ReviewExperimental physiology2015
Tracks through the genome to physiological events.
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.
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
1 citing paper in PubMed, 3 citations in OpenAlex.
- Article
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 at 3 institutions in 2 countries.
Funding
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
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.