Quantitative proteome comparison of human hearts with those of model organisms

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Standard

Quantitative proteome comparison of human hearts with those of model organisms. / Linscheid, Nora; Santos, Alberto; Poulsen, Pi Camilla; Mills, Robert W; Calloe, Kirstine; Leurs, Ulrike; Ye, Johan Z; Stolte, Christian; Thomsen, Morten B; Bentzen, Bo H; Lundegaard, Pia R; Olesen, Morten S; Jensen, Lars J.; Olsen, Jesper V.; Lundby, Alicia.

I: PLOS Biology, Bind 19, Nr. 4, e3001144, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Linscheid, N, Santos, A, Poulsen, PC, Mills, RW, Calloe, K, Leurs, U, Ye, JZ, Stolte, C, Thomsen, MB, Bentzen, BH, Lundegaard, PR, Olesen, MS, Jensen, LJ, Olsen, JV & Lundby, A 2021, 'Quantitative proteome comparison of human hearts with those of model organisms', PLOS Biology, bind 19, nr. 4, e3001144. https://doi.org/10.1371/journal.pbio.3001144

APA

Linscheid, N., Santos, A., Poulsen, P. C., Mills, R. W., Calloe, K., Leurs, U., Ye, J. Z., Stolte, C., Thomsen, M. B., Bentzen, B. H., Lundegaard, P. R., Olesen, M. S., Jensen, L. J., Olsen, J. V., & Lundby, A. (2021). Quantitative proteome comparison of human hearts with those of model organisms. PLOS Biology, 19(4), [e3001144]. https://doi.org/10.1371/journal.pbio.3001144

Vancouver

Linscheid N, Santos A, Poulsen PC, Mills RW, Calloe K, Leurs U o.a. Quantitative proteome comparison of human hearts with those of model organisms. PLOS Biology. 2021;19(4). e3001144. https://doi.org/10.1371/journal.pbio.3001144

Author

Linscheid, Nora ; Santos, Alberto ; Poulsen, Pi Camilla ; Mills, Robert W ; Calloe, Kirstine ; Leurs, Ulrike ; Ye, Johan Z ; Stolte, Christian ; Thomsen, Morten B ; Bentzen, Bo H ; Lundegaard, Pia R ; Olesen, Morten S ; Jensen, Lars J. ; Olsen, Jesper V. ; Lundby, Alicia. / Quantitative proteome comparison of human hearts with those of model organisms. I: PLOS Biology. 2021 ; Bind 19, Nr. 4.

Bibtex

@article{a29788b452744b3b96b8df7c23430b69,
title = "Quantitative proteome comparison of human hearts with those of model organisms",
abstract = "Delineating human cardiac pathologies and their basic molecular mechanisms relies on research conducted in model organisms. Yet translating findings from preclinical models to humans present a significant challenge, in part due to differences in cardiac protein expression between humans and model organisms. Proteins immediately determine cellular function, yet their large-scale investigation in hearts has lagged behind those of genes and transcripts. Here, we set out to bridge this knowledge gap: By analyzing protein profiles in humans and commonly used model organisms across cardiac chambers, we determine their commonalities and regional differences. We analyzed cardiac tissue from each chamber of human, pig, horse, rat, mouse, and zebrafish in biological replicates. Using mass spectrometry-based proteomics workflows, we measured and evaluated the abundance of approximately 7,000 proteins in each species. The resulting knowledgebase of cardiac protein signatures is accessible through an online database: atlas.cardiacproteomics.com. Our combined analysis allows for quantitative evaluation of protein abundances across cardiac chambers, as well as comparisons of cardiac protein profiles across model organisms. Up to a quarter of proteins with differential abundances between atria and ventricles showed opposite chamber-specific enrichment between species; these included numerous proteins implicated in cardiac disease. The generated proteomics resource facilitates translational prospects of cardiac studies from model organisms to humans by comparisons of disease-linked protein networks across species.",
author = "Nora Linscheid and Alberto Santos and Poulsen, {Pi Camilla} and Mills, {Robert W} and Kirstine Calloe and Ulrike Leurs and Ye, {Johan Z} and Christian Stolte and Thomsen, {Morten B} and Bentzen, {Bo H} and Lundegaard, {Pia R} and Olesen, {Morten S} and Jensen, {Lars J.} and Olsen, {Jesper V.} and Alicia Lundby",
year = "2021",
doi = "10.1371/journal.pbio.3001144",
language = "English",
volume = "19",
journal = "P L o S Biology",
issn = "1544-9173",
publisher = "Public Library of Science",
number = "4",

