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UnknownQuantitative Temporal in Vivo Proteomics Deciphers the Transition of Virus-Driven Myeloid Cells into M2 Macrophages.
Not available
S-EPMC5648240 | biostudies-literature
UnknownQuantitative proteomic analysis deciphers mechanisms of sheath blight resistance in novel rice landrace against Rhizoctonia solani.
Not available
S-EPMC12318050 | biostudies-literature
ProteomicsAstral-DIA Proteomics Deciphers the Molecular Landscape of Human Spermatozoa: A Comprehensive Quantitative Proteomic Characterization of Sperm Function and Fertility Potential
Male infertility is fundamentally rooted in developmental defects of germ cells and associated molecular dysregulation, yet the underlying mechanisms remain poorly understood. Data-independent acquisition (DIA) has emerged as a powerful tool in discovery proteomics, enabling the identification of di...
ORGANISM(S): Homo sapiens (Human) 
2025-03-11 | PXD061698 | Pride
Astral-dia  proteomics deciphers  molecular landscape 
UnknownProteomics and metabolomics analyses of tobacco protoplasts under Cd stress.
Not available
S-EPMC12397952 | biostudies-literature
ProteomicsDeciphering functional tumor-immune crosstalk through highly multiplexed imaging and deep visual proteomics
Deciphering the intricate tumor-immune interactions within the microenvironment is crucial for advancing cancer immunotherapy. Here, we introduced mipDVP, an advanced approach integrating highly multiplexed imaging, single-cell laser microdissection, and sensitive mass spectrometry to spatially prof...
ORGANISM(S): Homo sapiens (Human) 
2024-12-19 | PXD057118 | Pride
Cancer Multiplex staining Mass spectrometry Deep visual proteomics Tumor microenvironment 
ProteomicsQuantitative Temporal in vivo Proteomics (QTiPs) deciphers the transition of inflammatory CD11b+,Ly6G-,Ly6Chigh myeloid cells into M2-like macrophages
Phenotypic transition of myeloid cells into distinct lineages in vivo is important in pathogen response. To monitor immune cell phenotype transitions in vivo, we developed a quantitative temporal in vivo proteomics (QTiPs) platform, performing multiplexed (10-plex) tandem-mass-tag (TMT)-based mass s...
ORGANISM(S): Mus musculus (Mouse) 
2017-08-09 | PXD005064 | Pride
Proteomics Myeloid cells M2-like macrophages Infection 
UnknownMachine learning-driven proteomics classifier deciphers tumor origins of primary and metastatic squamous cell carcinomas.
Not available
S-EPMC12809902 | biostudies-literature
ProteomicsUbiREAD deciphers proteasomal degradation code of homotypic and branched K48 and K63 ubiquitin chains
Ubiquitin chains encode signals defining the fates of their modified proteins. Ubiquitin chain-mediated proteasomal degradation is a widespread eukaryotic regulatory mechanism. Yet, heterogeneity of intracellular ubiquitination has precluded systematically comparing degradation capacities of differe...
ORGANISM(S): Homo sapiens (Human) 
2025-06-23 | PXD060731 | Pride
Ubiquitin K48 Deubiquitination K63 Protein degradation Proteasome Proteostasis Electroporation Ubiquitin code Branched ubiquitin chains 
ProteomicsNitrosoproteomic Analysis Deciphers the S-Nitrosylome in Carbon Metabolism of Tea Leaves
Cysteine S-nitrosylation is a reversible protein post-translational modification and critically regulates the activity, localization and stability of proteins. Tea (Camellia sinensis (L.)) is one of the most thoroughly studied evergreen crop due to its broad non-alcoholic beverage and huge economic ...
ORGANISM(S): Camellia sinensis 
2020-05-26 | PXD012443 | Pride
Cysteine s-nitrosylation Camellia sinensis (l.) o. kuntze Carbon metabolism 
UnknownHybrid-seq deciphers the complex transcriptional profile of the human BRCA1 DNA repair associated gene.
Not available
S-EPMC10243389 | biostudies-literature
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