Xin Sui
@xsui98
Chemical Biology PhD student @ChemistryMIT, @Broadinstitute. Undergraduate @Tsinghua_Uni; #spatialtranscriptomics
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! biorxiv.org/content/10.110…
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!
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 nature.com/articles/s4159…
Check this review on spatial omics!
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
Excited to share SWITCH-seq, a multiplexed in situ RNA sequencing method that discerns single-base variations in rRNA. Very honored to work with @D_Rothschild_ , and Theo. Thanks, @WangXiaoLab and @mbarnalab for the incredible support and guidance.
1/9 We show that Human ribosomes have different rRNA sequences, predominantly indels. These include abundant variants such as GGC indels, which form different structures. We visualize variants in single cells and associate them with development and cancer. doi.org/10.1016/j.xgen…
To fill the gap in cross-sample, cross-technology, and single-cell level spatial analyses, we created CAST to search, match, and visualize both similarities and differences of spatial molecular features across multiple samples. 1/5 @WangXiaoLab @tangzefang
Search and Match across Spatial Omics Samples at Single-cell Resolution biorxiv.org/cgi/content/sh… #biorxiv_bioinfo
Now online! Multimodal charting of molecular and functional cell states via in situ electro-sequencing dlvr.it/Smnh4f
New way to measure translation!
RIBOmap for spatially resolved single-cell translatomics is published today! Congrats to the whole team and thanks so much for the constructive feedback and great suggestion from the editor, reviewers, colleagues, and friends! science.org/doi/10.1126/sc…
Thrilled to share RIBOmap, a 3D in situ profiling method to detect mRNA translation for thousands of genes simultaneously in the context of subcellular architecture, cell types, and tissue anatomy led by @huzengHZ @jiahaoh511 @JingyiRen biorxiv.org/content/10.110…
Thanks!
In this Graduate Student Spotlight, Xin Sui of Professor Xiao Wang's group shares the most interesting place he’s visited, the bit of trivia he knows that is interesting, yet useless, the most heartwarming thing he’s ever seen, and more: chemistry.mit.edu/chemistry-news…
Thrilled to share our new preprint @XiaoWan38018817: in situ electro-seq that integrates soft bioelectronics, in situ sequencing, and machine learning to chart stem cell electrophysiology and gene expression at single cell resolution across time and space biorxiv.org/content/10.110…
I really enjoy reading the first preprints from new labs, esp when they are awesome. Here are 2: From @kieranrcampbell Annotating single-cell proteomic data: biorxiv.org/content/10.110… From @XiaoWan38018817 Multi-scale clustering of spatial gene expression: biorxiv.org/content/10.110…