ReviewTrends in pharmacological sciences2012
Drug targets: single-cell transcriptomics hastens unbiased discovery.
Review in Trends in pharmacological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Cell Surface Protein mRNAs Show Differential Transcription in Pyramidal and Fast-Spiking Cells as Revealed by Single-Cell Sequencing.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Accelerating a paradigm shift: The Common Fund Single Cell Analysis Program.Science advances · 2018Review
- Phenotype Classification Using Moment Features of Single-Cell Data.Cancer informatics · 2018Article
- Depression-like behavior in rat: Involvement of galanin receptor subtype 1 in the ventral periaqueductal gray.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Computational Systems Biology of Psoriasis: Are We Ready for the Age of Omics and Systems Biomarkers?Omics : a journal of integrative biology · 2015Article
- A molecular perspective on TH2-promoting cytokine receptors in patients with allergic disease.The Journal of allergy and clinical immunology · 2014Review
- Serotonergic neuron regulation informed by in vivo single-cell transcriptomics.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2014Article
- The concept of allosteric interaction and its consequences for the chemistry of the brain.The Journal of biological chemistry · 2013Review
- Distinct features of neurotransmitter systems in the human brain with focus on the galanin system in locus coeruleus and dorsal raphe.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Mouse TU tagging: a chemical/genetic intersectional method for purifying cell type-specific nascent RNA.Genes & development · 2013Article
- Quantitative biology of single neurons.Journal of the Royal Society, Interface · 2012Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Drug discovery in neuro- and psychopharmacology is lagging, and the most commonly mentioned cause is the scarcity of drug targets. Using NextGen 'sequencing based single-cell transcriptomics' (SBSCT), several hundred different receptors and channels can be identified in individual neurons, and the functional gene product can subsequently be validated. The use of single-cell transcriptome data to reveal the entire receptor repertoire is crucial, as the copy numbers of mRNAs encoding receptors are low, and when cells are pooled dilution of rare mRNAs leads to loss of signal. These overlooked receptors on key neurons often mediate robust effects that may be therapeutically useful. SBSCT also enables the identification of orphan receptors and can provide strong evidence for receptor heterodimers. Here, we compare SBSCT to other single-cell profiling methods. We argue that the unbiased nature of SBSCT makes it a powerful tool for the identification of new drug targets.
Indexed as
Identifiers
What OpenQuestion holds
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.