}

RIS

TY - JOUR

T1 - Quantitative proteome comparison of human hearts with those of model organisms

AU - Linscheid, Nora

AU - Santos, Alberto

AU - Poulsen, Pi Camilla

AU - Mills, Robert W

AU - Calloe, Kirstine

AU - Leurs, Ulrike

AU - Ye, Johan Z

AU - Stolte, Christian

AU - Thomsen, Morten B

AU - Bentzen, Bo H

AU - Lundegaard, Pia R

AU - Olesen, Morten S

AU - Jensen, Lars J.

AU - Olsen, Jesper V.

AU - Lundby, Alicia

PY - 2021

Y1 - 2021

N2 - Delineating human cardiac pathologies and their basic molecular mechanisms relies on research conducted in model organisms. Yet translating findings from preclinical models to humans present a significant challenge, in part due to differences in cardiac protein expression between humans and model organisms. Proteins immediately determine cellular function, yet their large-scale investigation in hearts has lagged behind those of genes and transcripts. Here, we set out to bridge this knowledge gap: By analyzing protein profiles in humans and commonly used model organisms across cardiac chambers, we determine their commonalities and regional differences. We analyzed cardiac tissue from each chamber of human, pig, horse, rat, mouse, and zebrafish in biological replicates. Using mass spectrometry-based proteomics workflows, we measured and evaluated the abundance of approximately 7,000 proteins in each species. The resulting knowledgebase of cardiac protein signatures is accessible through an online database: atlas.cardiacproteomics.com. Our combined analysis allows for quantitative evaluation of protein abundances across cardiac chambers, as well as comparisons of cardiac protein profiles across model organisms. Up to a quarter of proteins with differential abundances between atria and ventricles showed opposite chamber-specific enrichment between species; these included numerous proteins implicated in cardiac disease. The generated proteomics resource facilitates translational prospects of cardiac studies from model organisms to humans by comparisons of disease-linked protein networks across species.

AB - Delineating human cardiac pathologies and their basic molecular mechanisms relies on research conducted in model organisms. Yet translating findings from preclinical models to humans present a significant challenge, in part due to differences in cardiac protein expression between humans and model organisms. Proteins immediately determine cellular function, yet their large-scale investigation in hearts has lagged behind those of genes and transcripts. Here, we set out to bridge this knowledge gap: By analyzing protein profiles in humans and commonly used model organisms across cardiac chambers, we determine their commonalities and regional differences. We analyzed cardiac tissue from each chamber of human, pig, horse, rat, mouse, and zebrafish in biological replicates. Using mass spectrometry-based proteomics workflows, we measured and evaluated the abundance of approximately 7,000 proteins in each species. The resulting knowledgebase of cardiac protein signatures is accessible through an online database: atlas.cardiacproteomics.com. Our combined analysis allows for quantitative evaluation of protein abundances across cardiac chambers, as well as comparisons of cardiac protein profiles across model organisms. Up to a quarter of proteins with differential abundances between atria and ventricles showed opposite chamber-specific enrichment between species; these included numerous proteins implicated in cardiac disease. The generated proteomics resource facilitates translational prospects of cardiac studies from model organisms to humans by comparisons of disease-linked protein networks across species.

U2 - 10.1371/journal.pbio.3001144

DO - 10.1371/journal.pbio.3001144

M3 - Journal article

C2 - 33872299

VL - 19

JO - P L o S Biology

JF - P L o S Biology

SN - 1544-9173

IS - 4

M1 - e3001144

ER -

ID: 260517887