Péter Horvatovich, University of Groningen, The Netherlands
The annual meeting of the C-HPP and C-HPP PIs (PIC) was held at HUPO 2018 in Orlando, Florida. The meeting was very well attended by members and PIs. A progress report on the next-MP50 was prepared before the meeting and will be updated when all reports have been submitted and uploaded to the C-HPP Wiki. Several important decisions were made after extensive discussions. Following Young-Ki Paik’s Paik (Yonsei University) proposal to rotate the leadership of C-HPP. Chris Overall (University of British Columbia) was unanimously elected as C-HPP Chair. Young-Ki was then elected as the new Co-Chair with Lydie Lane continuing her current position as shared Co-Chair of C-HPP Executive Committee (EC).
Collaborations with B/D-HPP. To further the collaborations with the B/D-HPP, the membership of the C-HPP agreed that the uPE1 project was ideal to combine with the talents and resources of the B/D-HPP, and in discussions with the B/D-HPP leadership this too was agreed (see Figure, noting that for clarity the Pillars etc. are not shown). Relevant papers in the JPR SI can be found in PMID 30269496.
Human Cell Proteome Atlas. As part of the rare cells and tissues strategy to find MPs, a parallel value-added project to annotate the proteins of specific normal human cell types received considerable support with the view of creating a Human Cell Proteome Atlas that would be done in collaboration with B/D-HPP. The aim of the HCPA is to annotate the proteomes of normal human cells (fresh prepared or low passage number primary culture) so as to provide an authorative and convenient single lookup data base that would complement the other resources based on antibodies (Human Protein Atlas), Cellosaurus, and various genetic based resources. During HUPO the C-HPP initiated discussions with Dr. Neil Keller to bring this proposal to the HUPO EC for discussion and approval.
C-HPP 2.0. Deep discussions took place on a proposed “chromosome-rearrangement” of the working nucleus of the C-HPP, which had been floated to the membership at the Santiago C-HPP workshop on 23rd June. The proposed new structure, as part of “C-HPP 2.0”, would collapse the number of national Chromosome teams by approximately half based on their activities. Freed-up C-HPP team members would remain as members at large or nucleate bottom up to form new annotation C-HPP annotation teams based on protein families, cell types, or new technologies. Such teams would have equal standing with those teams wishing to remain chromosome based.
Following further discussion, the membership clearly expressed their wish and desire to pursue their national projects under the current chromosome-organised structure. Points brought up included that Chromosome teams very much liked having a recognised national “brand” as a platform to nucleate like-minded labs and centers to work collaboratively together, importantly a Chromosome “face” was valuable to interface more effectively with Universities, Funding Agencies and Governments. It was also expressed that this structure was the most effective to support the current projects, many of which are in fact chromosome orientated, i.e. finding missing proteins (neXt-MP50), discovering uPE1 protein functions (neXt-CP50), and to maintain funding and salaries by some teams that have secured significant operating funds. Members of the Italian Mt team proposed an innovative cross matrix solution that has been drawn in the figure, that was greeted with great enthusiasm as meeting the new needs and scientific objectives of the C-HPP under the HPP umbrella.
A motion to retain the existing Chromosome Structure was seconded and put to the vote, which was carried unanimously.
Bioinformatics Hub. In other activities at the bioinformatics hub shared great interactions between the leaders of the main HPP resources and tools (ProteomExchange, PetideAtlas, MASSIVE, neXtProt and HPA) in order to make the most of the available data and complete the annotation of the human proteome parts list.
Annual C-HPP Workshop. The annual C-HPP workshop entitled: “Illuminating the Dark Proteome” has a major goal to advance uPE1 functionalization in the next-CP50 project. The workshop is organized by Charles Pineau in collaboration with Chris Overall and Fernando Corrales. The workshop will take place in Saint-Malo, France, a historic city on the Brittany coast (France), from 12 to 14 May 2019, with the hotels within the actual historic citadel and featuring excellent French cuisine and wines.
