Estimating the size of the human interactome

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Standard

Estimating the size of the human interactome. / Stumpf, Michael P.H.; Thorne, Thomas; De Silva, Eric; Stewart, Ronald; Hyeong, Jun An; Lappe, Michael; Wiuf, Carsten.

I: Proceedings of the National Academy of Sciences of the United States of America, Bind 105, Nr. 19, 13.05.2008, s. 6959-6964.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Stumpf, MPH, Thorne, T, De Silva, E, Stewart, R, Hyeong, JA, Lappe, M & Wiuf, C 2008, 'Estimating the size of the human interactome', Proceedings of the National Academy of Sciences of the United States of America, bind 105, nr. 19, s. 6959-6964. https://doi.org/10.1073/pnas.0708078105

APA

Stumpf, M. P. H., Thorne, T., De Silva, E., Stewart, R., Hyeong, J. A., Lappe, M., & Wiuf, C. (2008). Estimating the size of the human interactome. Proceedings of the National Academy of Sciences of the United States of America, 105(19), 6959-6964. https://doi.org/10.1073/pnas.0708078105

Vancouver

Stumpf MPH, Thorne T, De Silva E, Stewart R, Hyeong JA, Lappe M o.a. Estimating the size of the human interactome. Proceedings of the National Academy of Sciences of the United States of America. 2008 maj 13;105(19):6959-6964. https://doi.org/10.1073/pnas.0708078105

Author

Stumpf, Michael P.H. ; Thorne, Thomas ; De Silva, Eric ; Stewart, Ronald ; Hyeong, Jun An ; Lappe, Michael ; Wiuf, Carsten. / Estimating the size of the human interactome. I: Proceedings of the National Academy of Sciences of the United States of America. 2008 ; Bind 105, Nr. 19. s. 6959-6964.

Bibtex

@article{86ac9a9096e54236a112ce336ffd153c,
title = "Estimating the size of the human interactome",
abstract = "After the completion of the human and other genome projects it emerged that the number of genes in organisms as diverse as fruit flies, nematodes, and humans does not reflect our perception of their relative complexity. Here, we provide reliable evidence that the size of protein interaction networks in different organisms appears to correlate much better with their apparent biological complexity. We develop a stable and powerful, yet simple, statistical procedure to estimate the size of the whole network from subnet data. This approach is then applied to a range of eukaryotic organisms for which extensive protein interaction data have been collected and we estimate the number of interactions in humans to be ≈650,000. We find that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and ≈3 times bigger than in Caenorhabditis elegans.",
keywords = "Evolutionary systems biology, Network evolution, Network inference, Network sampling theory",
author = "Stumpf, {Michael P.H.} and Thomas Thorne and {De Silva}, Eric and Ronald Stewart and Hyeong, {Jun An} and Michael Lappe and Carsten Wiuf",
year = "2008",
month = may,
day = "13",
doi = "10.1073/pnas.0708078105",
language = "English",
volume = "105",
pages = "6959--6964",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "The National Academy of Sciences of the United States of America",
number = "19",

}

RIS

TY - JOUR

T1 - Estimating the size of the human interactome

AU - Stumpf, Michael P.H.

AU - Thorne, Thomas

AU - De Silva, Eric

AU - Stewart, Ronald

AU - Hyeong, Jun An

AU - Lappe, Michael

AU - Wiuf, Carsten

PY - 2008/5/13

Y1 - 2008/5/13

N2 - After the completion of the human and other genome projects it emerged that the number of genes in organisms as diverse as fruit flies, nematodes, and humans does not reflect our perception of their relative complexity. Here, we provide reliable evidence that the size of protein interaction networks in different organisms appears to correlate much better with their apparent biological complexity. We develop a stable and powerful, yet simple, statistical procedure to estimate the size of the whole network from subnet data. This approach is then applied to a range of eukaryotic organisms for which extensive protein interaction data have been collected and we estimate the number of interactions in humans to be ≈650,000. We find that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and ≈3 times bigger than in Caenorhabditis elegans.

AB - After the completion of the human and other genome projects it emerged that the number of genes in organisms as diverse as fruit flies, nematodes, and humans does not reflect our perception of their relative complexity. Here, we provide reliable evidence that the size of protein interaction networks in different organisms appears to correlate much better with their apparent biological complexity. We develop a stable and powerful, yet simple, statistical procedure to estimate the size of the whole network from subnet data. This approach is then applied to a range of eukaryotic organisms for which extensive protein interaction data have been collected and we estimate the number of interactions in humans to be ≈650,000. We find that the human interaction network is one order of magnitude bigger than the Drosophila melanogaster interactome and ≈3 times bigger than in Caenorhabditis elegans.

KW - Evolutionary systems biology

KW - Network evolution

KW - Network inference

KW - Network sampling theory

UR - http://www.scopus.com/inward/record.url?scp=44349113144&partnerID=8YFLogxK

U2 - 10.1073/pnas.0708078105

DO - 10.1073/pnas.0708078105

M3 - Journal article

C2 - 18474861

AN - SCOPUS:44349113144

VL - 105

SP - 6959

EP - 6964

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 19

ER -

ID: 229280304