Scalable Spatial Transcriptomics Through Computational Array Reconstruction скачать в хорошем качестве

Scalable Spatial Transcriptomics Through Computational Array Reconstruction

Revolutionizing Spatial Transcriptomics: New Imaging-Free Method! Spatial transcriptomics maps gene expression data to specific locations in a tissue section, revealing cellular heterogeneity, spatial organization, and functional interactions. Traditional methods require specialized imaging to track RNA molecules within tissues or indexed capture arrays. In this publication highlight, Fei Chen, Ph.D., and Chenlei Hu of Broad Institute of Harvard and MIT, discuss a new, imaging-free spatial transcriptomics approach that opens the door for high-throughput, cost-effective, and large-scale studies without the need for expensive setups. This new method uses dimensionality reduction to computationally reconstruct array barcode locations used in spatial transcriptomics measurements with high resolution and fidelity. Published in Nature Biotechnology. Link to the paper in Nature Biotechnology: https://www.nature.com/articles/s4158... Code available: http://github.com/Chenlei-Hu/Slide_re... Fei Chen Lab: https://www.insitubiology.org/ Learn more about the Opportunity Fund program and the other projects it has funded: https://genometdcc.org/opportunity-fu... Don't forget to like, comment, and subscribe for more insights into the world of genomics and innovative research methods! Disclaimer: Genome TDCC does not endorse or recommend any commercial products or services. Inclusion of a speaker's views or opinions on our channel does not constitute endorsement by Genome TDCC, The Jackson Laboratory (JAX), National Human Genome Research Institute (NHGRI), or the U.S. Government. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring to the exclusion of other available products, processes, or services. #SpatialTranscriptomics #GeneExpression #ImagingFreeTech #Biotechnology #ResearchInnovation #Genomics #TissueStudies #BroadInstitute