HPP Scientific Terms, Definitions & Abbreviations
Definition of most often used terms such as Human Proteome Project (HPP), Chromosome-Centric Human Proteome Project (C-HPP), Biology/Disease Human Proteome Project (B/D-HPP), Protein Evidence (PE), Uncharacterized PE1 proteins (uPE1s), Missing Proteins (MPs), HPP Guidelines, Dark Proteome, Proteoforms, neXt-MP50, neXt-CP50 and Popular proteins. Exact definitions of these terms with explanation and link to scientific article as supporting reference, to additional resources such as list of MPs or uPE1s is provided in PDF document at the HUPO webpage, at the C-HPP Wiki, and as wiki page with live links at C-HPP Wiki. We encourage the scientific community to discuss further these terms and complete it with additional ones during the HUPO 2018 Orlando congress.
C-HPP Wiki update
The program of C-HPP activities at HUPO 2018 (Orlando, US, September 30-october 4, 2018) are summarized at C-HPP Wiki, showing pre and post congress C-HPP programs, Bioinformatics Hub and C-HPP sessions. Many presentations provided by authors are already available at C-HPP Wiki and others will be made public upon availability in the next few weeks. We encourage the C-HPP Chromosome members to share news, presentations and highlights on their work themselves on the C-HPP Wiki page.
Michelle Hill, QIMR Berghofer Medical Research Institute, and The University of Queensland, Australia
Launch of the HPP Pathology Pillar at HUPO2018 was met with great enthusiasm, particularly with the clinical scientist and pathologist travel grant winners. “I was very excited to learn about the establishment of the new Pathology Pillar of the Human Proteome Project”, said Kun-Hsing Yu (Department of Pathology, Brigham and Women’s Hospital and Department of Biomedical Informatics, Harvard Medical School, USA). Peter Stewart’s (Royal Prince Alfred Hospital Sydney) advice to tackle the “low-hanging fruit”, as a strategy forward particularly struck a chord with Yunki Yau (Gastroenterology Department, Concord Repatriation General Hospital, AUSTRALIA): ‘By improving on current clinical tests that aren’t satisfactory with proteomic techniques and technology, we can foster confidence in our workflows in the wider clinical community.”
The seven travel grant winners, the pathology pillar leaders and the Biology Disease Human Proteome Project Executive Committee members had a productive roundtable meeting in Orlando. HUPO Young Gun, ECR member and clinician-scientist Ferdinando Cerciello (Department of Oncology, University Hospital Zurich, Switzerland) moderated the discussion.
In-depth discussions ensued around the topic “Can proteomics speed up drug discovery?””, posed by Ferdinando. Danni Li (Director of Clinical Chemistry, Department of Laboratory Medicine and Pathology, University of Minnesota) posed the thought-provoking question, what is proteomics? “To me, proteomics is to measure proteins. In this definition, proteomic technologies have been used for drug discovery for a long time.”, said Danni. Yunki Yau agrees. “Are we fundamentally interested in making MS-based protein assays a clinical instrument? Or do we essentially want clinical legitimacy for protein biomarkers and drug targets, no matter how we do it?” Jesper Kers (Department of Pathology, University of Amsterdam & VU University Amsterdam, The Netherlands) also voiced the point “Clinical proteomics should be driven by clinician’s unmet needs, because they are the most important potential end-users of the technique.”
In addition to the current strategy of engaging clinicians & pathologists, there was agreement on the importance of engaging the pharmaceutical companies in future HUPO meetings. Michael Roehrl (Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, USA) suggested that “we all need to engage directly with biotech and pharma to make functional proteomics a key strategy for the next generation of companion diagnostics.”
Several clinician scientists and pathologists strongly agree with the need for standardization and automation, which was highlighted by several speakers during the HPP track session: Partnering with Pathology Towards Precision Medicine. “I think the HUPO pathology pillar can play a crucial role in standardization of proteomics assays among laboratories in order to assure high quality and reproducible results.”, says Jesper Kers.
