kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The emerging landscape of spatial profiling technologies
KTH, Centres, Science for Life Laboratory, SciLifeLab. KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH).ORCID iD: 0000-0001-7034-0850
2022 (English)In: Nature reviews genetics, ISSN 1471-0056, E-ISSN 1471-0064, Vol. 23, no 12, p. 741-759Article in journal (Refereed) Published
Abstract [en]

Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein profiling methods as a major pillar for cellular atlas building of complex samples, from tissues to full organisms. Emerging methods yield omics measurements at resolutions covering the nano- to microscale, enabling the charting of cellular heterogeneity, complex tissue architectures and dynamic changes during development and disease. We present an overview of the developing landscape of in situ spatial genome, transcriptome and proteome technologies, exemplify their impact on cell biology and translational research, and discuss current challenges for their community-wide adoption. Among many transformative applications, we envision that spatial methods will map entire organs and enable next-generation pathology.

Place, publisher, year, edition, pages
Springer Nature , 2022. Vol. 23, no 12, p. 741-759
Keywords [en]
nucleic acid, proteome, transcriptome, cytology, genomics, human, protein fingerprinting, proteomics, Review, transcriptomics, translational research, gene expression profiling, genome, single cell analysis, Single-Cell Analysis
National Category
Cell and Molecular Biology
Identifiers
URN: urn:nbn:se:kth:diva-325988DOI: 10.1038/s41576-022-00515-3ISI: 000829626000001PubMedID: 35859028Scopus ID: 2-s2.0-85134522245OAI: oai:DiVA.org:kth-325988DiVA, id: diva2:1752218
Note

QC 20230421

Available from: 2023-04-21 Created: 2023-04-21 Last updated: 2023-04-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Lundberg, Emma

Search in DiVA

By author/editor
Lundberg, Emma
By organisation
Science for Life Laboratory, SciLifeLabSchool of Engineering Sciences in Chemistry, Biotechnology and Health (CBH)
In the same journal
Nature reviews genetics
Cell and Molecular Biology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 88 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf