Exploring the human plasma proteome:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Weinheim
Wiley-VCH
2006
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis Klappentext |
| Beschreibung: | XXII, 372 S. Ill., graph. Darst. |
| ISBN: | 9783527317578 3527317570 |
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| 245 | 1 | 0 | |a Exploring the human plasma proteome |c ed. by Gilbert S. Omenn |
| 264 | 1 | |a Weinheim |b Wiley-VCH |c 2006 | |
| 300 | |a XXII, 372 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Protéines plasmatiques | |
| 650 | 4 | |a Protéomique | |
| 650 | 4 | |a Diagnostic Techniques and Procedures | |
| 650 | 4 | |a Proteomics | |
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| 689 | 0 | 1 | |a Proteomanalyse |0 (DE-588)4596545-6 |D s |
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| 856 | 4 | 2 | |m Digitalisierung UB Regensburg |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014958492&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |3 Klappentext |
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Datensatz im Suchindex
| _version_ | 1818073578472472576 |
|---|---|
| adam_text |
Table of Contents
1
phase with
generating a core
database
Cilbert S. Omenn, DavidJ. States,
Rajasree Menon,
Richard J. Simpson, James S. Eddes, Eugene A.
Daniel W. Chan, AlexJ.
William S. Hancock, Stanley A Hefia, Helmut Meyer, Young-Ki Paik,
Jong-Shin Yoo, Peipei Ping, Joel Pounds, Joshua Adkins, Xiaohong Qian,
Rong Wang Valerie Wasinger, Chi Yue Wu, Xiaohang Zhao, Rong
Alexander Archakov, Akira Tsugita,
Philip Andrews,
1.1
1.2
1.3
1.3.1
1.3.2
1.3.3
1.4
1.4.1
1.4.2
proteins
1.4.3
1.4.4
1.4.5
1.4.6
1.4.7
1.4.8
1.4.9
1.4.10
Exploring the Human Plasma Proteome. Edited by Gilbert S. Omenn
Copyright
ISBN:
VI
1.5
1.6
2
HUPO Plasma Proteome Project
Marcin
Henning Hermjakob,
2.1
2.2
2.2.1
2.2.1.1
2.2.1.2
2.2.1.3
2.2.1.4
2.2.1.5
2.2.1.6
2.2.1.7
2.2.2
2.2.3
2.2.4
2.3
2.4
2.4.1
2.5
2.6
2.7
2.8
2.9
2.10
3
the standardization of parameters for plasma proteome samples
AlexJ.
Mark D. Schuchard, Richard J. Mehigh, Steven L Cockrill,
Harald
Brian
3.1
3.2
3.2.1
3.2.2
3.2.3
3.2.4
Table of Contents
3.2.5
3.2.6
3.2.7
3.2.8
studies
3.2.9
amplification
3.3
3.3.1
3.3.1.1
3.3.1.2
3.3.2
3.3.3
3.3.3.1
in plasma
3.3.3.2
3.3.3.3
3.4
3.4.1
3.4.2
3.5
3.6
4
Proteome Project reference specimens: Systematic variation between
sample types and calibration of mass spectrometry data
Brian B. Haab,
Sara Forrester, Ryan
Lorah
Gilberts. Omerrn
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.3.1
4.2.3.2
4.2.3.3
4.2.4
4.2.4.1
4.2.4.2
4.2.4.3
VIII
4.2.5
4.2.5.1
4.2.5.2
4.2.5.3
4.2.5.4
4.2.6
4.3
4.3.1
4.3.2
reference specimens
4.3.3
4.3.4
4.4
4.5
5
capacities of human serum and plasma
Lynn
David
5.1
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.2.5
5.2.6
5.3
5.3.1
proteins
5.3.2
5.3.3
5.3.4
proteins using 2-D gels
5.3.5
and narrow
5.3.6
pixelation
5.4
5.5
Table
6
separation methods enables detection of low-abundance proteins in
human plasma and serum proteomes
Hsin-Yao Tang, Nadeem
JohnJ. Rux and David W.
