4.8 Article

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

Journal

NATURE COMMUNICATIONS
Volume 7, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms12139

Keywords

-

Funding

  1. EU Joint Programme for Neurodegenerative Disease (JPND) [529-2014-7500]
  2. Ragnar Soderbergs Stiftelse [M245/11]
  3. Swedish Medical Research Council (Vetenskapsradet) [2011-2651]
  4. Karolinska Institutet Delfinansiering av doktorand (KID)
  5. Ahlen-stiftelsen [mB8/h11, mB8/h12, mB8/h13, mB8/h14, mA1/h15]
  6. Parkinsonfonden [795/15]
  7. NEURO Sweden
  8. Swedish Research Council (Vetenskapsradet) [2014-2870]
  9. Svenska Sallskapet for Medicinska Forskning
  10. Jeanssons Stiftelser
  11. Swedish Research Council

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available