Ferdinando’s second discussion point “Can next-gen proteomics biomarkers be as good or better than current imaging/diagnostics?” brought additional discussions around reimbursement and funding of clinical tests. There was general agreement that proteomics can and should add value to the existing tests, with opportunities and strategies to cross barriers discussed in detail. Jesper Kers suggests that “An example where I think mass spectrometry can have an additional value over DNA sequencing is holistic profiling of immune responses, in both the setting of oncology and immunometabolic diseases.”
As 90 minutes quickly passes, Jennifer Van Eyk (Cedars Sinai Medical Center) suggests the preparation and publication of a white paper on the key points and conclusions, as a way forward. With support from the group, Michael Roehrl graciously agrees to lead this endeavour. “We need to work as a community to firmly establish proteomics as the new frontier of theragnostic molecular testing in pathology”, says Michael. From the roundtable and HUPO congress, Margaret Simonian (University of California Los Angeles) was inspired to collaborate between all omics, clinicians and scientist “to advance treatments and diagnostics in clinical medicine and precision medicine.”
The Human Proteome Project (HPP) MS-Pillar Phosphopeptide challenge resource continues to collect new data and invites new participants to also contribute to this knowledgebase. Participants are invited to contribute to both phases of phosphopeptide identification methods development by analyzing a set of phosphopeptides by their favorite method and follow up with a method of affinity purification step using the popular ReSyn HUPO affinity kit to see improvements in their methods. Together with our partners, SynPeptide Co. Ltd in Shanghai (www.synpeptide.com) and Resyn Biosciences Pty Ltd in South Africa (www.resynbio.com), the HPP MS-Pillar will provide the SynPeptide-HUPO phosphopeptide mixtures as well as a comprehensive ReSyn phosphopeptide purification kit to use as the affinity method for the HUPO phosphopeptide mixtures. The SynPeptide phospho peptides and the Resyn MagReSyn® kit including the magnet separator are valued at over US$1000 each are provided free to all interested HUPO members.
The MS-Pillar Phosphopeptide challenge samples are a complex set of human phosphopeptides (Ser, Thr or Tyr) singly and multiply phosphorylated) and their unphosphorylated counterparts that can be used for method development and verification for phosphopeptide enrichment, sequence analysis by mass spectrometry and bioinformatic evaluation.
The first stage of this initiative is for interested members of the HUPO community to obtain a set of the peptides and apply their own methods and bioinformatic analysis to fully characterize the peptides as a neat mixture and in a tryptic digest background. Samples are still available by contacting the email below.
The second stage is now to compare your methods used with the Resyn purification kit for phospho-enrichment and peptide clean-up. The kit contains 2mL of each MagReSyn® Ti-IMAC, Zr-IMAC, and HILIC, and 4-place magnetic separator. As a result of this collaborative endeavor, multiple purification schemes, analytical protocols and data processing strategies will be evaluated, making it possible to determine the approach(es) that provide the highest coverage of phosphopeptides in the mixture.
By partnering with Resyn and SynPeptide, the HPP MS-pillar has combined the peptide sets and affinity purification kit free-of-charge to all HUPO members, with the understanding that the analytical and data processing methods and results will be returned to the HPP MS Resource Pillar committee, so they can be collated, combined with the HUPO 2018 data, and reported at the HUPO 2019 meeting.
The HUPO phosphopeptide mixtures Peptides and iMac kits can be picked up from SynPeptide and Resyn at their booth at HUPO 2018 Orlando.