6.1
6.2
6.2.1
6.2.2
6.2.3
6.2.4
6.2.5
6.2.6
6.3
6.3.1
6.3.2
6.3.3
proteome
6.3.4
6.3.5
6.3.6
criteria
6.4
6.5
7
(HUPO) using multilectin affinity chromatography coupled with
RPLC-MS/MS
Ziping Yang, William S. Hancock, Tori Richmond Chew and
7.1
7.2
7.2.1
7.2.2
7.2.3
7.2.4
7.2.5
7.3
7.3.1
7.3.2
7.3.3
three ethnic groups
X Table of Contents
7.4
7.5
8
multidimensional based chromatography of serum proteins
Eilon Barnea,
8.1
8.1.1
complex sample
8.1.2
8.2
8.2.1
8.2.2
8.2.3
8.2.4
8.2.5
8.2.6
8.2.7
8.3
8.3.1
8.3.2
8.3.3
8.3.4
8.4
8.4.1
8.4.2
8.4.3
8.4.4
8.4.5
8.5
8.6
9
and construction of a two-dimensional map
Sang Yun Cho, Eun-Young Lee,
Mm-Seok Kwon, Young-Kew Park, Hyoung-Joo Lee,, Min-Jung Kang,Jin Young Kim,
Jong Shin Yoo, Sungjm Park, Jin Won Cho, Hyon-Suk Kim and Young-Ki Paik
9.1
9.2
9.2.1
9.2.2
column
Table
9.2.3
9.2.4
9.2.5
9.2.6
9.2.7
9.3
9.3.1
9.3.2
9.3.3
9.4
9.5
10
of the human serum proteome in HUPO Plasma Proteome Project
Xiaohai Li, Yan Cong, Ying Wang, Songfeng Wu, Yun
Wantao Ying Yangjun Zhang, Liyanjiao, Hongzhi He, Zisen Zhang, Fuchu He,
Xiaohang Zhao and Xiaohong Qian
10.1
10.2
10.2.1
10.2.2
10.2.3
10.2.4
10.2.5
ultrafiltration
10.2.6
10.2.7
10.2.8
10.2.8.1
10.2.8.2
10.2.8.3
10.2.9
10.2.9.1
10.2.9.2
10.2.9.3
10.2.10
10.2.10.1
10.2.10.2
10.2.10.3
proteins
10.2.11
XII
10.2.11.1
peptides
10.2.11.2
SCX-separated
10.2.12
SCX-separated peptides (offline-nanospray strategy)
10.3
10.3.1
10.3.2
10.4
10.4.1
10.4.2
10.4.3
10.4.4
10.4.5
10.4.6
proteins
10.4.7
proteome
10.5
10.6
11
using an accurate mass and time tag strategy
Joshua
Jon M.Jacobs, David
С
11.1
11.2
11.2.1
11.2.2
11.2.3
11.2.4
11.2.5
11.2.6
11.2.7
11.2.8
11.2.9
11.2.10
11.3
11.3.1
Table of Contents
11.3.2
11.3.3
11.3.4
11.4
11.4.1
11.4.2
11.4.3
11.4.4
11.4.5
11.5
12
(HUPO PPP) reference specimens using surface enhanced laser desorption/
ionization-time offlight (SELDI-TOF) mass spectrometry: Multi-institution
correlation of spectra and identification of biomarkers
AlexJ.
Rebecca E. Caffrey, Vladimir
Natalia V. Shipulina, Daniel W. Chan, O.John Semmes
and Hon-chiu Eastwood Leung
12.1
12.2
12.2.1
12.2.2
12.2.3
12.2.4
12.2.5
12.2.6
12.2.7
12.2.8
12.2.9
12.2.10
12.3
12.4
12.5
13
available MS/MS search algorithms: Sensitivity and specificity analysis
Eugene
Christine A. Miller, David Fenyo, Jimmy K.
