Jian Shu
@JianShuLab
Assistant Professor @MassGeneralNews @harvardmed, AM @broadinstitute | Decoding and translating the languages of biology
Excited to share our latest collaborative work, Raman2RNA (R2R)! 🚀 Our long-term mission: Build AI models to 'generate' and 'predict' single-cell multi-omics data, evolving biology from 'mapping' to 'mapping+generation and prediction'. 🧬🤖 #DigitalBiology #TeamScience #Hiring
Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA go.nature.com/4b25IKC
The creativity behind SCHAF will set the stage for a slew of works relating imaging and omics data. Come join Charles on a new venture to build a “DALL-E” for biology to generate multi-omics data from various novel imaging modalities for large-scale tissue mapping. We are hiring.
Summer lab retreat 🧬⛵️🏖🥗 ⚽️ We are looking for multiple research fellows at different levels. 👉 jianshulab.org/copy-of-careers #Highthroughputphenotyping, #imaging, #omics, #programming, #reprogramming, #evodevo, #ML.




Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings nature.com/articles/s4146…
When cellular reprogramming meets AI: towards de novo cell design | Nature Reviews Genetics nature.com/articles/s4157…
Excited to share an update on our collaboration with Aviv Regev and Collin Stultz, led by Charles Comiter: predicting single-cell spatial transcriptomics from H&E images using SCHAF. New models, new datasets, and new discoveries. biorxiv.org/content/10.110…

The placenta is one of the most complex and fascinating, yet least studied, human organs. A wonderful collaboration with the amazing members of the Haider and Chen @insitubiology labs. #placenta #HCA #Hiring
The spatial single-cell multiomic atlas of the first trimester human #placenta at molecular resolution provides a blueprint for future studies on early #PlacentalDevelopment and #pregnancy. #HCA @insitubiology @JianShuLab @harvardmed nature.com/articles/s4159…
We are excited to publish a spatially resolved single-cell multi-omic census of the placenta, contributing to the @humancellatlas project. The placenta plays an essential role in maintaining a healthy pregnancy, yet its function remains poorly understood. nature.com/articles/s4159…
The Human Cell Atlas initiative has the monumentally ambitious goal of cataloguing every cell type in the human body, from development to old age, and it is remarkable go.nature.com/411zuwx
We are thrilled to share an HCA Collection of 40+ peer-reviewed papers in @NaturePortfolio shedding light on human development, healthy and disease biology and vital analytical tools. #HCA2024NatureCollection #HumanCellAtlas nature.com/immersive/d428…
Excited to share VIBRANT, a new modality and platform for drug discovery using infrared imaging⚡️#drugdiscovery #imaging #ai
Check out the latest publication from our group! VIBRANT: spectral profiling for single-cell drug responses nature.com/articles/s4159…
We're excited to share Bering, a graph neural network that harnesses subcellular gene colocalization graphs and transfer embeddings for joint cell segmentation and annotation for spatial transcriptomics. @Kang_Jin__ @Oxer22 @tangjianpku @brucearonow We welcome your feedback.
How to decipher subcellular gene patterns in spatial transcriptomics data? We're excited to share Bering, a graph neural network that harnesses subcellular gene colocalization graphs and transfer embeddings for joint cell segmentation and annotation (1/n) biorxiv.org/content/10.110….
2023 summer lab retreat. A fun time to come together, share ideas and foster collaboration! What should we do next year? Any suggestions?🌞🔬🧬🐙🐵#teamwork #labretreat




Come join Charles @cscomiter on a venture to build novel generative models to “generate” single-cell multi-omics data from various imaging modalities and more. #Hiring
This is wild and a complete rethinking of H&E analysis—Aviv Regev’s lab developed a AI-based method for in silico generation of spatially resolved transcriptomic data from an H&E stain. It infers accurate spatial gene expression measured by MERFISH. biorxiv.org/content/10.110…
Thrilled to share my primary PhD work: a Transcription Factor Atlas for understanding gene regulation and cell engineering @CellCellPress. We created a comprehensive TF ORF library and applied it to profile resulting expression changes. A thread 1/X sciencedirect.com/science/articl…
Congrats to Jian Shu, PhD, of the Department of Dermatology, who received an NIH New Innovator Award DP2 with the HEAL Initiative for his project, Scale Up Single-Cell Technologies to Map Pain-Associated Genes and Cells Across the Lifespan! reporter.nih.gov/search/45hB3hO…
Interested in decoding and reprogramming cellular senescence/aging? Join us: 👉 jianshulab.org/copy-of-careers
Several awards have been issued to help our Cellular Senescence Network get one step closer to understanding how #SenescentCells in mice and humans impact #health, #aging, and #disease: go.usa.gov/xShyu. #SenNet
Congrats to @JianShuLab on receiving the 2022 Next Generation Pregnancy Initiative Award from the @BWFUND, a 2022 Expansion Award from @AdditionalVent, MLSC Women’s Health Innovation Award, and an @AdditionalVent SVRF Award! Read more: mgriblog.org/2022/08/03/mas…