Lyon_SingleCell

single cell genomics, of course

[ASAPbio @ASAPbio_]

Announcing the ASAPbio Fellow program - a 6-month program that will provide you with tools and skills to drive discussions about #preprints & represent #ASAPbio. Applications close May 15: https://t.co/mSySCwbzO0

[single cell papers @sc_papers]

DNA Methylation Heterogeneity Induced by Collaborations Between Enhancers. https://t.co/eabZUqcEM3

[Nature Communications @NatureComms]

A highly efficient tool to measure cellular heterogeneity in bulk expression through robust integration of single-cell information

https://t.co/fSM5f5b2QW

[Caleb Dawson @calebadawson]

We found a new immune cell in breast ducts!

Tissue-resident ductal macrophages survey the mammary epithelium and facilitate tissue remodelling @NatureCellBio.

Paper+images+videos: https://t.co/7BcKyyKe6l

#macrophages #microscopy #science #research #breastcancer

[. @IreneGhobrial]

Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma | Nature Cancer #mmsm #promise #SU2C https://t.co/B68yPXds9V

[Lyon_SingleCell @LSinglecell]

An interesting re-analysis of Human Cell Atlas (https://t.co/SRfZYtZX4c) data, but would have liked to see #SingleCell data on #COVID19 -infected cells: Single Cell RNA Sequencing of 13 Human Tissues Identify Cell Types and Receptors of Human Coronaviruses https://t.co/yxCqLMzij7

[Martijn Nawijn @MC_Nawijn]

The revision of the carefully annotated lung atlas from Mark Krasnow's lab is online - including #SARSCoV2 relevant genes! Data are available, too!
A molecular cell atlas of the human lung from single cell RNA sequencing https://t.co/OowztwsyM1 @cziscience @humancellatlas

[Rahul Satija @satijalab]

Ultra-high throughput scRNA-seq from Christoph Bock's lab! Combines combinatorial barcoding with droplet microfluidics to sequence >150,000 cells on a single @10xGenomics lane: https://t.co/6OcYAtoIrg

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

Spatial mapping of cell types by integration of transcriptomics data | bioRxiv https://t.co/upB9Twscs3

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

SCIL’s𝙑𝙖𝙣 𝙃𝙚𝙡𝙨𝙞𝙣𝙜 protocol is finally polished: #snRNA & #ATAC-Seq from the 𝐬𝐚𝐦𝐞 nuclei prep | fresh,/frozen/cryopreserved | small clinical samples | @10xGenomics platform | Now the fun starts...! 🤪😁

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

Single-cell RNA-seq data reveals TNBC tumor heterogeneity through characterizing subclone compositions and proportions | bioRxiv https://t.co/6HiQ3nsMPL

[Shian Su @shian_su]

Very excited to announce that CellBench, my R/Bioconductor framework for benchmarking combinations of analysis methods is now published! https://t.co/GxdbhiTphZ

[E. John Wherry @EJohnWherry]

Super excited for our new B cell dysfunction scRNA-seq paper from Ryan Staupe now on BioRxiv (https://t.co/C14fuRxxPp). B cells, GCs, and chronic infection!

[Soumya Raychaudhuri সৌম্য রায়চৌধুরী @soumya_boston]

Excited to report that our widely used single cell RNA-seq integration method Harmony, with @ilyakorsunsky, is now out in print at @naturemethods. https://t.co/ETfbroV3eH

[Luciano Martelotto 🛠🧬💻🇦���� @LGMartelotto]

Absolutely amazing! 😍👏Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing: Cell https://t.co/wCM5C6nBIi

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

Ten quick tips for effective dimensionality reduction ⁦⁦@tangming2005⁩ ⁦@DaneVass⁩ ⁦@RosselloFJ⁩ https://t.co/KLTX5dqUM0

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data: Cell Reports https://t.co/tSz7beQaan

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

✋ Single-Cell Transcriptomics in Cancer Immunobiology: The Future of Precision Oncology https://t.co/AL0muXTn0n

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

GeneSwitches, a tool that takes any single-cell pseudo-time trajectory and determines the precise order of gene-expression and functional-event changes over time. | bioRxiv https://t.co/xEMM3tnILs

[Luciano Martelotto 🛠🧬💻🇦🇺 @LGMartelotto]

A MUST READ!!! 😍 Systematic bias assessment in solid tissue 10x scRNA-seq workflows | bioRxiv https://t.co/JLPsMIHEE2