Cargando…

Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin

BACKGROUND: Membrane proteins form key nodes in mediating the cell's interaction with the surroundings, which is one of the main reasons why the majority of drug targets are membrane proteins. RESULTS: Here we mined the human proteome and identified the membrane proteome subset using three pred...

Descripción completa

Detalles Bibliográficos
Autores principales: Almén, Markus Sällman, Nordström, Karl JV, Fredriksson, Robert, Schiöth, Helgi B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2739160/
https://www.ncbi.nlm.nih.gov/pubmed/19678920
http://dx.doi.org/10.1186/1741-7007-7-50
_version_ 1782171561274376192
author Almén, Markus Sällman
Nordström, Karl JV
Fredriksson, Robert
Schiöth, Helgi B
author_facet Almén, Markus Sällman
Nordström, Karl JV
Fredriksson, Robert
Schiöth, Helgi B
author_sort Almén, Markus Sällman
collection PubMed
description BACKGROUND: Membrane proteins form key nodes in mediating the cell's interaction with the surroundings, which is one of the main reasons why the majority of drug targets are membrane proteins. RESULTS: Here we mined the human proteome and identified the membrane proteome subset using three prediction tools for alpha-helices: Phobius, TMHMM, and SOSUI. This dataset was reduced to a non-redundant set by aligning it to the human genome and then clustered with our own interactive implementation of the ISODATA algorithm. The genes were classified and each protein group was manually curated, virtually evaluating each sequence of the clusters, applying systematic comparisons with a range of databases and other resources. We identified 6,718 human membrane proteins and classified the majority of them into 234 families of which 151 belong to the three major functional groups: receptors (63 groups, 1,352 members), transporters (89 groups, 817 members) or enzymes (7 groups, 533 members). Also, 74 miscellaneous groups with 697 members were determined. Interestingly, we find that 41% of the membrane proteins are singlets with no apparent affiliation or identity to any human protein family. Our results identify major differences between the human membrane proteome and the ones in unicellular organisms and we also show a strong bias towards certain membrane topologies for different functional classes: 77% of all transporters have more than six helices while 60% of proteins with an enzymatic function and 88% receptors, that are not GPCRs, have only one single membrane spanning α-helix. Further, we have identified and characterized new gene families and novel members of existing families. CONCLUSION: Here we present the most detailed roadmap of gene numbers and families to our knowledge, which is an important step towards an overall classification of the entire human proteome. We estimate that 27% of the total human proteome are alpha-helical transmembrane proteins and provide an extended classification together with in-depth investigations of the membrane proteome's functional, structural, and evolutionary features.
format Text
id pubmed-2739160
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27391602009-09-08 Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin Almén, Markus Sällman Nordström, Karl JV Fredriksson, Robert Schiöth, Helgi B BMC Biol Research Article BACKGROUND: Membrane proteins form key nodes in mediating the cell's interaction with the surroundings, which is one of the main reasons why the majority of drug targets are membrane proteins. RESULTS: Here we mined the human proteome and identified the membrane proteome subset using three prediction tools for alpha-helices: Phobius, TMHMM, and SOSUI. This dataset was reduced to a non-redundant set by aligning it to the human genome and then clustered with our own interactive implementation of the ISODATA algorithm. The genes were classified and each protein group was manually curated, virtually evaluating each sequence of the clusters, applying systematic comparisons with a range of databases and other resources. We identified 6,718 human membrane proteins and classified the majority of them into 234 families of which 151 belong to the three major functional groups: receptors (63 groups, 1,352 members), transporters (89 groups, 817 members) or enzymes (7 groups, 533 members). Also, 74 miscellaneous groups with 697 members were determined. Interestingly, we find that 41% of the membrane proteins are singlets with no apparent affiliation or identity to any human protein family. Our results identify major differences between the human membrane proteome and the ones in unicellular organisms and we also show a strong bias towards certain membrane topologies for different functional classes: 77% of all transporters have more than six helices while 60% of proteins with an enzymatic function and 88% receptors, that are not GPCRs, have only one single membrane spanning α-helix. Further, we have identified and characterized new gene families and novel members of existing families. CONCLUSION: Here we present the most detailed roadmap of gene numbers and families to our knowledge, which is an important step towards an overall classification of the entire human proteome. We estimate that 27% of the total human proteome are alpha-helical transmembrane proteins and provide an extended classification together with in-depth investigations of the membrane proteome's functional, structural, and evolutionary features. BioMed Central 2009-08-13 /pmc/articles/PMC2739160/ /pubmed/19678920 http://dx.doi.org/10.1186/1741-7007-7-50 Text en Copyright © 2009 Almén et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Almén, Markus Sällman
Nordström, Karl JV
Fredriksson, Robert
Schiöth, Helgi B
Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title_full Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title_fullStr Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title_full_unstemmed Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title_short Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
title_sort mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2739160/
https://www.ncbi.nlm.nih.gov/pubmed/19678920
http://dx.doi.org/10.1186/1741-7007-7-50
work_keys_str_mv AT almenmarkussallman mappingthehumanmembraneproteomeamajorityofthehumanmembraneproteinscanbeclassifiedaccordingtofunctionandevolutionaryorigin
AT nordstromkarljv mappingthehumanmembraneproteomeamajorityofthehumanmembraneproteinscanbeclassifiedaccordingtofunctionandevolutionaryorigin
AT fredrikssonrobert mappingthehumanmembraneproteomeamajorityofthehumanmembraneproteinscanbeclassifiedaccordingtofunctionandevolutionaryorigin
AT schiothhelgib mappingthehumanmembraneproteomeamajorityofthehumanmembraneproteinscanbeclassifiedaccordingtofunctionandevolutionaryorigin