Publications by authors named "Lydie Lane"

Article Synopsis
  • The Human Proteome Project (HPP) aims to identify every protein-coding gene’s isoform and integrate proteomics into studies of human health and disease.
  • Major updates include the retirement of neXtProt as the knowledge base, with UniProtKB now serving as the reference proteome, and GENCODE providing the target protein list.
  • Recent data shows that 93% of protein-coding genes have been expressed, leaving 1,273 non-expressed proteins, along with the introduction of a new scoring system for functional annotation of proteins.
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We present a drug design strategy based on structural knowledge of protein-protein interfaces selected through virus-host coevolution and translated into highly potential small molecules. This approach is grounded on Vinland, the most comprehensive atlas of virus-human protein-protein interactions with annotation of interacting domains. From this inspiration, we identified small viral protein domains responsible for interaction with human proteins.

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Article Synopsis
  • The Human Proteome Project (HPP), launched in 2010 by the Human Proteome Organization (HUPO), aims to identify all human proteins and integrate proteomics into studies of health and disease.
  • As of April 2023, 93% of predicted proteins from the human genome have been detected, demonstrating significant advancements in the creation of a comprehensive protein parts list.
  • The project is now transitioning to a Grand Challenge Project that focuses on understanding the functions of these proteins and their roles within biological networks and pathways.
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The Chromosome-centric Human Proteome Project (C-HPP) aims at identifying the proteins as gene products encoded by the human genome, characterizing their isoforms and functions. The existence of products has now been confirmed for 93.2% of the genes at the protein level.

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The 2022 Metrics of the Human Proteome from the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 407 (93.2%) of the 19 750 predicted proteins coded in the human genome, a net gain of 50 since 2021 from data sets generated around the world and reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 78 from 1421 to 1343.

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The 2021 Metrics of the HUPO Human Proteome Project (HPP) show that protein expression has now been credibly detected (neXtProt PE1 level) for 18 357 (92.8%) of the 19 778 predicted proteins coded in the human genome, a gain of 483 since 2020 from reports throughout the world reanalyzed by the HPP. Conversely, the number of neXtProt PE2, PE3, and PE4 missing proteins has been reduced by 478 to 1421.

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About 10% of human proteins have no annotated function in protein knowledge bases. A workflow to generate hypotheses for the function of these uncharacterized proteins has been developed, based on predicted and experimental information on protein properties, interactions, tissular expression, subcellular localization, conservation in other organisms, as well as phenotypic data in mutant model organisms. This workflow has been applied to seven uncharacterized human proteins (C6orf118, C7orf25, CXorf58, RSRP1, SMLR1, TMEM53 and TMEM232) in the frame of a course-based undergraduate research experience named Functionathon organized at the University of Geneva to teach undergraduate students how to use biological databases and bioinformatics tools and interpret the results.

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Neuropathological diseases of the central nervous system (CNS) are frequently associated with impaired differentiation of the oligodendroglial cell lineage and subsequent alterations in white matter structure and dynamics. Down syndrome (DS), or trisomy 21, is the most common genetic cause for cognitive impairments and intellectual disability (ID) and is associated with a reduction in the number of neurons and oligodendrocytes, as well as with hypomyelination and astrogliosis. Recent studies mainly focused on neuronal development in DS and underestimated the role of glial cells as pathogenic players.

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Article Synopsis
  • The Human Proteome Organization (HUPO) initiated the Human Proteome Project (HPP) in 2010 to promote global cooperation in studying the human proteome, focusing on data sharing and quality assurance.
  • Over the past decade, the HPP has built partnerships, set guidelines, and reanalyzed existing data to enhance our understanding of the human proteome.
  • Celebrating its tenth anniversary, the HPP has reported a comprehensive 90.4% high-stringency human proteome blueprint, which is crucial for advancing knowledge in health and disease, particularly in areas like cancer and cardiovascular conditions.
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In the context of the Human Proteome Project, we built an inventory of 412 functionally unannotated human proteins for which experimental evidence at the protein level exists (uPE1) and which are highly expressed in tissues involved in human male reproduction. We implemented a strategy combining literature mining, bioinformatics tools to collate annotation and experimental information from specific molecular public resources, and efficient visualization tools to put these unknown proteins into their biological context (protein complexes, tissue and subcellular location, expression pattern). The gathered knowledge allowed pinpointing five uPE1 for which a function has recently been proposed and which should be updated in protein knowledge bases.

