#proteomic
Hi, R&D scientist focused on protein-ligand interactions in plants, insects, and parasites. My specialty is isolating materials from native sources and creating in vitro binding assays, leveraging simple bioinformatics on transcript and proteomic data to answer questions.
November 6, 2026 at 12:34 AM
Cell type-specific proteomic #Senescence signature in human plasma
#SenCat

Circulating SMC senescence signature has stronger associations with Hypertension, Diabetes, Kidney disease, BMI & Frailty than EC senescence signature

#CellRep 2026
www.sciencedirect.com/science/arti...
November 6, 2026 at 1:07 PM
Acetyl-Proteomic Characterization of MRSA in Interaction with C. butyricum Unveils ThrS Acetylation Enhancing Bacterial Stress Resistance
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t.co
November 7, 2026 at 9:05 AM
Use of Integrative Proteomic Analysis to Uncover Shared Molecular Signatures Across Distinct Forms of Hydrocephalus https://www.biorxiv.org/content/10.64898/2026.11.05.764703v1
November 6, 2026 at 7:15 AM
JD is as dishonest as TACO, but now has identified himself as a proteomic politician, unqualified for anything other than GOP supported larceny.
November 6, 2026 at 3:23 PM
Proteomic signatures of cold adaptation and sponge host adaptation in marine Archaea https://www.biorxiv.org/content/10.64898/2026.11.02.763592v1
November 5, 2026 at 3:26 AM
Reasonable to refer to this as "deep proteomic profiling"? Proteomes are composed of proteoforms which are mentioned once in the Discussion in the 'hopes' that eventually these can be addressed. Seriously? Let's consider more deeply what is posted & what it actually means rather than the NPG hype.
November 7, 2026 at 5:17 PM
This review categorizes current SASP detection methods across transcriptomic, proteomic, and spatial levels in cell models, tissues, and systemic biofluids. #SASP #Aging 🔬
www.mdpi.com/2227-9059/13...
November 6, 2026 at 7:43 AM
Proteomic signatures of cold adaptation and sponge host adaptation in marine Archaea https://www.biorxiv.org/content/10.64898/2026.11.02.763592v1
November 4, 2026 at 3:17 AM
✨Multi-omic Insights into Shared Signatures and Risk Prediction of Gout and Cardiometabolic Progression in Hyperuricemia – Le Yan

UK Biobank data; develop risk prediction models for gout and cardiometabolic diseases

#2026GCAN #ACR26
November 5, 2026 at 9:25 PM
Chronic Sleep Disruption Activates the Transcriptional Unfolded Protein Response and Induces Compartment-Specific Proteomic Changes in Mice https://www.biorxiv.org/content/10.64898/2026.11.03.763923v1
November 4, 2026 at 10:18 AM
UVC Irradiation Induces Time-Dependent Proteomic Remodeling in Geodermatophilus obscurus G20 https://www.biorxiv.org/content/10.64898/2026.11.04.764414v1
November 6, 2026 at 12:18 PM
UVC Irradiation Induces Time-Dependent Proteomic Remodeling in Geodermatophilus obscurus G20 https://www.biorxiv.org/content/10.64898/2026.11.04.764414v1
November 6, 2026 at 12:18 PM
PXD066424 🚨

Proteomic analysis of early-onset colorectal cancer biopsies using high-resolution label-free mass spectrometry.

