Yang Wang

Single cell epigenomics & gene regulation

[Epigenome Technologies Inc. @EpigenomeTech]

Paired-Tag in the Wild! – “Single-Cell Atlas of Transcription and Chromatin States Reveals Regulatory Programs in the Human Brain” https://t.co/PKmS9wljud

A bioRxiv article employs Droplet Paired-Tag from #EpigenomeTech

#Epigenetics #PairedTag #Multiomics #SingleCell

[Sai Ma @saima_lab]

1/ Exciting news! We just released a preprint on a new single-cell technology, ME-seq, that maps DNA methylation, gene expression & chromatin accessibility—all in the same cell, at scale. And yes, it’s a LOT cheaper 🤑than current methods! 🧬 #SingleCell #Epigenetics

[Shalin Naik @shalinhnaik]

Now out in the July 10th issue of @CellCellPress

LoxCode in vivo barcoding reveals epiblast clonal fate bias to fetal organs: Cell https://t.co/Cd7zpDTe5u

[Waggoner Lab @LabWaggoner]

Expansion in situ genome sequencing links nuclear abnormalities to aberrant chromatin regulation
https://t.co/CObJbeCNsm
@ScienceMagazine @JD_Buenrostro @ajaylabade31 @CarolineComenho

[Cell Genomics @CellGenomics]

Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex https://t.co/FMTR97Kqxo

[Alejo Rodriguez-Fraticelli @AlejoFraticelli]

Absolutely thrilled to share with you the final version of EPIclone, out now (open access) in @Nature.

This has been an amazing collaboration with the lab of Lars Velten (@larsplus) at @CRGenomica

https://t.co/BI12Ir7fyz

[Hao Yin @HaoYin20]

Multiomics single-cell optimal transport
moscot.spatiotemporal

An #OptimalTransport-based common coordinate framework to map & align #SpatialTranscriptomics with single-cell/-nucleus omics data
scalable for millions of cells across multiple time points

vs Tangram gimVI

▶️pancreatic epsilon cell progenitors, fate & regulons

@LickertHeiko @fabian_theis @Nature 2025
https://t.co/XUBbOnxLLp

[Rahul Satija @satijalab]

Interested in single cell genomics but need help getting started? Check out the full agenda for our Single Cell Genomics Day on Friday 4/25. All talks will be live-streamed (no registration required) at https://t.co/JqaO6urVPF

[Omer Ali Bayraktar @bayraktar_lab]

happy to see our cell2fate model out at @naturemethods. It is a completely new take on RNA velocity to disentangle complex cell trajectories from scRNA data & we have some very cool applications coming up! https://t.co/PpOJUvradp

[Sarah Marzi @sj_marzi]

📢 CUT&Tag version 3

Sometimes the preprint to paper route can be quite the odyssey. And so in that vein, we are delighted to give you version 3 of our CUT&Tag optimization and benchmarking manuscript:

https://t.co/OUgpMyG9F7

[Honggui Wu @Wu_Honggui]

dscHi-C allows us to investigate chromatin reorganization during mouse brain aging, while dscHi-C-Multiome reveals the complex relationship between genome structure and gene regulation. Learn more here:
https://t.co/NdDtS7Byqg

[Yan Hu @YanHu41082612]

Super excited to share our new study from the @JD_Buenrostro Lab in @Nature! We developed a computational method for tracking transcription factor and nucleosome binding using single-cell ATAC-seq and deep learning.
Paper: https://t.co/tcGKo1yNx9

[Li Li @Li_Li_666]

We present MethylTree to accurately infer cellular lineages based on DNA methylation epimutations, which really enables noninvasive lineage tracing in humans and non-human primates. Thanks specially to @ShouwenW. https://t.co/IJ2QcAIUfP

[Martin Pera @martinperaJAX]

Modeling early gastrulation in human blastoids with DNA methylation patterns of natural blastocysts: Cell Stem Cell https://t.co/AEGx4oJZRi

[Ming "Tommy" Tang @tangming2005]

2. learning-bioinformatics-at-home https://t.co/PvNJjtMtD7 I started this repo 5 years ago at Harvard FAS informatics.

[Babraham Institute @BabrahamInst]

VACANCY: Postdoctoral Research Scientist
Join the Rugg-Gunn lab as they seek to understand early human development.

Deadline: 5th January
https://t.co/yPbk7QiatY

[Ming "Tommy" Tang @tangming2005]

Pooled CRISPR screens with joint single-nucleus chromatin accessibility and transcriptome profiling https://t.co/AC1x1FqKsh

[Courtney Hanna @cw_hanna]

Happy to see this was published yesterday! It was great working on this with Shankar and @ShifaanT. And thank you to the great editorial team at @NatRevMCB.

[Neville Sanjana @nevillesanjana]

Delighted to share new work from our lab:
MultiPerturb-seq 🎛️❌📥📤

Over the last few years, we've been combining CRISPR screens with multimodal readouts of gene expression (RNA) and chromatin accessibility (DNA). In this study, we bring those together within the same cells.

[Ming "Tommy" Tang @tangming2005]

how does PCA projection work? How do KNN and MNN for label transferring work in Seurat? A blog post on how I attempt to understand it at a low level. #singlecell #bioinformatics RT if you like it! https://t.co/3EvBoFQNCQ