Evidence map›Paper›PMID 26053180›Full record

ReviewExperimental physiology2015

Tracks through the genome to physiological events.

Diane Lipscombe, Jen Q Pan, Stephanie Schorge

Open access · hybridAbstract readReview
In one paragraph

Review in Experimental physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Diane LipscombeDepartment of Neuroscience, Brown University, Providence, RI, USA.
Jen Q PanStanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Stephanie SchorgeUniversity College London Institute of Neurology, London, UK.
Brown University · USStanley Foundation · USUniversity College London · GB

Funding

Voltage-Gated Calcium Channels in Nociceptors and MechanoreceptorsR01NS055251 · NINDS · BROWN UNIVERSITY · PI LIPSCOMBE, DIANE · 2006 to 2025
$9.1M
Functional Studies of Variants of the Bipolar Risk Gene CACNA1C in Human NeuronsR21MH099448 · NIMH · BROAD INSTITUTE, INC. · PI PAN, JEN QIAN · 2012 to 2013
$467k
Medical Research Council G0601440Medical Research Council MR/K000608/1NIMH NIH HHS MH099448NINDS NIH HHS NS055251NINDS NIH HHS R01 NS055251Wellcome Trust 104033
6 · The paper itself

Abstract

NEW

findingsWhat is the topic of this review? We discuss tools available to access genome-wide data sets that harbour cell-specific, brain region-specific and tissue-specific information on exon usage for several species, including humans. In this Review, we demonstrate how to access this information in genome databases and its enormous value to physiology. What advances does it highlight? The sheer scale of protein diversity that is possible from complex genes, including those that encode voltage-gated ion channels, is vast. But this choice is critical for a complete understanding of protein function in the most physiologically relevant context. Many proteins of great interest to physiologists and neuroscientists are structurally complex and located in specialized subcellular domains, such as neuronal synapses and transverse tubules of muscle. Genes that encode these critical signalling molecules (receptors, ion channels, transporters, enzymes, cell adhesion molecules, cell-cell interaction proteins and cytoskeletal proteins) are similarly complex. Typically, these genes are large; human Dystrophin (DMD) encodes a cytoskeletal protein of muscle and it is the largest naturally occurring gene at a staggering 2.3 Mb. Large genes contain many non-coding introns and coding exons; human Titin (TTN), which encodes a protein essential for the assembly and functioning of vertebrate striated muscles, has over 350 exons and consequently has an enormous capacity to generate different forms of Titin mRNAs that have unique exon combinations. Functional and pharmacological differences among protein isoforms originating from the same gene may be subtle but nonetheless of critical physiological significance. Standard functional, immunological and pharmacological approaches, so useful for characterizing proteins encoded by different genes, typically fail to discriminate among splice isoforms of individual genes. Tools are now available to access genome-wide data sets that harbour cell-specific, brain region-specific and tissue-specific information on exon usage for several species, including humans. In this Review, we demonstrate how to access this information in genome databases and its enormous value to physiology.

Indexed as

AnimalsBrainDatabases, GeneticExonsGenomeHumansProteinsRNA, MessengerProteinsRNA, Messenger

Identifiers

PMID26053180
PMCPMC5008151
OpenAlexW2101485662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.