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Subcellular transcriptome sequencing with single cell APEX-seq identifies regulators of cell-cell interactions.

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Title: Subcellular transcriptome sequencing with single cell APEX-seq identifies regulators of cell-cell interactions.
Authors: Xue A; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Biophysics Program, Stanford University, Stanford, CA, 94305, USA., Cai B; Department of Genetics, Stanford University, Stanford, CA, 94305, USA., Xue Q; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA., Liu N; Department of Genetics, Stanford University, Stanford, CA, 94305, USA., Qiu X; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Computer Science, Stanford University, Stanford, CA, 94305, USA., Hernández-López RA; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.; Biohub, San Francisco, CA, 94158, USA.; Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA., Ting AY; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Departments of Biology, and by courtesy, Chemistry, Stanford University, Stanford, CA, 94305, USA.; Biohub, San Francisco, CA, 94158, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Mar 18. Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
An: 41889815
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Subcellular transcriptome sequencing with single cell APEX-seq identifies regulators of cell-cell interactions.
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  Data: <searchLink fieldCode="AU" term="%22Xue+A%22">Xue A</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Biophysics Program, Stanford University, Stanford, CA, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Cai+B%22">Cai B</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Xue+Q%22">Xue Q</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Liu+N%22">Liu N</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Qiu+X%22">Qiu X</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Computer Science, Stanford University, Stanford, CA, 94305, USA.<br /><searchLink fieldCode="AU" term="%22Hernández-López+RA%22">Hernández-López RA</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.; Biohub, San Francisco, CA, 94158, USA.; Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA.<br /><searchLink fieldCode="AU" term="%22Ting+AY%22">Ting AY</searchLink>; Department of Genetics, Stanford University, Stanford, CA, 94305, USA.; Departments of Biology, and by courtesy, Chemistry, Stanford University, Stanford, CA, 94305, USA.; Biohub, San Francisco, CA, 94158, USA.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2026 Mar 18. <i>Date of Electronic Publication: </i>2026 Mar 18.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
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      – Type: doi
        Value: 10.64898/2026.03.17.712496
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        Text: English
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      – TitleFull: Subcellular transcriptome sequencing with single cell APEX-seq identifies regulators of cell-cell interactions.
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              Text: 2026 Mar 18
              Type: published
              Y: 2026
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