Disentangling plant response to biotic and abiotic stress using HIVE, a novel tool to perform unpaired multi-transcriptomics integration DOI Creative Commons

Giulia Calia,

Sophia Marguerit,

Ana Paula Zotta Mota

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 5, 2024

Abstract All organisms are subjected to multiple stresses usually occurring at the same time, requiring activation of appropriate signalling pathways respond all or by prioritizing response one stress factor. Plants, as sessile organisms, particularly impacted constantly changing environment that is often unfavourable even hostile. Because experimental complexity studying organism stressors simultaneously, experiments conducted considering individual factor time. An alternative consists in performing silico integration those data on single response. Currently used methods integrate unpaired consist meta-analysis finding differentially expressed genes for each condition separately and then selecting commonly regulated ones. Although these approaches allowed find valuable results, they mainly identify specific signatures very few signature responding lack modulated differently condition. For this purpose, we developed HIVE (Horizontal Integration analysis using Variational AutoEncoders) single-stress transcriptomics datasets composed experiments. Briefly, coupled a variational autoencoder, alleviates batch effects, with random forest regression SHAP explainer select relevant specifically stresses. We illustrate functionality study transcriptional changes several different plants namely Arabidopsis thaliana , rice, maize, wheat, grapevine peanut collecting publicly available stress, either biotic and/or abiotic, jointly analyse them. performed better than differential expression analysis, state-of-the-art tool horizontal allowing novel promising candidates responsible triggering effective defence responses

Language: Английский

Hypertension and Dyslipidemia: the Two Partners in Endothelium-Related Crime DOI Creative Commons
Edyta Dąbrowska, Krzysztof Narkiewicz

Current Atherosclerosis Reports, Journal Year: 2023, Volume and Issue: 25(9), P. 605 - 612

Published: Aug. 18, 2023

Abstract Purpose of Review The goal this article is to characterize the endothelium’s role in development hypertension and dyslipidemia point out promising therapeutic directions. Recent Findings Dyslipidemia may facilitate hypertension, whereas collaboration these two silent killers potentiates risk atherosclerosis. common pathophysiological denominator for endothelial cell dysfunction, which manifests as dysregulation homeostasis, redox balance, vascular tone, inflammation, thrombosis. Treatment focused on mediators acting processes might be groundbreaking. Metabolomic research has revealed new targets. State-of-the-art solutions integrating interview, clinical examination, innovative imaging, omics profiles along with artificial intelligence have been already shown improve patients’ stratification treatment. Summary Pathomechanisms underlying take place endothelium. Novel approaches involving biomarkers bioinformatics advances could open perspectives patient management.

Language: Английский

Citations

29

Applications of multi-omics techniques to unravel the fermentation process and the flavor formation mechanism in fermented foods DOI

Linfeng Wen,

Lixin Yang, Cong Chen

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2023, Volume and Issue: 64(23), P. 8367 - 8383

Published: April 17, 2023

Fermented foods are important components of the human diet. There is increasing awareness abundant nutritional and functional properties present in fermented that arise from transformation substrates by microbial communities. Thus, it significant to unravel communities mechanisms characteristic flavor formation occurring during fermentation. has been rapid development high-throughput other omics technologies, such as metaproteomics metabolomics, a result, there growing recognition importance integrating these approaches. The successful applications multi-omics approaches bioinformatics analyses have provided solid foundation for exploring fermentation process. Compared with single-omics, more accurately delineate molecular features, thus they apt reveal This review introduces an overview single-omics technologies - including metagenomics, metatranscriptomics, metaproteomics, metabolomics. We also discuss integrated bioinformatic their role recent research progress related foods, well summarize main potential pathways involved certain foods. In future, multilayered data should be conducted enable better understanding

Language: Английский

Citations

28

Multiomics insights into the female reproductive aging DOI Creative Commons

Simin Wei,

Weicheng Tang, Dan Chen

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 95, P. 102245 - 102245

Published: Feb. 23, 2024

The human female reproductive lifespan significantly diminishes with age, leading to decreased fertility, reduced fertility quality and endocrine function disorders. While many aspects of aging in general have been extensively documented, the precise mechanisms governing programmed system remain elusive. Recent advancements omics technologies computational capabilities facilitated emergence multiomics deep phenotyping. Through application refinement various high-throughput methods, a substantial volume data has generated, deepening our comprehension pathogenesis molecular underpinnings aging. This review highlights current emerging approaches for investigating aging, encompassing genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics. We elucidate their influence on fundamental cell biology translational research context address limitations challenges associated studies, offer glimpse into future prospects.