The C-HPP has major scientific activities planned for the HUPO 2018 congress in Orlando (Florida, USA) between September 30 - October 3, 2018 as well with pre- and post-congress days organized on Sunday September 30 and Thursday, October 4. On pre-congress day, the C-HPP will participate in the HPP Investigators Program, with C-HPP activity overviews and reporting, discussion of C-HPP 2.0 plans and goals, discussion of collaboration with B/D-HPP and resource pillars, presentation of the current status of public proteomics databases and exploration of the “Dark Proteome”. During the congress, C-HPP will be actively involved in Bioinformatics Hub and we encourage members to attend the Morning parallel sessions (10:30-12:20) as follows “Partnering with Pathology Towards Precision Medicine” (Monday), “Metabolic Remodelling and Human Disease” (Tuesday), Human Chemosensation: Olfaction, Taste and Sight (Wednesday), and Afternoon parallel sessions (14:00-15:50): “Targeting the Proteome in Women's Health” (Monday), “Harnessing the Immune System to Fight Disease” (Tuesday), “Unravelling Tissue Pathology Through Cell Mapping” (Wednesday).
The Thursday HPP Day Post-Congress Program will consist of discussion of current (C-)HPP status and future goals such as new strategies to identify the difficult 10% remaining of the human proteome missing proteins, dynamic of protein interactions, identification and functional annotations of PTMs, translational Clinical Proteomics and use of emerging technologies such as CRISPR/Cas9 and proteogenomics data integration.
The congress program is available on the congress website here, as well as on the C-HPP Wiki here.
Sarah B. Scruggs, Jei Wang, Peipei Ping, UCLA David Geffen School of Medicine, Departments of Physiology, Medicine/Cardiology, and Computer Science, NIH BD2K Center of Excellence for Biomedical Computing at UCLA (HeartBD2K)
The Cardiovascular BD-HPP Initiative welcomes a new era of precision medicine that capitalizes on future-forward proteome technologies to identify cardiovascular disease mechanisms and therapeutic targets. Proteome signatures have gained recognition as the main driving force in cellular phenotypes, and several extraordinary and quantitative innovations can now elucidate these dynamic fingerprints at unprecedented speed, sensitivity, specificity and scale. Significant advancements that are forging new heights in proteomic analysis include new multiplexed mass spec sample preparation workflows and developments in novel, quantitative phospo- and splice variant proteoform resolution using top-down mass spec technologies.
New and exciting data from Ying Ge’s laboratory unveiled the complex proteoform profile of cardiac Troponin T (cTnT), a critical thin filament regulatory molecule of cardiac contraction/relaxation and clinical biomarker of myocardial infarction. Using online liquid chromatography and immunoaffinity purification coupled to high resolution top-down MS and several complementary fragmentation approaches (CAD, ECD, ETD), they were able to unequivocally identify seven unique cTnT splice variants, each in an unphosporylated or mono-phosphorylated form. This study represents the unprecedented power of top-down MS in isolating various intracellular proteoforms that likely elicit distinctive biological functions.
Exciting work by Jennifer van Eyk’s group includes the development of a streamlined, multiplexed workflow that enables the processing of 96 complex biological samples for MS in a matter of 5 hours. This methodology demonstrated remarkable reproducibility for both plasma and serum samples, showcasing CV’s less than 20% and holding up across replicates, days, instruments, and laboratory sites. Overall, this valuable approach will empower the proteomics community with tools to minimize artefactual introductions and enhance the native biological presentation of peptides during MS analysis. Moreover, we are seeing unparalleled developments in multiplexed, aptamer-based technologies which now target nearly 5000 proteins in biofluids. A collaborative study between Robert Gerszten and Lori Jenning’s groups demonstrated the application of this method to identify circulating biomarkers for myocardial infarction in derivation and validation patient cohorts, with orthogonal technical validation using targeted mass spectrometry
Computational innovations incorporating global proteome dynamics into data science platforms have emerged. The integration of transcript abundance, protein abundance, and protein turnover data and the extraction of multi-dimensional molecular signatures affords a 75% gain in discovering disease gene candidates. These recent developments in data science tools will facilitate protein marker discoveries, including clustering as well as signature extraction.
In summary, new technologies are paving the way to resolving comprehensive, spatio-temporal, dynamic maps of cardiovascular and other organelle proteomes that expand and articulate our understanding of how protein networks propel myriad phenotypes. Capitalizing on this knowledge to ultimately reduce the number of cardiovascular disease-related deaths is truly on the horizon.
