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Spatial transcriptomics
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0003-4209-2911
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0002-5108-4481
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab.ORCID iD: 0000-0001-5905-8467
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology.
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2022 (English)In: Cell, ISSN 0092-8674, E-ISSN 1097-4172, Vol. 185, no 15, p. 2840-2840.e1, article id 2840.e1Article in journal, Editorial material (Other academic) Published
Abstract [en]

Spatially resolved transcriptomics methodologies using RNA sequencing principles have and will continue to contribute to decode the molecular landscape of tissues. Linking quantitative sequencing data with tissue morphology empowers profiling of cellular morphology and transcription over time and space in health and disease. To view this SnapShot, open or download the PDF.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 185, no 15, p. 2840-2840.e1, article id 2840.e1
National Category
Genetics and Genomics
Identifiers
URN: urn:nbn:se:kth:diva-317196DOI: 10.1016/j.cell.2022.06.002ISI: 000844140300005PubMedID: 35868280Scopus ID: 2-s2.0-85134829188OAI: oai:DiVA.org:kth-317196DiVA, id: diva2:1694940
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QC 20220912

Available from: 2022-09-12 Created: 2022-09-12 Last updated: 2025-02-07Bibliographically approved

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Larsson, LudvigBergenstråhle, LudvigHe, MengxiaoAndrusivova, ZanetaLundeberg, Joakim

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Larsson, LudvigBergenstråhle, LudvigHe, MengxiaoAndrusivova, ZanetaLundeberg, Joakim
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Gene TechnologyScience for Life Laboratory, SciLifeLab
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Cell
Genetics and Genomics

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