Language: Английский

Citations

10

Progress in toxicogenomics to protect human health DOI
Matthew J. Meier, Joshua Harrill, Kamin J. Johnson

et al.

Nature Reviews Genetics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Language: Английский

Citations

10

nipalsMCIA: Flexible Multi-Block Dimensionality Reduction in R via Nonlinear Iterative Partial Least Squares DOI Creative Commons

Max Mattessich,

Joaquin Reyna, E Aron

et al.

Bioinformatics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Abstract Summary With the increased reliance on multi-omics data for bulk and single cell analyses, availability of robust approaches to perform unsupervised learning clustering, visualization, feature selection is imperative. We introduce nipalsMCIA, an implementation multiple co-inertia analysis (MCIA) joint dimensionality reduction that solves objective function using extension Non-linear Iterative Partial Least Squares (NIPALS). applied nipalsMCIA both datasets observed significant speed-up over other implementations with a large sample size and/or dimension. Availability Implementation available as Bioconductor package at https://bioconductor.org/packages/release/bioc/html/nipalsMCIA.html, includes detailed documentation application vignettes. Supplementary Materials are online.

Language: Английский

Citations

1

Correlation between SMADs and Colorectal Cancer Expression, Prognosis, and Immune Infiltrates DOI Creative Commons
Ning Ding, Hongbiao Luo, Tao Zhang

et al.

International Journal of Analytical Chemistry, Journal Year: 2023, Volume and Issue: 2023, P. 1 - 13

Published: March 8, 2023

Background. In recent years, the incidence and mortality of colorectal cancer (CRC) are increasing, 5-year survival rate advanced metastatic CRC is poor. Small mothers against decapentaplegic (SMAD) superfamily intracellular signal transduction proteins associated with development prognosis a variety tumors. At present, no study has systematically analysed relationship between SMADs CRC. Methods. Here, R3.6.3 was used to analyse expression in pan-cancer Protein were by Human Atlas (HPA). Gene profiling interactive analysis (GEPIA) evaluate correlation tumor stage The effect R language GEPIA on analysed. Mutation rates determined cBioPortal, potentially related genes predicted using GeneMANIA. correlate immune cell infiltration Results. Both SMAD1 SMAD2 found be weakly expressed correlated invasion level. patient prognosis, stage. SMAD3, SMAD4, SMAD7 all at low levels cells. SMAD3 SMAD4 also levels, had highest mutation rate. SMAD5 SMAD6 overexpressed CRC, overall (OS) CD8+ T cells, macrophages, neutrophils. Conclusions. Our results reveal innovative strong evidence that can as biomarkers for treatment

Language: Английский

Citations

12

Transcriptomics and epigenetic data integration learning module on Google Cloud DOI Creative Commons
Nathan A. Ruprecht,

Joshua D Kennedy,

Benu Bansal

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 25(Supplement_1)

