Secretome GIV Proteomic data \set
Ontology highlight
ABSTRACT:
INSTRUMENT(S):
ORGANISM(S): Grouper Iridovirus
TISSUE(S): Fibroblast
SUBMITTER: 
Aurelien CHUARD
LAB HEAD: Emrah Altindis
PROVIDER: PXD065765 | Pride | 2025-07-22
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 110180_116409.mzid | Mzid | |||
| 110181_116410.mzid | Mzid | |||
| 110376_116627.mzid | Mzid | |||
| 116409.raw | Raw | |||
| 116409_sequest.params | Other |
Items per page: 5 1 - 5 of 9 |
Similar Datasets
Project description:To identify potential cofactors of HOXB13 in suppressing lipogenic programs in prostate cancer cells, we performed tandem affinity purification followed by mass spectrometry analysis of WT and G84E HOXB13 expressed in LNCaP cells. Out of the HOXB13-enriched proteins are previously reported interactors such as AR and its cofactors FOXA1, GATA2, and NKX3. However, these interactions were not disrupted by G84E as compared to WT HOXB13. Interestingly, we found strong interactions of HOXB13 with HDAC1/3 and their corepressors NCoR1/2 and TBL1X. Notably, these interactions were drastically reduced by G84E mutation.
2023-03-11 | PXD030810 | Pride
Project description:The architecture of chromatin specifies eukaryotic cell identity by controlling transcription factor access to sites of gene regulation. Here we describe a dual transposase/peroxidase approach, integrative DNA And Protein Tagging (iDAPT), which detects both DNA (iDAPT-seq) and protein (iDAPT-MS) associated with accessible regions of chromatin. In addition to direct identification of bound transcription factors, iDAPT enables the inference of their gene regulatory networks, protein interactors, and regulation of chromatin accessibility. We applied iDAPT to profile the epigenomic consequences of granulocytic differentiation of acute promyelocytic leukemia, yielding previously undescribed mechanistic insights with potential therapeutic implications. Our findings demonstrate the power of iDAPT as a discovery platform for both the dynamic epigenomic landscapes and their transcription factor components associated with biological phenomena and disease.
2020-11-02 | PXD022252 | Pride
Project description:The Ubiquitin Proteasome System (UPS) governs numerous cellular processes by modulating protein stability and activity via the conjugation of the small molecule ubiquitin, either as a single chain or as linkages with distinct functions. Dysregulation of the UPS has been associated with many diseases, including neurodegenerative and neurodevelopmental diseases, as well as cancer. Ubiquitin conjugating enzymes (E2s) are important players of the UPS which work together with ubiquitin ligases (E3s) to promote substrate ubiquitylation. In this study, we conduct a comparative proteome-wide abundance profiling of S. cerevisiae cells during exponential growth phase with and without heat shock treatment. We focus on cells with deletions of the two highly homologous E2s, UBC4 or UBC5, and use isobaric tag-based quantitative mass spectrometry to elucidate variations and similarities in their proteome profiles. Our analysis revealed that Ubc4 has a much stronger effect on the proteome compared to Ubc5, particularly in exponentially growing cells. In contrast, the effect of Ubc5 on the proteome only becomes evident after heat shock, and even then, it remains minor compared to Ubc4. Furthermore, we identified proteins increasing in absence of each enzyme, which may represent their candidate substrates, potentially contributing to a better understanding of their cellular role.
2024-10-18 | PXD056103 | Pride
Project description:The development of the TMTpro-16plex series expanded the breadth of commercial isobaric tagging reagents by nearly 50% over classic TMT-11plex. In addition to the described 16plex reagents, the proline-based TMTpro molecule can accommodate two additional combinations of heavy carbon and nitrogen isotopes. Here, we introduce the final two labeling reagents, TMTpro-134C and TMTpro-135N, which permit the simultaneous global protein profiling of 18 samples with no missing values. For example, six conditions with three biological replicates can now be perfectly accommodated. We showcase the 18plex reagent set by profiling the proteome and phosphoproteome of a pair of isogenic breast cancer cell lines under three conditions in triplicate. We compare the depth and quantitative performance of this dataset with a TMTpro-16plex experiment in which two samples were omitted. Our analysis revealed similar numbers of quantified peptides and proteins, with high quantitative correlation. We interrogated further the TMTpro-18plex dataset by highlighting changes in protein abundance profiles under different conditions in the isogenic cell lines. We conclude that TMTpro-18plex further expands the sample multiplexing landscape, allowing for complex and innovative experimental designs.
2021-04-28 | PXD024275 | Pride
Project description:The thermal shift assay is a robust method of discovering protein-ligand interactions by measuring the alterations in protein thermal stability under various conditions. Several thermal shift assays have been developed and their throughput has been advanced greatly by the rapid progress in tandem mass tag-based quantitative proteomics. A recent paper by Gaetani et al. (J Proteome Res 2019, 18 (11), 4027-4037) introduced proteome integral solubility alteration (PISA) assay, further increasing throughput and simplifying the data analysis. Yet, it remains unclear how fold changes (integral treated samples versus integral control samples) perform in this assay. We show that fold changes have compromised linearity with ΔTm (shift in melting points) by simulation, and the magnitudes of the fold changes are inherently small in PISA assay, which is a challenge for quantitation. Both simulation and experimental results show that the selection of heating temperatures can tackle the small fold change problem and improve the sensitivity and specificity of the PISA assay.
2020-04-06 | PXD017346 | Pride
Project description:Human cytomegalovirus (HCMV) is an important pathogen that extensively modulates host cells, downregulating >900 human proteins over the course of viral replication and degrading ≥133 proteins shortly after infection. The mechanism of degradation of most host proteins remains unresolved, and the functions of many viral proteins are incompletely characterised. We performed a systematic interactome analysis of 169 canonical HCMV proteins, and a subset of non-canonical HCMV proteins, in infected cells. This identified an extensive network of >3,400 virus-host and >150 virus-virus protein interactions, providing insights into novel functions for multiple viral genes. Domain analysis predicted binding of the viral UL25 protein to the SH3 domains of NCK Adaptor Protein 1. Viral interacting proteins were identified for 31/133 degraded host targets. Finally, the uncharacterised, non-canonical ORFL147C protein was found to interact with elements of the mRNA splicing machinery, and a mutational study suggested its importance in viral replication. The interactome data will be important for future studies of herpesvirus infection.
2020-01-22 | PXD014845 | Pride
Project description:Yeast (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.st (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.
2015-06-20 | PXD002093 | Pride
Project description:Yeast (Saccharomyces cerevisiae) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct types of proteins such as those of glyoxylate metabolism and many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course experiment to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.
2015-06-20 | PXD002092 | Pride
Project description:Yeast (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.st (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.
2015-06-20 | PXD001334 | Pride
Project description:Cannabis has been used throughout history for medicinal and recreational purposes. The most notable cannabinoids derived from these plants are cannabidiol (CBD) and tetrahydrocannabinol (THC). Although well studied for their therapeutic effects, and highly debated concerning their recreational use, the underlying mechanisms of their biological effects are poorly defined. Here we used isobaric tag-based sample multiplexed proteome profiling to investigate protein abundance differences in the human neuroblastoma SH-SY5Y cell line treated with CBD and THC. We highlighted significantly regulated proteins by each treatment and performed pathway classification and associated protein-protein interaction analysis. Our data suggest that these treatments may result in mitochondrial dysfunction and induce endoplasmic reticulum stress. This dataset can be mined further to investigate the potential role of CBD and THC in various biological and disease contexts and thus provide a foundation for future studies.
2023-12-28 | PXD038121 | Pride