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HPM specifications

Information


Unique identifier OMICS_14414
Name HPM
Alternative name Human Proteome Map
Interface Web user interface
Restrictions to use Academic or non-commercial use
Input data Official HGNC gene symbols.
Output data Hypotheses regarding gene families, protein complexes, signaling pathways, biomarkers, therapeutic targets, immune function and human development.
Output format JPG, PDF
Programming languages PHP
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Harsha Gowda

Publication for Human Proteome Map

HPM citations

 (42)
library_books

Mass Spectrometry Based Proteomic Profiling of Thrombotic Material Obtained by Endovascular Thrombectomy in Patients with Ischemic Stroke

2018
Int J Mol Sci
PMCID: 5855720
PMID: 29414888
DOI: 10.3390/ijms19020498

[…] Three years ago, a human proteome map was made available that comprised proteins and polypeptides resulting from the activity of 17,294 genes []. Based on these discoveries, the rapid development of proteomic techniques […]

library_books

Expitope 2.0: a tool to assess immunotherapeutic antigens for their potential cross reactivity against naturally expressed proteins in human tissues

2017
BMC Cancer
PMCID: 5745885
PMID: 29282079
DOI: 10.1186/s12885-017-3854-8

[…] ression data from Wang et al. []. The new version 2.0 of Expitope incorporates three gene expression and four protein abundance datasets (Table ). It should be noted that in contrast to the PaxDB and Human Proteome Map datasets, which contain ppm values, the Human Protein Atlas data has been generated by immunohistochemistry, which makes the accuracy of the data dependent on the specificity of the […]

library_books

High rate of adaptation of mammalian proteins that interact with Plasmodium and related parasites

2017
PLoS Genet
PMCID: 5634635
PMID: 28957326
DOI: 10.1371/journal.pgen.1007023

[…] nsortium [] (https://www.encodeproject.org/). The density of DNaseI hypersensitivity regions was calculated in 50 Kb windows centered on each ortholog.Protein expression levels were obtained from the Human Proteome Map [] (http://www.humanproteomemap.org/), which used high resolution and high accuracy Fourier transform mass spectrometry experiments. We summed spectral values over 30 tissues and ce […]

library_books

Isoform Evolution in Primates through Independent Combination of Alternative RNA Processing Events

2017
Mol Biol Evol
PMCID: 5850651
PMID: 28957512
DOI: 10.1093/molbev/msx212

[…] Peptide evidence from large-scale mass spectrometry studies was extracted from PRIDE (), PeptideAtlas (), ProteomicsDB (), and Human Proteome Map (). A peptide was considered to support the protein expression of an isoform only if 1) when performing BLAT similarity searches against all human proteins (RefSeq, BLAT settings -t […]

library_books

Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function

2017
Theranostics
PMCID: 5558563
PMID: 28819457
DOI: 10.7150/thno.19679

[…] hat processes pro-insulin and other hormones and is highly expressed in the pancreas. Some of these inflammatory proteins are highly expressed in monocytes and renal tissue according to data from the human proteome map , . Their expression levels in various cells and tissues are included in the Supplementary Data, Dataset S2.Most differently abundant proteins had higher ratios when only the T1D co […]

library_books

A Golden Age for Working with Public Proteomics Data

2017
Trends Biochem Sci
PMCID: 5414595
PMID: 28118949
DOI: 10.1016/j.tibs.2017.01.001

[…] sent the field is experiencing a ‘golden age’ for MS proteomics resources. Several notable resources have come into being, including MassIVE (http://massive.ucsd.edu/), jPOST (http://jpost.org/), the Human Proteome Map (http://www.humanproteomemap.org/), ProteomicsDB (https://www.proteomicsdb.org/), and Chorus (https://chorusproject.org/) (for a recent review, see ). In 2011 some of the most promi […]

Citations

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HPM institution(s)
McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Institute of Bioinformatics, International Tech Park, Bangalore, India; Adrienne Helis Malvin Medical Research Foundation, New Orleans, LA, USA; The Donnelly Centre, University of Toronto, Toronto, ON, Canada; Department of Pathology, Universidad de La Frontera, Center of Genetic and Immunological Studies-Scientific and Technological Bioresource Nucleus, Temuco, Chile; School of Medicine, Imperial College London, South Kensington Campus, London, UK; Department of Neurosurgery, Postgraduate Institute of Medical Education & Research, Chandigarh, India; Department of Internal Medicine Armed Forces Medical College, Pune, India; Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bangalore, India; Human Brain Tissue Repository, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, India; Department of Chemical and Biomolecular Engineering and Division of Biomedical Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, China; Department of Neurology, National Institute of Mental Health and Neurosciences, Bangalore, India; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; The Sol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Departments of Immunology and Urology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Obstetrics and Gynecology, Johns Hopkins University School of Medicine Baltimore, MD, USA; Diana Helis Henry Medical Research Foundation, New Orleans, LA, USA
HPM funding source(s)
This work was supported by an NIH roadmap grant for Technology Centers of Networks and Pathways (U54GM103520), NCI’s Clinical Proteomic Tumor Analysis Consortium initiative (U24CA160036), a contract (HHSN268201000032C) from the National Heart, Lung and Blood Institute and the Sol Goldman Pancreatic Cancer Research Center, the National Resource for Network Biology (P41GM103504), DBT Program Support on Neuroproteomics (BT/01/COE/08/05), Wellcome Trust-DBT India Alliance Early Career Fellow, Council of Scientific and Industrial Research, University Grants Commission and Department of Science and Technology, Government of India

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