Laser capture microscopy coupled with Smart-seq2 for precise spatial transcriptomic profiling

Susanne Nichterwitz, Geng Chen, Julio Aguila Benitez, Marlene Yilmaz, Helena Storvall, Ming Cao, Rickard Sandberg, Qiaolin Deng () and Eva Hedlund ()
Additional contact information
Susanne Nichterwitz: Karolinska Institutet
Geng Chen: Department of Cell and Molecular Biology
Julio Aguila Benitez: Karolinska Institutet
Marlene Yilmaz: Department of Cell and Molecular Biology
Helena Storvall: Department of Cell and Molecular Biology
Ming Cao: Karolinska Institutet
Rickard Sandberg: Department of Cell and Molecular Biology
Qiaolin Deng: Department of Cell and Molecular Biology
Eva Hedlund: Karolinska Institutet

Nature Communications, 2016, vol. 7, issue 1, 1-11

Abstract: Abstract Laser capture microscopy (LCM) coupled with global transcriptome profiling could enable precise analyses of cell populations without the need for tissue dissociation, but has so far required relatively large numbers of cells. Here we report a robust and highly efficient strategy for LCM coupled with full-length mRNA-sequencing (LCM-seq) developed for single-cell transcriptomics. Fixed cells are subjected to direct lysis without RNA extraction, which both simplifies the experimental procedures as well as lowers technical noise. We apply LCM-seq on neurons isolated from mouse tissues, human post-mortem tissues, and illustrate its utility down to single captured cells. Importantly, we demonstrate that LCM-seq can provide biological insight on highly similar neuronal populations, including motor neurons isolated from different levels of the mouse spinal cord, as well as human midbrain dopamine neurons of the substantia nigra compacta and the ventral tegmental area.

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.nature.com/articles/ncomms12139 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12139

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/ncomms12139

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().