Evidence map›Paper›PMID 26925972›Full record

ArticleScientific reports2016

Transmembrane Domain Lengths Serve as Signatures of Organismal Complexity and Viral Transport Mechanisms.

Snigdha Singh, Aditya Mittal

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.2field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 45 citations in OpenAlex.

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  14. ACS chemical biology · 2022
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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

2 authors at 1 institution in 1 country.

Snigdha SinghKusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Aditya MittalKusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Indian Institute of Technology Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is known that membrane proteins are important in various secretory pathways, with a possible role of their transmembrane domains (TMDs) as sorting determinant factors. One key aspect of TMDs associated with various "checkposts" (i.e. organelles) of intracellular trafficking is their length. To explore possible linkages in organisms with varying "complexity" and differences in TMD lengths of membrane proteins associated with different organelles (such as Endoplasmic Reticulum, Golgi, Endosomes, Nucleus, Plasma Membrane), we analyzed ~70,000 membrane protein sequences in over 300 genomes of fungi, plants, non-mammalian vertebrates and mammals. We report that as we move from simpler to complex organisms, variation in organellar TMD lengths decreases, especially compared to their respective plasma membranes, with increasing organismal complexity. This suggests an evolutionary pressure in modulating length of TMDs of membrane proteins with increasing complexity of communication between sub-cellular compartments. We also report functional applications of our findings by discovering remarkable distinctions in TMD lengths of membrane proteins associated with different intracellular transport pathways. Finally, we show that TMD lengths extracted from viral proteins can serve as somewhat weak indicators of viral replication sites in plant cells but very strong indicators of different entry pathways employed by animal viruses.

Indexed as

Amino Acid SequenceAnimalsArabidopsisCell MembraneCell NucleusChickensEndoplasmic ReticulumGolgi ApparatusHumansMembrane ProteinsProtein DomainsProtein Structure, TertiaryProtein TransportSaccharomyces cerevisiaeViral ProteinsMembrane ProteinsViral Proteins

Identifiers

PMID26925972
PMCPMC4772119
OpenAlexW2327760377

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Registered trials

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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.