ArticleBioEssays : news and reviews in molecular, cellular and developmental biology2013
Population transcriptomics with single-cell resolution: a new field made possible by microfluidics: a technology for high throughput transcript counting and data-driven definition of cell types.
Article in BioEssays : news and reviews in molecular, cellular and developmental biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- [Preliminary study on the construction of three-dimensional hippocampal neural network by using microfluidic technologyZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2019Article
- Droplet Merging on a Lab-on-a-Chip Platform by Uniform Magnetic Fields.Scientific reports · 2016Article
- The International Nucleome Consortium.Nucleus (Austin, Tex.) · 2015Article
- Monocyte-derived dendritic cells from HLA-B27+ axial spondyloarthritis (SpA) patients display altered functional capacity and deregulated gene expression.Arthritis research & therapy · 2014Article
- A perpetual source of DNA or something really different: ethical issues in the creation of cell lines for African genomics research.BMC medical ethics · 2014Article
- Transcriptional mechanisms of cell fate decisions revealed by single cell expression profiling.BioEssays : news and reviews in molecular, cellular and developmental biology · 2014Article
- The past, present, and future of immune repertoire biology - the rise of next-generation repertoire analysis.Frontiers in immunology · 2013Review
- DNA sequencing methods in human genetics and disease research.F1000prime reports · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tissues contain complex populations of cells. Like countries, which are comprised of mixed populations of people, tissues are not homogeneous. Gene expression studies that analyze entire populations of cells from tissues as a mixture are blind to this diversity. Thus, critical information is lost when studying samples rich in specialized but diverse cells such as tumors, iPS colonies, or brain tissue. High throughput methods are needed to address, model and understand the constitutive and stochastic differences between individual cells. Here, we describe microfluidics technologies that utilize a combination of molecular biology and miniaturized labs on chips to study gene expression at the single cell level. We discuss how the characterization of the transcriptome of each cell in a sample will open a new field in gene expression analysis, population transcriptomics, that will change the academic and biomedical analysis of complex samples by defining them as quantified populations of single cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.