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A draft map of the human proteome

Authors :
Kim, Minsik
Pinto, Sneha Maria Aria
Getnet, Derese
Nirujogi, Raja Sekhar Ekhar
Manda, Srikanth Srinivas Rinivas
Chaerkady, Raghothama
Madugundu, Anil Kumar
Kelkar, Dhanashree
Isserlin, Ruth
Jain, Shobhit
Thomas, Joji Kurian
Muthusamy, Babylakshmi
Leal-Rojas, Pamela
Kumar, Praveen
Sahasrabuddhe, Nandini
Balakrishnan, Lavanya
Advani, Jayshree
George, Bijesh
Renuse, Santosh
Selvan, Lakshmi Dhevi Nagarajha Nagarajha
Patil, Arun
Nanjappa, Vishalakshi
Radhakrishnan, Aneesha
Prasad, Samarjeet
Subbannayya, Tejaswini
Raju, Rajesh
Kumar, Manish Vijaya
Sreenivasamurthy, Sreelakshmi
Marimuthu, Arivusudar
Sathe, Gajanan
Chavan, Sandip
Datta, Keshava
Subbannayya, Yashwanth
Sahu, Apeksha
Yelamanchi, Soujanya
Jayaram, Savita
Rajagopalan, Pavithra
Sharma, Jyoti
Murthy, Krishna Ramachandra
Syed, Nazia
Goel, Renu
Khan, Aafaqueahmad
Ahmad, Sartaj Akhtar
Dey, Gourav
Mudgal, Keshav
Chatterjee, Aditi
Huang, Taichung
Zhong, Jun
Wu, Xinyan
Shaw, Patrick
Freed, Donald
Zahari, Muhammad Saddiq
Mukherjee, Kanchan Kumar
Shankar, Subramanian Ravi
Mahadevan, Anita
Lam, Henry H N
Mitchell, Christopher
Shankar, Susarla Krishna Rishna
Satishchandra, Parthasarathy
Schroeder, John
Sirdeshmukh, Ravi
Maitra, Anirban
Leach, Steven
Drake, Charles
Halushka, Marc Kenneth
Prasad, Thottethodi Subrahmanya Keshava
Hruban, Ralph
Kerr, Candace
Bader, Gary
Iacobuzio-Donahue, Christine
Gowda, Harsha
Pandey, Akhilesh
Kim, Minsik
Pinto, Sneha Maria Aria
Getnet, Derese
Nirujogi, Raja Sekhar Ekhar
Manda, Srikanth Srinivas Rinivas
Chaerkady, Raghothama
Madugundu, Anil Kumar
Kelkar, Dhanashree
Isserlin, Ruth
Jain, Shobhit
Thomas, Joji Kurian
Muthusamy, Babylakshmi
Leal-Rojas, Pamela
Kumar, Praveen
Sahasrabuddhe, Nandini
Balakrishnan, Lavanya
Advani, Jayshree
George, Bijesh
Renuse, Santosh
Selvan, Lakshmi Dhevi Nagarajha Nagarajha
Patil, Arun
Nanjappa, Vishalakshi
Radhakrishnan, Aneesha
Prasad, Samarjeet
Subbannayya, Tejaswini
Raju, Rajesh
Kumar, Manish Vijaya
Sreenivasamurthy, Sreelakshmi
Marimuthu, Arivusudar
Sathe, Gajanan
Chavan, Sandip
Datta, Keshava
Subbannayya, Yashwanth
Sahu, Apeksha
Yelamanchi, Soujanya
Jayaram, Savita
Rajagopalan, Pavithra
Sharma, Jyoti
Murthy, Krishna Ramachandra
Syed, Nazia
Goel, Renu
Khan, Aafaqueahmad
Ahmad, Sartaj Akhtar
Dey, Gourav
Mudgal, Keshav
Chatterjee, Aditi
Huang, Taichung
Zhong, Jun
Wu, Xinyan
Shaw, Patrick
Freed, Donald
Zahari, Muhammad Saddiq
Mukherjee, Kanchan Kumar
Shankar, Subramanian Ravi
Mahadevan, Anita
Lam, Henry H N
Mitchell, Christopher
Shankar, Susarla Krishna Rishna
Satishchandra, Parthasarathy
Schroeder, John
Sirdeshmukh, Ravi
Maitra, Anirban
Leach, Steven
Drake, Charles
Halushka, Marc Kenneth
Prasad, Thottethodi Subrahmanya Keshava
Hruban, Ralph
Kerr, Candace
Bader, Gary
Iacobuzio-Donahue, Christine
Gowda, Harsha
Pandey, Akhilesh
Publication Year :
2014

Abstract

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. © 2014 Macmillan Publishers Limited.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn895606193
Document Type :
Electronic Resource