Toward Completion of the Human Proteome Parts List: Progress Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods

Uncovering Proteins That Are Missing or Have Unknown Function and Developing Analytical Methods F the past 6 years, the Journal of Proteome Research has supported the Human Proteome Organization (HUPO) in dedicating a special issue of the journal to the Chromosomecentric Human Proteome Project (C-HPP); for the past 2 years, it has encompassed the whole HPP with contributions also from the Biology/Disease (B/D)-HPP and the HPP resource pillars. The 32 papers published this month further annotate the human protein parts list or present advances in analytical methods for the identification of proteoforms or new members of the human proteome. This Editorial presents highlights of selected papers that focus on the increasingly difficult task for the C-HPP international teams of identifying the remaining unannotated proteins in the human proteome that lack evidence of existence at the protein level (PE1) but have less direct evidence of their existence (PE2,3,4), the socalled missing proteins (MPs) in neXtProt. In total, 104 MPs have been found that meet the stringent HPP guidelines designed to mitigate against false discovery and incorrect annotation in neXtProt and other public databases (Table 1).

[1]  A. Lisitsa,et al.  Increased Sensitivity of Mass Spectrometry by Alkaline Two-Dimensional Liquid Chromatography: Deep Cover of the Human Proteome in Gene-Centric Mode. , 2018, Journal of proteome research.

[2]  Akira Togayachi,et al.  Current Technologies for Complex Glycoproteomics and Their Applications to Biology/Disease-Driven Glycoproteomics. , 2018, Journal of proteome research.

[3]  Nuno Bandeira,et al.  ProteinExplorer: A Repository-Scale Resource for Exploration of Protein Detection in Public Mass Spectrometry Data Sets. , 2018, Journal of proteome research.

[4]  Huanming Yang,et al.  Improvement of Peptide Separation for Exploring the Missing Proteins Localized on Membranes. , 2018, Journal of proteome research.

[5]  C. Overall,et al.  Global Profiling of Proteolysis from the Mitochondrial Amino Terminome during Early Intrinsic Apoptosis Prior to Caspase-3 Activation. , 2018, Journal of proteome research.

[6]  Y. Paik,et al.  ASV-ID, a Proteogenomic Workflow To Predict Candidate Protein Isoforms on the Basis of Transcript Evidence. , 2018, Journal of proteome research.

[7]  L. Pieroni,et al.  Sequential Fractionation Strategy Identifies Three Missing Proteins in the Mitochondrial Proteome of Commonly Used Cell Lines. , 2018, Journal of Proteome Research.

[8]  Y. Guan,et al.  Chromosome 17 Missing Proteins: Recent Progress and Future Directions as Part of the neXt-MP50 Challenge. , 2018, Journal of proteome research.

[9]  F. He,et al.  Multiproteases Combined with High-pH Reverse-Phase Separation Strategy Verified Fourteen Missing Proteins in Human Testis Tissue. , 2018, Journal of proteome research.

[10]  F. He,et al.  Digging for Missing Proteins Using Low-Molecular-Weight Protein Enrichment and a "Mirror Protease" Strategy. , 2018, Journal of proteome research.

[11]  Johannes Griss,et al.  Expanding the Use of Spectral Libraries in Proteomics. , 2018, Journal of proteome research.

[12]  C. Lindskog,et al.  Integration of Transcriptomics and Antibody-Based Proteomics for Exploration of Proteins Expressed in Specialized Tissues. , 2018, Journal of proteome research.

[13]  G. Omenn,et al.  Launching the C-HPP neXt-CP50 Pilot Project for Functional Characterization of Identified Proteins with No Known Function. , 2018, Journal of proteome research.

[14]  Yang Zhang,et al.  Structure and Protein Interaction-Based Gene Ontology Annotations Reveal Likely Functions of Uncharacterized Proteins on Human Chromosome 17. , 2018, Journal of proteome research.

[15]  Olga A. Kleyst,et al.  Next Steps on in Silico 2DE Analyses of Chromosome 18 Proteoforms. , 2018, Journal of proteome research.

[16]  Lydie Lane,et al.  Update of the Functional Mitochondrial Human Proteome Network. , 2018, Journal of proteome research.

[17]  Luis Mendoza,et al.  Flexible and Fast Mapping of Peptides to a Proteome with ProteoMapper. , 2018, Journal of proteome research.

