ArticleNature communications2016
Laser capture microscopy coupled with Smart-seq2 for precise spatial transcriptomic profiling.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 186 papers.
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Who cites it
186 citing papers in PubMed.
- 3D multi-omics tumour atlases: from technology to biology and clinical translation.Nature reviews. Cancer · 2026Review
- Advances in single-cell and spatial multi-omics for plant development and stress responses.Plant diversity · 2026Review
- Decoding Cardiac Development and Maturation at Single-Cell and Spatial Transcriptomic Resolution.Circulation research · 2026Review
- Spatial-quantitative profiling of intrahepatic HBsAg heterogeneity and clustered distribution in chronic HBV infection.JHEP reports : innovation in hepatology · 2026Article
- Mapping cellular and ECM heterogeneity in pulmonary fibrosis - insights from recent spatiomics studies.Cell biomaterials · 2026Article
- The Evolution of Spatial Omics Technologies Introduces A Novel Avenue for Lung Cancer Research.Genomics, proteomics & bioinformatics · 2026Review
- Multi-Network Co-expression Analysis Enhances Biological Insights from Single-Cell Gene Expression.Interdisciplinary sciences, computational life sciences · 2026Article
- Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026Review
- Laser-Capture Microdissection Followed by ATAC-Seq.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Kidney diseases and single-cell sequencing research: a bibliometric analysis from 2015 to 2024.Renal failure · 2025Review
- Review
- A bottom-up septal inhibitory circuit mediates anticipatory control of drinking.Nature neuroscience · 2025Article
- Profiling the heterogeneity of microbial populations and communities at the single-cell level.mLife · 2025Review
- Transcriptional modulation unique to vulnerable motor neurons predicts ALS across species and SOD1 mutations.Genome research · 2025Article
- High-resolution spatial transcriptomics in fixed tissue using a cost-effective PCL-seq workflow.Genome research · 2025Article
- ST-deconv: an accurate deconvolution approach for spatial transcriptome data utilizing self-encoding and contrastive learning.NAR genomics and bioinformatics · 2025Article
- Temporal transcriptional regulation of mitochondrial morphology primes activity-dependent circuit connectivity.Nature communications · 2025Article
- A cluster-based cell-type deconvolution of spatial transcriptomic data.Nucleic acids research · 2025Article
- spaLLM: enhancing spatial domain analysis in multi-omics data through large language model integration.Briefings in bioinformatics · 2025Article
- Single-cell genotyping and transcriptomic profiling of mosaic focal cortical dysplasia.Nature neuroscience · 2025Article
126 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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