Gilbert Omenn, University of Michigan, Michigan
The HUPO Human Proteome Project (HPP) annually reports on progress throughout the field in credibly identifying and characterizing the human protein parts list and making proteomics an integral part of multi-omics studies in medicine and the life sciences. neXtProt release 2018-01, the baseline for the 6th annual HPP special issue of the Journal of Proteome Research, contains 17,470 PE1 proteins, 89% of all neXtProt predicted PE1-4 proteins, up from 17,008 in release 2017-01 and 13,975 in release 2012-02. Conversely, the number of neXtProt PE2,3,4 missing proteins has been reduced from 2949 to 2579 to 2186 over the past two years. Of the PE1 proteins, 16,092 are based on mass spectrometry results, and 1378 on several other kinds of protein studies, notably enhanced by protein-protein interaction findings. PeptideAtlas has 15,798 canonical proteins, up 625 over the past year, including 269 from a major study of SUMOylation as a post-translational modification. The major limitations in finding expression of the remaining PE2,3,4 missing proteins continue to be protein sequences that cannot yield two proteotypic uniquely-mapping non-nested tryptic peptides of > 9 aa; lack of expression of the corresponding transcript in tissues studied; and especially concentrations of proteins too low to be detected even with the most modern mass spectrometers. Enrichment of low-abundance proteins, recognition of semi-tryptic peptides, and analysis of unusual tissues, especially with evidence of transcript expression, offer avenues to find more missing proteins.
Meanwhile, the Chromosome-centric HPP has launched an initiative to characterize the 1260 PE1 proteins that presently lack functional annotation. The HPP Mass Spectrometry resource pillar is conducting a multi-lab analysis of a standard sample with 96 phosphopeptides. The Human Protein Atlas has released its Cell Atlas, Pathology Atlas, and updated Tissue Atlas, and is applying recommendations from the International Working Group on Antibody Validation. A new resource pillar for Pathology to link with clinical translation has been launched. Finally, there is progress applying the quantitative multiplex organ-specific popular proteins targeted proteomics approach in various disease categories. For the full report, see Omenn, Lane, et al, JPR (in press) and reports from the B/D-HPP and C-HPP at www.hupo.org/hpp.
Péter Horvatovich, University of Groningen, Netherlands
The 19th C-HPP Symposium/workshop organized by Fernando J. Corrales, Concha Gil and Young-Ki Paik was held in conjunction with EuPA 2018 Congress with a scientific theme, “Translating Genome into Biological functions”. In this meeting, 13 Chromosome teams (Chr 2, 5, 6, 9, 11, 13, 14, 15, 16, 17, 18, X and Mt.) presented their work-in progress on missing protein identification and uPE1 (PE1 proteins of unknown function) characterization. Beside the talks mentioned in July 2018 C-HPP HUPOST, in the session of next-CP50 challenge, Gilberto B Domont presented latest data on brain proteomics of fetus bearing Congenital Zika Syndrome. Results indicate that lower expression of proteins compromises the vascular system and upper expression directs the cell machinery for virion production by enhancing neurogenesis, energy generation and protein synthesis. In the Young investigator session, Aida Pitarch from Complutense University (Madrid, Spain) presented a 2D gel-based proteomics approach to identify the molecular mechanisms of the human/host immune response induced by infection with Candida albicans. Juan Antonio Vizcaino, from the European Bioinformatics Institute (EBI) provided an update on ProteomeXchange and recent works done at EBI to reuse and integrate public proteomics data, focusing on multi-omics and proteogenomics data integration and multi-omics datasets available at the EBI data repositories. The talk presented ‘Novel ProBAM and ProBed formats facilitating proteogenomics data integration and the OmicsDI portal (http://www.omicsdi.org/)’ which collects multi-omics datasets. Peter Horvatovich from University of Groningen presented a study assessing the bias in proteomics sample preparation of head and neck tissues such as nasal polyps, parotid gland, and palatine tonsils using fours widely used sample