[18]  Reta Birhanu Kitata,et al.  Subcellular Proteome Landscape of Human Embryonic Stem Cells Revealed Missing Membrane Proteins. , 2018, Journal of proteome research.

[19]  Amos Bairoch,et al.  Exploring the Uncharacterized Human Proteome Using neXtProt. , 2018, Journal of proteome research.

[20]  Amos Bairoch,et al.  Large-Scale Reanalysis of Publicly Available HeLa Cell Proteomics Data in the Context of the Human Proteome Project. , 2018, Journal of proteome research.

[21]  Peipei Ping,et al.  Integrated Dissection of Cysteine Oxidative Post-translational Modification Proteome During Cardiac Hypertrophy. , 2018, Journal of proteome research.

[22]  K. Blennow,et al.  Biology/Disease-Driven Initiative on Protein-Aggregation Diseases of the Human Proteome Project: Goals and Progress to Date. , 2018, Journal of proteome research.

[23]  James E. Johnson,et al.  Bridging the Chromosome-centric and Biology/Disease-driven Human Proteome Projects: Accessible and Automated Tools for Interpreting the Biological and Pathological Impact of Protein Sequence Variants Detected via Proteogenomics. , 2018, Journal of proteome research.

[24]  C. Pineau,et al.  Deciphering the Dark Proteome: Use of the Testis and Characterization of Two Dark Proteins. , 2018, Journal of proteome research.

[25]  Loïc Dayon,et al.  Deep Dive on the Proteome of Human Cerebrospinal Fluid: A Valuable Data Resource for Biomarker Discovery and Missing Protein Identification. , 2018, Journal of proteome research.

[26]  Jong Shin Yoo,et al.  Identification of Missing Proteins in Human Olfactory Epithelial Tissue by Liquid Chromatography-Tandem Mass Spectrometry. , 2018, Journal of proteome research.

[27]  L. Dayon,et al.  Identification of Missing Proteins in Normal Human Cerebrospinal Fluid. , 2018, Journal of proteome research.

[28]  G. Omenn,et al.  Progress on Identifying and Characterizing the Human Proteome: 2018 Metrics from the HUPO Human Proteome Project. , 2018, Journal of proteome research.

[29]  I. Kohane,et al.  A Cloud-Based Metabolite and Chemical Prioritization System for the Biology/Disease-Driven Human Proteome Project. , 2018, Journal of proteome research.

[30]  F. Corrales,et al.  Identification of the Missing Protein Hyaluronan Synthase 1 in Human Mesenchymal Stem Cells Derived from Adipose Tissue or Umbilical Cord. , 2018, Journal of proteome research.

[31]  Edward Lau,et al.  Identifying high-priority proteins across the human diseasome using semantic similarity , 2018, bioRxiv.

[32]  Jung-Hsien Chiang,et al.  Systematic Protein Prioritization for Targeted Proteomics Studies through Literature Mining. , 2018, Journal of proteome research.

[33]  U. Eckhard,et al.  The Human Odontoblast Cell Layer and Dental Pulp Proteomes and N-Terminomes , 2018, Journal of dental research.

[34]  Tao Zhang,et al.  Multi-Protease Strategy Identifies Three PE2 Missing Proteins in Human Testis Tissue. , 2017, Journal of proteome research.

[35]  C. Lindskog,et al.  Validating Missing Proteins in Human Sperm Cells by Targeted Mass-Spectrometry- and Antibody-based Methods. , 2017, Journal of proteome research.

[36]  Martin Eisenacher,et al.  Proteomics Standards Initiative: Fifteen Years of Progress and Future Work , 2017, Journal of proteome research.

[37]  Lennart Martens,et al.  Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1. , 2016, Journal of proteome research.

[38]  Thibault Robin,et al.  Looking for Missing Proteins in the Proteome of Human Spermatozoa: An Update. , 2016, Journal of proteome research.

[39]  Andrew I Su,et al.  Data-Driven Approach To Determine Popular Proteins for Targeted Proteomics Translation of Six Organ Systems. , 2016, Journal of proteome research.

[40]  Tao Zhang,et al.  Tissue-Based Proteogenomics Reveals that Human Testis Endows Plentiful Missing Proteins. , 2015, Journal of proteome research.

[41]  Theodoros Goulas,et al.  LysargiNase mirrors trypsin for protein C-terminal and methylation-site identification , 2014, Nature Methods.

[42]  Progress Identifying and Analyzing the Human Proteome: 2021Metrics from the HUPO Human Proteome Project , 2022 .