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Intracellular Spatial Transcriptomic Analysis Toolkit (InSTAnT).
Kumar, Anurendra; Schrader, Alex W; Boroojeny, Ali Ebrahimpour; Asadian, Marisa; Lee, Juyeon; Song, You Jin; Zhao, Sihai Dave; Han, Hee-Sun; Sinha, Saurabh.
Afiliação
  • Kumar A; College of Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
  • Schrader AW; Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Boroojeny AE; Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Asadian M; Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Lee J; Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Song YJ; Department of Cell and Developmental Biology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Zhao SD; Department of Statistics, University of Illinois Urbana-Champaign, Urbana, IL, 61820, USA.
  • Han HS; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
  • Sinha S; Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Res Sq ; 2023 Jan 27.
Article em En | MEDLINE | ID: mdl-36747718
Imaging-based spatial transcriptomics technologies such as MERFISH offer snapshots of cellular processes in unprecedented detail, but new analytic tools are needed to realize their full potential. We present InSTAnT, a computational toolkit for extracting molecular relationships from spatial transcriptomics data at the intra-cellular resolution. InSTAnT detects gene pairs and modules with interesting patterns of mutual co-localization within and across cells, using specialized statistical tests and graph mining. We showcase the toolkit on datasets profiling a human cancer cell line and hypothalamic preoptic region of mouse brain. We performed rigorous statistical assessment of discovered co-localization patterns, found supporting evidence from databases and RNA interactions, and identified subcellular domains associated with RNA-colocalization. We identified several novel cell type-specific gene co-localizations in the brain. Intra-cellular spatial patterns discovered by InSTAnT mirror diverse molecular relationships, including RNA interactions and shared sub-cellular localization or function, providing a rich compendium of testable hypotheses regarding molecular functions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article