators) who believed it could be done, the fabulously talented first author @SiobhanRice12 for her hard work and co-senior authors @milnetom68 & IreneRoberts for unfailing support https://t.co/qU4Yih8pnL
Our article describing a new faithful model of MLL-AF4 infant ALL is out today🎉Thanks to co-authors, funders, and patients/their faimilies for helping make this a reality! Hopefully this will be a powerful model to help understand this aggressive disease
https://t.co/ZXzEmv5kEQ
There's a new preprint calling to stop using UMAP, t-SNE et al, calling them arbitrary "Specious Art", which I disagree with. It's getting a lot of attention, and I think I have an idea why.
📣Happy to share the first preprint of our team at @mpi_bpc in collaboration with @jdavieslab: Analysis of sub-kilobase chromatin topology reveals nano-scale regulatory interactions with variable dependence on cohesin and CTCF. https://t.co/zLsLGxzYkp #3Dgenome#generegulation 👇
In our most recent accepted paper, we use a model network to connect an oncogenic driver mutation with indirect targets, and make predictions about transcription factor interactions. Great job Joe and team! https://t.co/DnZ9ed12wo
Fantastic job Joe and Ross and thanks to all our amazing collaborators @TFulga@andiroy@UKsynbio@MRC_WIMM
Phenotypic analysis of an MLL-AF4 gene regulatory network reveals indirect CASP9 repression as a mode of inducing apoptosis resistance. https://t.co/xELrYrWbin
Our new paper, where we construct an MLL-AF4 gene regulatory network and show how it regulates apoptotic pathways
Phenotypic analysis of an MLL-AF4 gene regulatory network reveals indirect CASP9 repression as a mode of inducing apoptosis resistance. https://t.co/xELrYrWbin