preparation protocols (in-gel, in-solution, on-filter, and on-pellet digestion). The study was using MRM based targeted and DDA discovery LC-MS/MS proteomics profiling and concluded that there is no universal sample preparation protocol, which is best for all tissue with respect of relative losses and discovery potential. Charlotte Macron from Nestlé Institute of Health Sciences described identification of missing proteins such as protein dispatched homolog 3, Augurin, Erythroferrone, Protocaderins from cerebrospinal fluids of Alzheimer patients using deep proteomics and TMT labeling. Miguel Marcilla from Complutense University presented the identification of missing protein of Hyaluronan synthase 1 (HAS1) in Human Mesenchymal Stem Cells Derived from Adipose Tissue and Umbilical Cord using deep proteomics fractionation with SDS gel electrophoresis and basic reverse phase fractionation. Bioinformatics (e.g. text mining, online resource of orthologous genes) and wet lab workflows (e.g. gene silencing with siRNA and CRISPR-cas9) to find function for uPE1 proteins of chromosome 13 was presented by Seul-Ki Jeong (Yonsei Proteome Research Center). The complete program of the workshop with presented materials which we received consent from the authors is available at C-HPP Wiki.
Michelle Hill, QIMR Berghofer Medical Research Institute, and The University of Queensland, Australia
Do you wonder how proteomics contributes to understanding of biology or management of disease? Are you interested in contributing to a BD-HPP initiative but not sure how to start? With many options to choose, HUPO 2018 is a perfect time to get involved.
Click here to check out the enticing sample menu!
Note - There are subsidized fees of $60 for Sunday and $100 for Thursday to defray the extra costs of these activities on top of the Congress registration.
Etienne Caron, ZTH Zurich, Switzerland
The large collection of peptides associated to human leukocyte antigens (HLA) is referred to as the human immunopeptidome. Deciphering the composition of the human immunopeptidome is of paramount importance to understand the immune system and to guide the development of next-generation vaccines and immunotherapies against autoimmunity, infectious diseases and cancers. Until now, mass spectrometry (MS) is the only available technology to interrogate the immunopeptidome in an accurate, systematic and unbiased manner. Therefore, the development of advanced analytical MS workflows is of great importance to enable the deciphering of the immunopeptidome at increasing depth and robustness.
Foundation of the Human Immuno-Peptidome Project
The Human Immuno-Peptidome Project (HUPO-HIPP) was created to accelerate research toward robust and comprehensive analysis of immunopeptidomes (https://hupo.org/human-immuno-peptidome-project/). On May 4–5th, 2017, 40 leading scientists and industry representatives from 18 universities and 9 companies convened in Zurich, Switzerland, for the first international HUPO-HIPP workshop (see picture). During this event, participants identified specific challenges toward the goal of HUPO-HIPP, and within this framework, described the structure of a multipronged program aimed at addressing these challenges and implementing solutions at a community-wide level. The identified programs are: (1) method and technology development, (2) standardization, (3) effective data sharing, and (4) education (see details in Caron et al. Immunity, 2017)
1st HUPO-HIPP summer school: September 10-13 2018, Madrid, SpainMembers of HUPO-HIPP recognized that implementation of robust analytical workflows is a major hurdle to the expansion of the immunopeptidomics field. To circumvent this limitation and to disseminate the expertise on currently adopted methods by the immunopeptidomics community, the 1st HUPO-HIPP summer school was launched (http://www.hipp-summerschool.com/). Thus, the major goal of the summer school is to provide attendees with critical information about the main challenges of immunopeptidomics approaches with special emphasis on sample preparation, liquid chromatography-MS/MS analysis, bioinformatics and data sharing. Most importantly, the HUPO-HIPP summer school will contribute to boost the accessibility to immunopeptidomic technologies and to open this scientific niche to a bigger audience.