Gilbert S. Omenn and RichardJ. Simpson
13.1
13.1.1
XIV
13.1.2
13.2
13.2.1
13.2.2
13.2.3
13.2.4
13.2.4.1
group
13.2.4.2
group
13.2.4.3
13.2.4.4
13.2.5
13.2.6
13.3
13.3.1
13.3.1.1
13.3.1.2
different MS/MS search algorithms: Distribution of scores and ROC
plots
13.3.1.3
rates
13.3.1.4
rate
13.3.1.5
13.3.1.6
13.3.1.7
13.4
13.5
14
Eric W. Deutschjimmy K.
Biaoyang Lin, Hookeun Lee, Eugene
14.1
15
public proteomics data repositories
Lennart Martens, Alexey I. Nesvizhskii,
albert
15.1
Table of Contents XV
16
Peipei Ping, Thomas M. Vondriska, ChadJ. Creighton, TKB Gandhi,
Ziping Yang, Rajasree Menon, Min-Seok Kwon, Sang Yun Cho, Carry
Markus Kellmann,
Raghothama Chaerkady, B. Rekha, Arun S. Shet, Robert E. Cerszten,
Haifeng Wu,, Mark Raflery, Valerie Wasinger, Peter
Samir M. Hanash, Young-ki Paik, William S. Hancock, Davidj. States,
Gilbert S. Omenn and Akhilesh Pandey
16.1
16.2
16.2.1
16.2.2
16.2.3
post-translational modifications
16.3
16.3.1
16.3.1.1
16.3.1.2
16.3.2
16.3.3
16.3.4
16.3.5
16.3.6
16.3.7
16.3.8
16.3.9
16.3.9.1
16.3.9.2
16.3.9.3
16.3.10
16.3.10.1
16.3.10.2
16.4
16.5
17
Plasma Proteome Project Pilot Phase
Beniam T. Berhane, ChenggongZong David A. Hem, Aaron Huang, Steven
Ricky D. Edmondson, Richard C.Jones, Xin Qiao, Julian P. Whitelegge,
Peipei Ping and Thomas M. Vondriska
17.1
17.1.1
XVI
17.1.2
17.2
17.3
17.3.1
17.3.2
17.3.3
17.3.4
17.3.5
17.3.6
17.3.7
17.3.8
17
17.4.1
Xl
17.5
17.6
17.7
Un
mises to generate a new wave of technologies to help identify many
different diseases and disease risks.
Plasma and serum are the preferred non-invasive specimens to test
normal individuals, at-risk groups, and patients for protein biomarkers
discovered and validated to reflect physiological, pathological, and phar¬
macological phenotypes. These specimens present enormous challenges
due to extreme complexity, huge dynamic range in protein concentra¬
tions, non-standardized methods of sample processing, and
inter-individual variation from genetics, diet, smoking, hormones, and
other sources.
This book presents the major findings from the collaborative Plasma
Proteome Project organized by the international Human Proteome
Organization (HUPO). The chapters are drawn from a larger set of pub¬
lications in the journal PROTEOMICS. This book provides a valuable
foundation for development and applications of proteomics.
Gilbert S. Omenn is Professor of Internal Medicine, Human
Genetics, and Public Health and director of the Center for
Computational Medicine and Biology at the University of
Michigan. Since
Proteome Organization (HUPO) Human Plasma Proteome
Project and the Michigan Proteomics Alliance for Cancer
Research. Omenn is the author
scientific reviews and author/editor of
director ofAmgen,
chaired the Presidential/Congressional Commission on Risk
Assessment and Risk Management ("Omenn Commission")
and the NAS/NRC/IOM Committee on Science, Engineering
and Public Policy, and served as president of the American
Association for the Advancement of Science (AAAS). |
| adam_txt |
Table of Contents
1
phase with
generating a core
database
Cilbert S. Omenn, DavidJ. States,
Rajasree Menon,
Richard J. Simpson, James S. Eddes, Eugene A.
Daniel W. Chan, AlexJ.