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Article Synopsis
  • - The HUPO Human Proteome Project (HPP) has successfully identified protein-level expression for over 90% of the proteins predicted to be coded by the human genome, enhancing the understanding of the human protein landscape.
  • - NeXtProt’s 2020 release shows an increase in proteins classified as having strong evidence (PE1) and a decrease in "missing proteins," indicating ongoing progress in protein identification.
  • - Collaborative efforts from various research teams aim to uncover disease-related proteins and their functions, while the Human Protein Atlas has published detailed maps of blood, brain, and metabolic proteins.
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The emergence of small open reading frame (sORF)-encoded peptides (SEPs) is rapidly expanding the known proteome at the lower end of the size distribution. Here, we show that the mitochondrial proteome, particularly the respiratory chain, is enriched for small proteins. Using a prediction and validation pipeline for SEPs, we report the discovery of 16 endogenous nuclear encoded, mitochondrial-localized SEPs (mito-SEPs).

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Article Synopsis
  • The neXtProt knowledgebase is a comprehensive resource for human protein data, which includes new datasets on expression, function, interactions, and modifications.
  • Recent updates include tools for proteomics, such as a peptide uniqueness checker and a protein digestion tool to identify trypsin-resistant proteins.
  • Usability improvements were made to the web interface and API, along with enhanced data accessibility through various platforms, now under a CC BY 4.0 license to encourage data reuse.
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The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year.

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Article Synopsis
  • In 2018, a hybrid pipeline combining I-TASSER for protein structure prediction and COFACTOR for function prediction was introduced, achieving high accuracy in Gene Ontology (GO) predictions for 100 proteins.
  • In a follow-up study for the CAFA3 challenge, predictions on newly annotated human proteins yielded varying accuracy rates on proteins with "No Knowledge" and "Limited Knowledge" statuses, demonstrating COFACTOR's performance over simple homology-based methods while still relying on template availability.
  • The neXtProt database now features links to I-TASSER/COFACTOR predictions for proteins lacking function annotations, supporting researchers in experimental planning for proteins whose functions are not well defined.
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Using neXtProt release 2019-01-11, we manually curated a list of 1837 functionally uncharacterized human proteins. Using OrthoList 2, we found that 270 of them have homologues in , including 60 with a one-to-one orthology relationship. According to annotations extracted from WormBase, the vast majority of these 60 worm genes have RNAi experimental data or mutant alleles, but manual inspection shows that only 15% have phenotypes that could be interpreted in terms of a specific function.

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The Human Proteome Project (HPP) annually reports on progress made throughout the field in credibly identifying and characterizing the complete human protein parts list and making proteomics an integral part of multiomics studies in medicine and the life sciences. NeXtProt release 2019-01-11 contains 17 694 proteins with strong protein-level evidence (PE1), compliant with HPP Guidelines for Interpretation of MS Data v2.1; these represent 89% of all 19 823 neXtProt predicted coding genes (all PE1,2,3,4 proteins), up from 17 470 one year earlier.

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Mass-spectrometry-based proteomics enables the high-throughput identification and quantification of proteins, including sequence variants and post-translational modifications (PTMs) in biological samples. However, most workflows require that such variations be included in the search space used to analyze the data, and doing so remains challenging with most analysis tools. In order to facilitate the search for known sequence variants and PTMs, the Proteomics Standards Initiative (PSI) has designed and implemented the PSI extended FASTA format (PEFF).

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Article Synopsis
  • The Human Proteome Organization's Chromosome-centric Human Proteome Project aims to accurately identify all canonical proteins encoded by the human genome and track their functional characteristics through protein evidence levels in databases like neXtProt.
  • Since 2012, the number of proteins lacking clear identification—termed missing proteins (MPs)—has significantly decreased, but a substantial number remain functionally uncharacterized, known as "dark proteins."
  • The C-HPP launched the uPE1 pilot initiative to functionally characterize 50 of these dark proteins (uPE1) through collaborative efforts of international research teams, with the intention of developing validated workflows for the larger research community within three years.
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Because of the pivotal role of mitochondrial alterations in several diseases, the Human Proteome Organization (HUPO) has promoted in recent years an initiative to characterize the mitochondrial human proteome, the mitochondrial human proteome project (mt-HPP). Here we generated an updated version of the functional mitochondrial human proteome network, made by nodes (mitochondrial proteins) and edges (gold binary interactions), using data retrieved from neXtProt, the reference database for HPP metrics. The principal new concept suggested was the consideration of mitochondria-associated proteins (first interactors), which may influence mitochondrial functions.

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20,230 protein-coding genes have been predicted from the analysis of the human genome (neXtProt release 2018-01-17), and about 10% of them are still lacking functional annotation, either predicted by bioinformatics tools or captured from experimental reports. A systematic exploration of the available literature on uncharacterized human genes/proteins led to proposal of functional annotations for 113 proteins and to consolidation of a list of 1,862 uncharacterized human proteins. The advanced search functionality of neXtProt was used extensively in order to examine the landscape of the uncharacterized human proteome in terms of subcellular locations, protein-protein interactions, tissue expression, association with diseases, and 3D structure.

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