Xiao Wang
@WangXiaoLab
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Associate Professor at MIT Chemistry and Core Member at Broad Institute of MIT and Harvard
Joined June 2018
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:
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.
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Why can RNA only be linear or circular? It can be branched! We made multi-tailed mRNA, and we had fun! Here is our story led by brilliant graduate student @HongyuChenChem: and his cartoon illustration👇@ChemistryMIT @broadinstitute
Thrilled to see our work on chemically and topologically engineered mRNA online! Using a chemo-enzymatic approach, we introduced multiple end-modified polyA tails on a single mRNA to boost its stability and translatability overtime.
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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! .
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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
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Excited to share our new work on next-gen mRNA therapeutics led by talented @AbhiAditham and @HailingShi. We developed mRNA-oligonucleotide conjugated RNA (mocRNA) to stabilize RNA and boost protein expression in mammalian cells.
Researchers from @WangXiaoLab have developed next-gen mRNA therapeutics with higher stability and efficiency through ligation. Paper published today in ACS Chemical Biology. Congratulations! .Read more here:
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Excited to share TEMPOmap, our new spatiotemporal transcriptomics method that integrates metabolic labeling with 3D in situ sequencing to simultaneously profile the age and location of individual RNA molecules led by @JingyiRen Haowen Zhou and @huzengHZ
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Happy to share our spatial atlas of the mouse central nervous system at molecular resolution using STARmap PLUS method and ClusterMap ( pipeline led by @HailingShi, @yiyiyihe, @Yiming_Zhou_PhD in collaboration with @ganoopyliujia.
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Huge congrats to Hailing and the whole team, and thanks so much for the suggestions and help from the editor, reviewers, and colleagues through the long journey! Spatial atlas of the mouse central nervous system at molecular resolution:
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.
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Excited to share the collaboration with Prof. Morgan Sheng's lab and Genetech about using STARmap PLUS to dissect AD-associated gene programs and cell types with single-cell and spatial resolutions. Thanks to all the co-workers, editors, and reviewers!
STARmap PLUS, combining high-res spatial transcriptomics with protein detection in the same tissue section, reveals a cellular map of disease progression in an #Alzheimer's mouse model. New from @huzengHZ @jiahaoh511 @PixelDream_cn @WangXiaoLab et al.
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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👇
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!
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Congrats to @JingyiRen, @hzhou99, and the great team! With TEMPOmap, we can snapshot RNA life cycle from birth to death for thousands of genes with single-cell and subcellular resolutions, revealing that RNA kinetics, fast and slow, serves gene functions.
Thrilled to share the publication of TEMPOmap in its final version! It has been a challenging and rewarding journey for the team. Our new method resolves spatiotemporal transcriptomics at subcellular resolution. Check it out if you are interested!
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Thanks so much! Our molecular tissue region analysis was greatly inspired by your earlier work and the concept of unsupervised (non-expert, data-driven), molecular redefinition of neuroanatomy.
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Thank you very much! I'm really looking forward to joining the community in the fall!.
Fortunate to have the talented Xiao Wang joining @ChemistryMIT and @broadinstitute this fall. Looking forward to her studies imaging #RNA
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Thanks Dr. Rong Fan's perspectives on how RIBOmap and the profiling of whole RNA life cycle can serve in the context of spatial multi-omics to bridge the gap between (epi-)genotype to phenotype @RongFan8. BTW, the image illustration is just so cute.
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Also want to highlight two other exciting single-cell ribosome profiling methods: single-cell ribo-seq @AlexandervanOu1 and RIBO-ITC @CenikLab. Now let's study protein translation at single-cell resolution.
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We also like to thank the Stanley Center and Merkin Institute for funding our studies in brain diseases, and Allessandra for writing the new story:
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Thanks for the great contribution from all authors, especially @LDangliang @gjiantin @AbhiAditham and help from @davidrliu. We are also grateful for the support from @OnoPharmaFound and Merkin Institute Fellowship on this project and valuable inputs from the editor and reviewers.
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Also thanks so much for the news & view written by Bei Chen and Tao Pan commenting on this work and our previous multi-tail constructs
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Thank you so much, Karl @KarlDeisseroth!
Amazing body of work @XiaoWan38018817 (Xiao Wang) and @weallen1 (Will Allen)-- and the whole STARmap team. a joy to work with this constellation of stars! 😃
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Congrats to the team led by talented graduate students @HongyuChenChem @LDangliang @AbhiAditham and critical contributions from everyone. Big thanks to our collaborators on the covid vaccine demo @mircoscopy @zhangf @TheXavierLab, funding from @OnoPharmaFound, Klarman Cell.
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@ChemicalBiology @KiesslingGroup @UWMadisonChem @UWBiochem @ChemistryMIT @theNAMedicine Congrats, Laura!.
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@xinniej @zhangf @ArlottaLab @jzlevin @seankenneths @Ashwins_shetty @LodatoS_Lab @elisebrobinson Congrats, Xin!.
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