William S. Hancock, Stanley A Hefia, Helmut Meyer, Young-Ki Paik,
Jong-Shin Yoo, Peipei Ping, Joel Pounds, Joshua Adkins, Xiaohong Qian,
Rong Wang Valerie Wasinger, Chi Yue Wu, Xiaohang Zhao, Rong
Alexander Archakov, Akira Tsugita,
Philip Andrews,
1.1
1.2
1.3
1.3.1
1.3.2
1.3.3
1.4
1.4.1
1.4.2
proteins
1.4.3
1.4.4
1.4.5
1.4.6
1.4.7
1.4.8
1.4.9
1.4.10
Exploring the Human Plasma Proteome. Edited by Gilbert S. Omenn
Copyright
ISBN:
VI
1.5
1.6
2
HUPO Plasma Proteome Project
Marcin
Henning Hermjakob,
2.1
2.2
2.2.1
2.2.1.1
2.2.1.2
2.2.1.3
2.2.1.4
2.2.1.5
2.2.1.6
2.2.1.7
2.2.2
2.2.3
2.2.4
2.3
2.4
2.4.1
2.5
2.6
2.7
2.8
2.9
2.10
3
the standardization of parameters for plasma proteome samples
AlexJ.
Mark D. Schuchard, Richard J. Mehigh, Steven L Cockrill,
Harald
Brian
3.1
3.2
3.2.1
3.2.2
3.2.3
3.2.4
Table of Contents
3.2.5
3.2.6
3.2.7
3.2.8
studies
3.2.9
amplification
3.3
3.3.1
3.3.1.1
3.3.1.2
3.3.2
3.3.3
3.3.3.1
in plasma
3.3.3.2
3.3.3.3
3.4
3.4.1
3.4.2
3.5
3.6
4
Proteome Project reference specimens: Systematic variation between
sample types and calibration of mass spectrometry data
Brian B. Haab,
Sara Forrester, Ryan
Lorah
Gilberts. Omerrn
4.1
4.2
4.2.1
4.2.2
4.2.3
4.2.3.1
4.2.3.2
4.2.3.3
4.2.4
4.2.4.1
4.2.4.2
4.2.4.3
VIII
4.2.5
4.2.5.1
4.2.5.2
4.2.5.3
4.2.5.4
4.2.6
4.3
4.3.1
4.3.2
reference specimens
4.3.3
4.3.4
4.4
4.5
5
capacities of human serum and plasma
Lynn
David
5.1
5.2
5.2.1
5.2.2
5.2.3
5.2.4
5.2.5
5.2.6
5.3
5.3.1
proteins
5.3.2
5.3.3
5.3.4
proteins using 2-D gels
5.3.5
and narrow
5.3.6
pixelation
5.4
5.5
Table
6
separation methods enables detection of low-abundance proteins in
human plasma and serum proteomes
Hsin-Yao Tang, Nadeem
JohnJ. Rux and David W.
6.1
6.2
6.2.1
6.2.2
6.2.3
6.2.4
6.2.5
6.2.6
6.3
6.3.1
6.3.2
6.3.3
proteome
6.3.4
6.3.5
6.3.6
criteria
6.4
6.5
7
(HUPO) using multilectin affinity chromatography coupled with
RPLC-MS/MS
Ziping Yang, William S. Hancock, Tori Richmond Chew and
7.1
7.2
7.2.1
7.2.2
7.2.3
7.2.4
7.2.5
7.3
7.3.1
7.3.2
7.3.3
three ethnic groups
X Table of Contents
7.4
7.5
8
multidimensional based chromatography of serum proteins
Eilon Barnea,
8.1
8.1.1
complex sample
8.1.2
8.2
8.2.1
8.2.2
8.2.3
8.2.4
8.2.5
8.2.6
8.2.7
8.3
8.3.1
8.3.2
8.3.3
8.3.4
8.4
8.4.1
8.4.2
8.4.3
8.4.4
8.4.5
8.5
8.6
9
and construction of a two-dimensional map
Sang Yun Cho, Eun-Young Lee,
Mm-Seok Kwon, Young-Kew Park, Hyoung-Joo Lee,, Min-Jung Kang,Jin Young Kim,
Jong Shin Yoo, Sungjm Park, Jin Won Cho, Hyon-Suk Kim and Young-Ki Paik
9.1
9.2
9.2.1
9.2.2
column
Table
9.2.3
9.2.4
9.2.5
9.2.6
9.2.7
9.3
9.3.1
9.3.2
9.3.3
9.4
9.5
10
of the human serum proteome in HUPO Plasma Proteome Project
Xiaohai Li, Yan Cong, Ying Wang, Songfeng Wu, Yun
Wantao Ying Yangjun Zhang, Liyanjiao, Hongzhi He, Zisen Zhang, Fuchu He,
