Chen Jinmiao Lab for single cell Immunology and AI
Joined April 2023
- Tweets 99
- Following 88
- Followers 290
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9 Photos and videos
Apr 30
Excited to share our latest work in @NatureGenetics (nature.com/articles/s41588-0…). We introduce SpaMosaic, a new computational method designed to advance spatial omics by mosaic integration of diverse datasets with partially overlapping modalities.
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Apr 30
It provides a versatile framework for unifying the rapidly accumulating heterogeneous spatial omics data into comprehensive tissue atlases.
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Apr 30
Huge thanks to the incredible team and collaborators who made this possible!
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27 Aug 2025
Very excited to share our recent paper titled 'Single-nucleus transcriptomics reveals a distinct microglial state and increased MSR1-mediated phagocytosis as common features across dementia subtypes' published in @GenomeMedicine genomemedicine.biomedcentral…
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29 May 2025
Happy to announce that our Nature Methods paper 'SpatialGlue' was recently featured in A*STAR Research: research.a-star.edu.sg/artic…
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22 May 2025
We would like to announce that disco has moved to disco.bii.a-star.edu.sg/. Thank you for your support ☺️
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29 Apr 2025
Congratulations to Azimuth 2. Delighted that Disco is contributing to this initiative 😊
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Jinmiao Chen Lab retweeted
6 Mar 2025
Excited to share our latest @NatureMedicine study from our new center @ARC_Neuro! 🧠✨ Using spatial transcriptomics & scRNA-seq, we uncover how Aβ-targeting immunotherapies shape microglial responses in AD patient brains.
A thread with our key findings is below! 🧵(1/15)
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7 Mar 2025
Congratulations and very nice study @DGateLab 🙂
7 Mar 2025
More excellent work from the brilliant @LynnOlst. I’m a very proud PI today. More to come from @ARC_Neuro!
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Jinmiao Chen Lab retweeted
6 Mar 2025
Spatial transcriptomics reveals distinct microglial mechanisms driving amyloid-β clearance in both passive and actively immunized #Alzheimer’s disease patients @NUFeinbergMed
nature.com/articles/s41591-0…
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17 Jan 2025
Lab Gathering Lunch and Chinese New Year celebration 🎉🎉🥳 Also all the best to @LongYahui and chengwei as they embark on their new journeys 😊
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Jinmiao Chen Lab retweeted
23 Dec 2024
🎉 Congrats to the Singapore research team on ezSingleCell! 🎉 A game-changer for #singlecell & #spatialbiology, it simplifies data analysis from platforms like Chromium, Visium & Xenium without programming expertise! 🚀 Learn more: nature.com/articles/s41467-0…
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🚀 DISCO December Update 🚀
📊 8,529,538 cells from 1,345 samples across 94 projects added in this month's update! 🎉
Dive in and explore the data that matters to you! 🧬 Check it out here: immunesinglecell.org/
#Bioinformatics #SingleCell #LLM #DISCO
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🎉 Excited to share that our paper DISCO: a database of Deeply Integrated human Single-Cell Omics data has reached 100 citations! 🚀 Grateful for all the researchers utilizing and building upon DISCO. Here's to advancing single-cell biology together! 💡📊
#SingleCell #Bioinformatics
scholar.google.com/citations…
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Jinmiao Chen Lab retweeted
6 Dec 2024
Our keynote of Career Day is a FEBS-powered breakout lecture by Dr. Jinmiao Chen (@CJM_lab)! 🌟
She introduces the fundamentals of spatial omics and shares her lab's cutting-edge AI-driven analysis method, STAMP (Zhong et al., 2024). 🚀
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🚀 scEnrichment Update!
The scEnrichment tool now features an updated reference geneset with 524 cell type 🧬 and phenotype 🔬-related genesets!
🎯 Input your geneset to uncover enriched phenotypes or cell types with ease.
🔗 Try it here immunesinglecell.org/tool/sc…
#scRNAseq #Bioinformatics #Genomics 🧑🔬✨
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Rediscovering publicly available single-cell data with the DISCO platform academic.oup.com/nar/article…
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🚀 Exciting update! DISCO now supports batch downloads—access data from 113,277,088 cells across 18,402 samples with ease. Perfect for training your LLMs or fueling other applications! 🌐📊 #SingleCellData #Bioinformatics #AI @LLM
immunesinglecell.org/downloa…
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Jinmiao Chen Lab retweeted
12 Nov 2024
Our data showed varied functions of myeloid cells in early life while identifying therapeutic targets.
We are grateful to our collaborators @FGinhoux @HongyanWang9 @lai9uan @CJM_lab @Abhay_R_ and their teams for all their support, ideas, tools, and enthusiasm over the years!
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