Next stepsHUPO-HIPP will soon publish the Minimal Information about an Immuno-Peptidomics Experiments (MIAIPE) to provide technical guidelines that represent the minimal information required to sufficiently support the evaluation and interpretation of immunopeptidomics experiments. HUPO-HIPP also plans to 1) establish partnerships with MS developers and other initiatives (e.g. Human Vaccines Project) to increase the impact of MS-based immunopeptidomics, 2) establish partnerships with journals’ editors and funding agencies (NIH and EC) to enforce sharing of immunopeptidomic data, 3) further develop the SysteMHC Atlas (https://systemhcatlas.org) for deposition and open sharing of immunopeptidomic datasets, 4) launch an international human immunopeptidome project consortium (HIPPC), and 5) continuously promote the visibility of HUPO-HIPP in publications, conferences, workshops and elsewhere. Progress and future plans will be discuss at HUPO-Orlando 2018.
If you would like to become a member of HUPO-HIPP complete the attached Membership Form and email to the address provided.
June 16-17, 2018
The 19th C-HPP Symposium/workshop organized by Fernando J. Corrales, Concha Gil and Young-Ki Paik was held in conjunction with the EuPA 2018 Congress with a scientific theme, “Translating Genome into Biological functions”. During this meeting, 13 Chromosome teams (Chr 2, 5, 6, 9, 11, 13, 14, 15, 16, 17, 18, X and Mt.) presented their progress on missing protein identification and uPE1 (PE1 proteins of unknown function) characterization. The workshop program started with an update of the Human Proteome Project (HPP Chair and Chr 17 PI, Gilbert Omenn), on neXt-CP50 initiative, (C-HPP Chair and Chr 13 PI, Young-Ki-Paik) and progress reports on each team according to neXt-MP50 teams, Bioinformatics teams, neXt-CP50 teams and Young Investigators. The final session was devoted to discussion on the C-HPP organization long-term plans.
Here are some highlights from the talks: Gilbert Omenn presented a new computational approach I-TASSER and COFACTOR algorithms to predict function of uPE1 proteins based on primary amino acid sequence. The talk presented predicted gene ontology-based functions of biological, molecular processes and cellular component of 66 uPE1 of Chromosome 17. A new challenge termed neXt-CP50, which aims to characterize at least 50 uPE1s in 3 years, and subsequent long-term plans with experimental strategies on uPE1s were presented and discussed by Young-Ki Paik. Jong Shin Yoo from chromosome 11 team presented and discussed a next generation proteomics pipeline to identify missing proteins (MPs) and protein sequence variants such alternative splicing and single amino acid variants in proteomics datasets. His group identified multiple MPs, splice junctions and single amino acid variant peptides in human brain tissue using deep proteomics and LC-MS/MS with ETD & CID fragmentation. Charles Pineau from chromosome 14 gave an update status on identification of missing proteins from human sperm and build of Human sperm proteome database in collaboration with MASSIVE. He also discussed the contribution of Epididymis proteome to the detection of MPs. Lydie Lane from chromosome 2 showed earlier uPE1 works on zebrafish and human cells. In particular she presented the characterization of enzymes such as APIP, involved in the methionine salvage pathway, mitochondrial proteins such as C11orf82, and developmental proteins such as C2orf62. Elena Ponomarenko and Ekaterina Ilgisonis from chromosome 18 team presented bioinformatics strategies including text mining in PubMed and protein-protein interaction (STRING) databases. Several options for reorganization of the C-HPP were presented and extensively discussed that included continuing a selected chromosome approach by only the currently active chromosome teams, plus the addition of new teams dedicated for bioinformatics/annotation teams, targeted MP stalking, identification of whole families of proteins in a chromosome agnostic manner and in protein – protein interaction data from large scale BioID and similar studies in human cells. The materials presented in this meeting will be available at C-HPP Wiki as soon as consent from the authors is received. More highlights from this meeting will also be presented in the C-HPP section of HUPOST in August 2018.
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