🚨 New dataset alert! 🚨
November 7, 2026 at 3:00 PM
Comprehensive proteomic profiling reveals mRNA splicing suppression during human oocyte aging
link.springer.com/article/10.1...
Comprehensive proteomic profiling reveals mRNA splicing suppression during human oocyte aging - The EMBO Journal
Reproductive aging impairs female fertility, and oocyte aging is considered a major driver of this phenotype, which manifests with increased aneuploidy and miscarriage risk, while no effective treatme...
link.springer.com
November 2, 2026 at 8:23 PM
Acetyl-Proteomic Characterization of MRSA in Interaction with C. butyricum Unveils ThrS Acetylation Enhancing Bacterial Stress Resistance
Checking your browser - reCAPTCHA
t.co
November 7, 2026 at 1:34 AM
Acetyl-Proteomic Characterization of MRSA in Interaction with C. butyricum Unveils ThrS Acetylation Enhancing Bacterial Stress Resistance
Checking your browser - reCAPTCHA
t.co
November 6, 2026 at 7:42 PM
Use of Integrative Proteomic Analysis to Uncover Shared Molecular Signatures Across Distinct Forms of Hydrocephalus https://www.biorxiv.org/content/10.64898/2026.11.05.764703v1
November 6, 2026 at 7:15 AM
First day of the LRUA conference was inspiring.
Evan Eichler presented incredible results showing how SVs can contribute to far greater proteomic divergence. Arctic Charr, Herring, and the Tree of Life got much deserved attention, and Brynja Sigurpálsdóttir presented epigenetics at scale.
#LRUA26
November 3, 2026 at 8:07 AM
Proteomic analysis of dental enamel from 23 Homo naledi specimens reveals no male markers among at least 20 individuals, suggesting potential single-sex sampling. PMID:42341758, Cell 2026, @Cell https://www.cell.com/cell/fulltext/S0092-8674(26)00644-6 #Medsky #Pharmsky #RNA #ASHG #ESHG 🧪
https://www.cell.com/cell/fulltext/S0092-8674(26)00644-6
No description available
www.cell.com
November 8, 2026 at 9:00 AM
Use of Integrative Proteomic Analysis to Uncover Shared Molecular Signatures Across Distinct Forms of Hydrocephalus #NeuroDegeneration 🧪🧠
https://www.biorxiv.org/content/10.64898/2026.11.05.764703v1
November 6, 2026 at 8:01 AM
Proteomic signatures of cold adaptation and sponge host adaptation in marine Archaea | bioRxiv
Proteomic signatures of cold adaptation and sponge host adaptation in marine Archaea
Temperature shapes the biochemistry of microbial proteins, and several amino acid compositional indices have been proposed to detect cold adaptation in microbial proteomes. Whether these indices capture cold adaptation in Archaea, which are abundant in cold marine environments such as the Arctic Ocean, has not been tested. We calculated six amino acid compositional indices (arginine to lysine ratio, acidic residue proportion, aliphatic index, aromaticity, grand average of hydropathicity, and proline residue proportion) across global protein families for 142 Marine Group I (MG-I; Thaumarchaeota) and 146 Euryarchaeota genomes from the Bacterial and Viral Bioinformatics Resource Center (BV-BRC), together with three MG-I metagenome-assembled genomes (MAGs) recovered from the Western Arctic Ocean. The Arctic MAGs fell within the range of index and phylogenetic distances of the wider MG-I population, and no signature of cold adaptation was detected. Instead, index values differed between the two main MG-I phylogenetic groups and between freshwater and marine genomes, and the Euryarchaeota formed five index-based clusters consistent with phylogeny. A group of 19 MG-I MAGs associated with sea sponges had significantly higher arginine to lysine ratios than other MG-I, differed in the usage of all amino acids except alanine and lysine, and had distinct codon usage and higher GC content; their anomalous placement in the MG-I phylogeny is consistent with long-branch attraction. These results indicate that amino acid compositional indices developed for Bacteria have limited power to detect cold adaptation in Archaea, but reveal strong proteomic signatures associated with host adaptation in sponge-associated Thaumarchaeota. ### Competing Interest Statement The authors have declared no competing interest. Natural Sciences and Engineering Research Council, https://ror.org/01h531d29, RGPIN-2022-05280 Canada Research Chairs, https://ror.org/0517h6h17 Digital Research Alliance of Canada, https://ror.org/010r6td27
www.biorxiv.org
November 4, 2026 at 3:41 AM
This article is now available in Proteomes: Proteomic Analysis of Paraffin-Embedded Intestines from Schistosoma mansoni Infection in Mice: Highlighting Molecular Players During Acute Schistosomiasis 🧬🥼🔬🖥️🧪

www.mdpi.com/2227-7382/14...

#proteomes #proteomics #proteoforms
November 4, 2026 at 11:01 AM
Take your R skills to the next level with R for Biochemists 201. Explore proteomic data analysis, advanced visualisations, R Markdown and reproducible workflows. Registration closes 20 November at 17:00.

https://ow.ly/53iA5103EG9

#Bioinformatics #Proteomics #DataScience #Biochemistry
November 4, 2026 at 12:45 PM
(JASMS) Mass Spectrometry-Based
Multiomic Profiling Defines
Proteome, Lipidome, and Metabolome Remodeling in IFN-γ
and LPS-Stimulated BV-2 Microglial Cells: AbstractMicroglial inflammatory activation is accompanied by
extensive
molecular remodeling, yet proteomic, lipidomic, and… (RSS) #MassSpecRSS
Mass Spectrometry-Based Multiomic Profiling Defines Proteome, Lipidome, and Metabolome Remodeling in IFN-γ and LPS-Stimulated BV-2 Microglial Cells
AbstractMicroglial inflammatory activation is accompanied by extensive molecular remodeling, yet proteomic, lipidomic, and metabolomic responses are often analyzed independently. Here, we applied a mass spectrometry-based multiomic workflow to characterize proteomic, lipidomic, and polar metabolomic remodeling from matched biological replicates of immortalized murine BV-2 microglial cells following stimulation with interferon-γ (IFN-γ) and lipopolysaccharide (LPS). Pro-inflammatory activation was confirmed by increased nitrite accumulation, elevated TNF-α and IL-6 secretion, and treatment-associated morphological changes. Discovery proteomics quantified 8,676 proteins and identified 562 significantly altered proteins, including 344 increased and 218 decreased proteins. Increased proteins were enriched for interferon-responsive, innate immune, inflammatory effector, and antigen-associated pathways, whereas decreased proteins were associated with cellular organization, protein biogenesis, vesicular trafficking, and metabolic regulation. Targeted lipidomics identified 237 significantly altered lipids, including increased triacylglycerols and diacylglycerols and broad remodeling of glycerophospholipids, lysophospholipids, and sphingolipid-related species. Targeted polar metabolomics identified 75 significantly altered metabolites, including changes in nucleotide/NAD-related metabolism, amino acid metabolism, methylation-associated metabolites, acylcarnitine abundance, phospholipid precursors, polyamine metabolism, arginine/nitric oxide-associated metabolism, and redox-associated metabolites. Process-level integration of significant features revealed coordinated remodeling of inflammatory protein programs with lipid storage, membrane remodeling, nucleotide metabolism, amino acid availability, phospholipid precursor abundance, nitric oxide-associated metabolism, and redox/osmolyte pathways. These findings demonstrate that IFN-γ and LPS-induced activation of BV-2 cells involves complementary immune, lipid, and metabolic adaptation rather than isolated induction of canonical inflammatory mediators. This multiomic framework provides a resource for investigating how lipid and metabolic remodeling regulate microglial inflammatory states.
dlvr.it
November 6, 2026 at 11:10 PM