PubMed Health⌕ Search

Biomedical subjects

David Gomez-Varela

Publications and source records attributed to David Gomez-Varela.

3 recordsLinked to original sources

Integrating multi-omics technologies to decipher microbiome functions.

Multi-omics approaches have revolutionized our understanding of microbial communities by enabling simultaneous interrogation of genomic, transcriptomic, proteomic, and metabolomic data. The systematic integration and analysis of these deep datasets help decipher the functional roles of microbiomes, providing critical insights into microbial activities, interactions, and dynamics across diverse environments. Biological complexity makes multi-omics analysis of a single, isolated organism demanding but highly informative, yet this complexity increases further when samples comprise hundreds to thousands of individual species. As microbiome research continues to expand into clinical, environmental, and engineered systems, standardized workflows, benchmarked datasets, and community-driven initiatives are essential to ensure reproducibility, standardization and interpretability. Establishing and disseminating best practices for experimental design, data processing, and integrative analyses will be critical for maximizing comparability and scientific rigor across studies. This perspective highlights recent advances in multi-omics microbiome research, outlines key obstacles in data integration and metadata harmonization, and proposes a collaborative roadmap for scalable, FAIR-compliant multi-omics investigations and potentially disruptive Artificial Intelligence (AI) advances comparable to those of AlphaFold in the field of microbiome science.

Multiomics↗

Multi-omic integration with human dorsal root ganglia proteomics highlights TNFα signalling as a relevant sexually dimorphic pathway.

The peripheral nervous system (PNS) plays a critical role in pathological conditions, including chronic pain disorders, that manifest differently in men and women. To investigate this sexual dimorphism at the molecular level, we integrated quantitative proteomic profiling of human dorsal root ganglia (hDRG) and peripheral nerve tissue into the expanding omics framework of the PNS. Using data-independent acquisition (DIA) mass spectrometry, we characterized a comprehensive proteomic profile, validating tissue-specific differences between the hDRG and peripheral nerve. Through multi-omic analyses and in vitro functional assays, we identified sex-specific molecular differences, with TNFα signalling emerging as a key sexually dimorphic pathway with higher prominence in men. Genetic evidence from genome-wide association studies further supports the functional relevance of TNFα signalling in the periphery, while clinical trial data and meta-analyses indicate a sex-dependent response to TNFα inhibitors. Collectively, these findings underscore a functionally sexual dimorphism in the PNS, with direct implications for sensory and pain-related clinical translation.

Humans↗

Protein kinase C is necessary for recovery from the thyrotropin-releasing hormone-induced r-ERG current reduction in GH3 rat anterior pituitary cells.

The biochemical cascade linking activation of phospholipase C-coupled thyrotropin-releasing hormone (TRH) receptors to rat ERG (r-ERG) channel modulation was studied in situ using perforated-patch clamped adenohypophysial GH3 cells and pharmacological inhibitors. To check the recent suggestion that Rho kinase is involved in the TRH-induced r-ERG current suppression, the hormonal effects were studied in cells pretreated with the Rho kinase inhibitors Y-27632 and HA-1077. The TRH-induced r-ERG inhibition was not significantly modified in the presence of the inhibitors. Surprisingly, the hormonal effects became irreversible in the presence of HA-1077 but not in the presence of the more potent Rho kinase inhibitor Y-27632. Further experiments indicated that the effect of HA-1077 correlated with its ability to inhibit protein kinase C (PKC). The hormonal effects also became irreversible in cells in which PKC activity was selectively impaired with GF109203X, Gö6976 or long-term incubation with phorbol esters. Furthermore, the reversal of the effects of TRH, but not its ability to suppress r-ERG currents, was blocked if diacylglycerol generation was prevented by blocking phospholipase C activity with U-73122. Our results suggest that a pathway involving an as yet unidentified protein kinase is the main cause of r-ERG inhibition in perforated-patch clamped GH3 cells. Furthermore, they demonstrate that although not necessary to trigger the ERG current reductions induced by TRH, an intracellular signal cascade involving phosphatidylinositol-4,5-bisphosphate hydrolysis by phospholipase C, activation of an alpha/betaII conventional PKC and one or more dephosphorylation steps catalysed by protein phosphatase 2A, mediates recovery of ERG currents following TRH withdrawal.

1-(5-Isoquinolinesulfonyl)-2-Methylpiperazine↗