Xiaohang Zhao and Xiaohong Qian
10.1
10.2
10.2.1
10.2.2
10.2.3
10.2.4
10.2.5
ultrafiltration
10.2.6
10.2.7
10.2.8
10.2.8.1
10.2.8.2
10.2.8.3
10.2.9
10.2.9.1
10.2.9.2
10.2.9.3
10.2.10
10.2.10.1
10.2.10.2
10.2.10.3
proteins
10.2.11
XII
10.2.11.1
peptides
10.2.11.2
SCX-separated
10.2.12
SCX-separated peptides (offline-nanospray strategy)
10.3
10.3.1
10.3.2
10.4
10.4.1
10.4.2
10.4.3
10.4.4
10.4.5
10.4.6
proteins
10.4.7
proteome
10.5
10.6
11
using an accurate mass and time tag strategy
Joshua
Jon M.Jacobs, David
С
11.1
11.2
11.2.1
11.2.2
11.2.3
11.2.4
11.2.5
11.2.6
11.2.7
11.2.8
11.2.9
11.2.10
11.3
11.3.1
Table of Contents
11.3.2
11.3.3
11.3.4
11.4
11.4.1
11.4.2
11.4.3
11.4.4
11.4.5
11.5
12
(HUPO PPP) reference specimens using surface enhanced laser desorption/
ionization-time offlight (SELDI-TOF) mass spectrometry: Multi-institution
correlation of spectra and identification of biomarkers
AlexJ.
Rebecca E. Caffrey, Vladimir
Natalia V. Shipulina, Daniel W. Chan, O.John Semmes
and Hon-chiu Eastwood Leung
12.1
12.2
12.2.1
12.2.2
12.2.3
12.2.4
12.2.5
12.2.6
12.2.7
12.2.8
12.2.9
12.2.10
12.3
12.4
12.5
13
available MS/MS search algorithms: Sensitivity and specificity analysis
Eugene
Christine A. Miller, David Fenyo, Jimmy K.
Gilbert S. Omenn and RichardJ. Simpson
13.1
13.1.1
XIV
13.1.2
13.2
13.2.1
13.2.2
13.2.3
13.2.4
13.2.4.1
group
13.2.4.2
group
13.2.4.3
13.2.4.4
13.2.5
13.2.6
13.3
13.3.1
13.3.1.1
13.3.1.2
different MS/MS search algorithms: Distribution of scores and ROC
plots
13.3.1.3
rates
13.3.1.4
rate
13.3.1.5
13.3.1.6
13.3.1.7
13.4
13.5
14
Eric W. Deutschjimmy K.
Biaoyang Lin, Hookeun Lee, Eugene
14.1
15
public proteomics data repositories
Lennart Martens, Alexey I. Nesvizhskii,
albert
15.1
Table of Contents XV
16
Peipei Ping, Thomas M. Vondriska, ChadJ. Creighton, TKB Gandhi,
Ziping Yang, Rajasree Menon, Min-Seok Kwon, Sang Yun Cho, Carry
Markus Kellmann,
Raghothama Chaerkady, B. Rekha, Arun S. Shet, Robert E. Cerszten,
Haifeng Wu,, Mark Raflery, Valerie Wasinger, Peter
Samir M. Hanash, Young-ki Paik, William S. Hancock, Davidj. States,
Gilbert S. Omenn and Akhilesh Pandey
16.1
16.2
16.2.1
16.2.2
16.2.3
post-translational modifications
16.3
16.3.1
16.3.1.1
16.3.1.2
16.3.2
16.3.3
16.3.4
16.3.5
16.3.6
16.3.7
16.3.8
16.3.9
16.3.9.1
16.3.9.2
16.3.9.3
16.3.10
16.3.10.1
16.3.10.2
16.4
16.5
17
Plasma Proteome Project Pilot Phase
Beniam T. Berhane, ChenggongZong David A. Hem, Aaron Huang, Steven
Ricky D. Edmondson, Richard C.Jones, Xin Qiao, Julian P. Whitelegge,
Peipei Ping and Thomas M. Vondriska
17.1
17.1.1
XVI
17.1.2
17.2
17.3
17.3.1
17.3.2
17.3.3
17.3.4
17.3.5
17.3.6
17.3.7
17.3.8
17
17.4.1
Xl
17.5
17.6
17.7
Un
mises to generate a new wave of technologies to help identify many
different diseases and disease risks.
