Shuchen Luo

4th-year PhD Candidate @ChemistryMIT & @broadinstitute. BSc Chemical Biology 21’ @Tsinghua_Uni, Beijing

[Shuchen Luo @nemo08061]

CAST enables physical alignment of spatial omics data across replicates, techs, modalities at single-cell resolution. Such accurate alignment enables spatial atlas searching, unbiased DEG identification, and reconstruction of spatial multi-omics. DM for questions and collabs!

[Nature Methods @naturemethods]

With the growing availability of spatial omics data from different techniques, CAST offers a computational tool for reconstructing single-cell multi-omic profiles and downstream analysis in a spatially resolved manner. @WangXiaoLab

https://t.co/iIdviIu4Wi

[Itai Yanai @ItaiYanai]

My guidelines for exploratory data analysis

[Hongyu Chen @HongyuChenChem]

Synthesizing RNA can be as fun as LEGO puzzles! This work is co-led by my incredible colleagues @LDangliang and @AbhiAditham . Huge thanks to my supervisor @WangXiaoLab for such amazing ideas. We are also grateful for the editor, reviewers, and all collaborators along the way.

[Xiao Wang @WangXiaoLab]

Chapter 2 of branched RNA: chemically modified branched cap for multi-capped mRNA and capped circular RNA (QRNA)--the cellular translation machinery is surprisingly tolerant of unnatural structures! Beyond enhanced performance, the mechanism is intriguing: https://t.co/iGynbJb8b8

[Xiao Wang @WangXiaoLab]

Happy to share CAST as the "BLAST" tool for spatial omics, searching and aligning similar patterns across datasets while revealing their differences with prototype demo of querying new data against reference spatial atlas and comparative spatial studies👇https://t.co/lNaPq9FwiQ

[Xin Sui @xsui98]

Excited to share Deep-STARmap and Deep-RIBOmap! We enabled spatial transcriptomic and translatomic mapping of >1K genes in 200 µm thick tissue and neuron morphology co-profiling.

Thanks @WangXiaoLab for unwavering support; Jennifer for human skin study! https://t.co/2m099QLrCX

[Manolis Kellis @manoliskellis]

The field of #ComputationalBiology has changed dramatically in the last few years with #GenerativeAI.
I'm excited to be recording my lectures again this year, and to be teaching with the awesome @EjAlm.
You can find the first lecture here: https://t.co/dBuv9M2aOX
and more will be coming in the playlist below.
Fall 2024: https://t.co/o5RBYluZXI
Spring 2021: https://t.co/1rHgfil6W2
Fall 2020: https://t.co/ekCtSr6qMn
#CompBio #DeepLearning #MachineLearning #Genomics #Therapeutics #RepresenationLearning #Chemistry #ProteinFolding #ClinicalRecords #SingleCell

[Shuchen Luo @nemo08061]

Paper link: https://t.co/0HGG2GyP8H
Code, docs and tutorial available at https://t.co/xZWyorxeIu

[Shuchen Luo @nemo08061]

CAST enables physical alignment of spatial omics data across replicates, techs, modalities at single-cell resolution. Such accurate alignment enables spatial atlas searching, unbiased DEG identification, and reconstruction of spatial multi-omics. DM for questions and collabs!

[Nature Methods @naturemethods]

With the growing availability of spatial omics data from different techniques, CAST offers a computational tool for reconstructing single-cell multi-omic profiles and downstream analysis in a spatially resolved manner. @WangXiaoLab

https://t.co/iIdviIu4Wi

[Nature Methods @naturemethods]

With the growing availability of spatial omics data from different techniques, CAST offers a computational tool for reconstructing single-cell multi-omic profiles and downstream analysis in a spatially resolved manner. @WangXiaoLab

https://t.co/iIdviIu4Wi

[Lukas Valihrach @LukasValihrach]

Search and match across spatial omics samples at single-cell resolution https://t.co/VImXSaAJhp

[Rena Ren @JingyiRen]

Spatial omics technology is transforming our understanding of in situ RNA biology. We are grateful for the opportunity to publish this review in @MolecularCell. We hope this will be a useful resource for the community. @HailingShi @nemo08061 @WangXiaoLab

[Molecular Cell @MolecularCell]

Online Now: Spatial omics advances for in situ RNA biology https://t.co/oFwi54RL5g

[allen institute @AllenInstitute]

NOW AVAILABLE - The #BICAN webinar highlighting new information about the whole mouse brain atlas is now available for replay.

Watch: https://t.co/WFvACCqOSV

#studyBRAIN @USBrainAlliance @Nature

[Shuchen Luo @nemo08061]

@lukas_villiger @jgooten @omarabudayyeh @JuliaJoung @LukeKoblan @NatRevMCB Congrats Lukas and team!

[Shuchen Luo @nemo08061]

@CianSU Congratulations Cian!

[Jingjia Liu @ljjchem]

It has been a great pleasure working on this project in which the the initial idea came from creative insights on a protein structure. Huge thanks to @HaotianDu4, Possu and everyone❤️❤️❤️

[Haotian Du @HaotianDu4]

Very excited to share my first paper on TRACeR platform! (and I registered a twitter account for it🫣)

[Nancy Zhang @NancyZh60672287]

How do we uncover cell-cell interactions from #SpatialTranscriptomics data? Excited to share Niche-DE (https://t.co/0LSSqYgodz). Niche-DE asks how does a cell’s transcriptome depend on its spatial neighbors, by identifying Niche-Differentially Expressed genes. 1/9

[Hailing Shi @HailingShi]

Thrilled to see our work finally online! We utilized in situ spatial transcriptomic method STARmap PLUS to map 1.09 million cells in the adult mouse central nervous system at molecular resolution and identified previously unknown tissue architectures.
https://t.co/9tsNO6lvRj

[Nature Methods @naturemethods]

Love napari but missing some ImageJ functions? Look no further than napari-imagej, which provides an accessible and comprehensive solution to ImageJ ecosystem access from napari. https://t.co/9kz9i3LNbL