{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Walker BL"],"funding":["Simons Foundation","NIDCR NIH HHS","NIAMS NIH HHS","U.S. Department of Health & Human Services | National Institutes of Health","National Science Foundation"],"pagination":["220"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8913632"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["5(1)"],"pubmed_abstract":["The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of transcriptional levels across many genes together with the spatial positions of cells. This has led to an explosion of interest in computational methods and techniques for harnessing both spatial and transcriptional information in analysis of ST datasets. The wide diversity of approaches in aim, methodology and technology for ST provides great challenges in dissecting cellular functions in spatial contexts. Here, we synthesize and review the key problems in analysis of ST data and methods that are currently applied, while also expanding on open questions and areas of future development."],"journal":["Communications biology"],"pubmed_title":["Deciphering tissue structure and function using spatial transcriptomics."],"pmcid":["PMC8913632"],"funding_grant_id":["R01DE030565","DMS1763272","R01 DE030565","U01 AR073159","594598"],"pubmed_authors":["Ren H","Bourgain-Chang E","Nie Q","Walker BL","Cang Z"],"additional_accession":[]},"is_claimable":false,"name":"Deciphering tissue structure and function using spatial transcriptomics.","description":"The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of transcriptional levels across many genes together with the spatial positions of cells. This has led to an explosion of interest in computational methods and techniques for harnessing both spatial and transcriptional information in analysis of ST datasets. The wide diversity of approaches in aim, methodology and technology for ST provides great challenges in dissecting cellular functions in spatial contexts. Here, we synthesize and review the key problems in analysis of ST data and methods that are currently applied, while also expanding on open questions and areas of future development.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-22T18:20:29.791Z","creation":"2025-04-06T02:23:35.111Z"},"accession":"S-EPMC8913632","cross_references":{"pubmed":["35273328"],"doi":["10.1038/s42003-022-03175-5"]}}