Plasma and serum are the preferred non-invasive specimens to test
normal individuals, at-risk groups, and patients for protein biomarkers
discovered and validated to reflect physiological, pathological, and phar¬
macological phenotypes. These specimens present enormous challenges
due to extreme complexity, huge dynamic range in protein concentra¬
tions, non-standardized methods of sample processing, and
inter-individual variation from genetics, diet, smoking, hormones, and
other sources.
This book presents the major findings from the collaborative Plasma
Proteome Project organized by the international Human Proteome
Organization (HUPO). The chapters are drawn from a larger set of pub¬
lications in the journal PROTEOMICS. This book provides a valuable
foundation for development and applications of proteomics.
Gilbert S. Omenn is Professor of Internal Medicine, Human
Genetics, and Public Health and director of the Center for
Computational Medicine and Biology at the University of
Michigan. Since
Proteome Organization (HUPO) Human Plasma Proteome
Project and the Michigan Proteomics Alliance for Cancer
Research. Omenn is the author
scientific reviews and author/editor of
director ofAmgen,
chaired the Presidential/Congressional Commission on Risk
Assessment and Risk Management ("Omenn Commission")
and the NAS/NRC/IOM Committee on Science, Engineering
and Public Policy, and served as president of the American
Association for the Advancement of Science (AAAS). |
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| spelling | Exploring the human plasma proteome ed. by Gilbert S. Omenn Weinheim Wiley-VCH 2006 XXII, 372 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Protéines plasmatiques Protéomique Diagnostic Techniques and Procedures Proteomics Humanplasma (DE-588)4160785-5 gnd rswk-swf Proteomanalyse (DE-588)4596545-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Humanplasma (DE-588)4160785-5 s Proteomanalyse (DE-588)4596545-6 s DE-604 Omenn, Gilbert S. Sonstige (DE-588)130818593 oth text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2843955&prov=M&dok_var=1&dok_ext=htm Inhaltstext Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014958492&sequence=000003&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014958492&sequence=000004&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Exploring the human plasma proteome Protéines plasmatiques Protéomique Diagnostic Techniques and Procedures Proteomics Humanplasma (DE-588)4160785-5 gnd Proteomanalyse (DE-588)4596545-6 gnd |
| subject_GND | (DE-588)4160785-5 (DE-588)4596545-6 (DE-588)4143413-4 |
| title | Exploring the human plasma proteome |
| title_auth | Exploring the human plasma proteome |
| title_exact_search | Exploring the human plasma proteome |
| title_exact_search_txtP | Exploring the human plasma proteome |
| title_full | Exploring the human plasma proteome ed. by Gilbert S. Omenn |
| title_fullStr | Exploring the human plasma proteome ed. by Gilbert S. Omenn |
| title_full_unstemmed | Exploring the human plasma proteome ed. by Gilbert S. Omenn |
| title_short | Exploring the human plasma proteome |
| title_sort | exploring the human plasma proteome |
| topic | Protéines plasmatiques Protéomique Diagnostic Techniques and Procedures Proteomics Humanplasma (DE-588)4160785-5 gnd Proteomanalyse (DE-588)4596545-6 gnd |
| topic_facet | Protéines plasmatiques Protéomique Diagnostic Techniques and Procedures Proteomics Humanplasma Proteomanalyse Aufsatzsammlung |
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