Published: July 1, 2024

Abstract Multi-omics (genomics, transcriptomics, epigenomics, proteomics, metabolomics, etc.) research approaches are vital for understanding the hierarchical complexity of human biology and have proven to be extremely valuable in cancer precision medicine. Emerging scientific advances recent years made high-throughput genome-wide sequencing a central focus molecular by allowing collective analysis various kinds biological data from different types specimens single tissue or even at level cell. Additionally, with help improved computational resources mining, researchers able integrate multi-omics regimes identify new prognostic, diagnostic, predictive biomarkers, uncover novel therapeutic targets, develop more personalized treatment protocols patients. For community parse scientifically clinically meaningful information out all being generated each day efficiently less wasted resources, familiar comfortable using advanced analytical tools, such as Google Cloud Platform becomes imperative. This project is an interdisciplinary, cross-organizational effort provide guided learning module integrating transcriptomics epigenetics into comprehensive pipeline users implement their own work, utilizing cloud computing infrastructure on Cloud. The consists three submodules that guide user through tutorial examples illustrate RNA-sequence Reduced-Representation Bisulfite Sequencing data. form breast case studies, sets were procured public repository Gene Expression Omnibus. first submodule devoted RNA data, second focuses DNA methylation third integrates two methods deeper understanding. modules begin collection preprocessing, further downstream performed Vertex AI Jupyter notebook instance R kernel. Analysis results returned buckets storage visualization, removing strain local resources. final product start-to-finish limited experience perform research. manuscript describes development resource part platform named ``NIGMS Sandbox Cloud-based Learning'' https://github.com/NIGMS/NIGMS-Sandbox. overall genesis described editorial NIGMS [16] beginning this Supplement. delivers materials bulk single-cell ATAC-seq interactive format uses appropriate access analyses. Highlights

Language: Английский

Citations

4

From Genomics to Metabolomics: Molecular Insights into Osteoporosis for Enhanced Diagnostic and Therapeutic Approaches DOI Creative Commons
Qingmei Li, Jihan Wang,

Congzhe Zhao

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(10), P. 2389 - 2389

Published: Oct. 18, 2024

Osteoporosis (OP) is a prevalent skeletal disorder characterized by decreased bone mineral density (BMD) and increased fracture risk. The advancements in omics technologies—genomics, transcriptomics, proteomics, metabolomics—have provided significant insights into the molecular mechanisms driving OP. These technologies offer critical perspectives on genetic predispositions, gene expression regulation, protein signatures, metabolic alterations, enabling identification of novel biomarkers for diagnosis therapeutic targets. This review underscores potential these multi-omics approaches to bridge gap between basic research clinical applications, paving way precision medicine OP management. By integrating technologies, researchers can contribute improved diagnostics, preventative strategies, treatments patients suffering from related conditions.

Language: Английский

Citations

4

Genetic and Epigenetic Intersections in COVID-19-Associated Cardiovascular Disease: Emerging Insights and Future Directions DOI Creative Commons
Hussein Sabit, Borros Arneth, Afaf Altrawy

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(2), P. 485 - 485

Published: Feb. 16, 2025

The intersection of COVID-19 and cardiovascular disease (CVD) has emerged as a significant area research, particularly in understanding the impact antiplatelet therapies like ticagrelor clopidogrel. been associated with acute complications, including myocardial infarction, thrombosis, heart failure, exacerbated by virus's ability to trigger widespread inflammation endothelial dysfunction. MicroRNAs (miRNAs) play critical role regulating these processes modulating gene expressions involved platelet function, inflammation, vascular homeostasis. This study explores potential miRNAs such miR-223 miR-126 biomarkers for predicting resistance or responsiveness patients disease. Identifying miRNA signatures linked drug efficacy could optimize treatment strategies at high risk thrombotic events during infection. Moreover, miRNA-mediated pathways offers new insights into how SARS-CoV-2 exacerbates CVD, through mechanisms cytokine storms damage. findings this research lead personalized therapeutic approaches, improving patient outcomes reducing mortality COVID-19-associated events. With global implications, addresses urgent need effective management CVD context COVID-19, focusing on integration molecular enhance precision therapy.

Language: Английский

Citations

0

Decomposed interaction testing improves detection of genetic modifiers of the relationship of dietary omega-3 fatty acid intake and its plasma biomarkers with hsCRP in the UK Biobank DOI Creative Commons
Kenneth E. Westerman, Chirag J. Patel, James B. Meigs

et al.

Genes & Nutrition, Journal Year: 2025, Volume and Issue: 20(1)

Published: March 5, 2025

Discovery and translation of gene-environment interactions (GxEs) influencing clinical outcomes is limited by low statistical power poor mechanistic understanding. Molecular omics data may help address these limitations, but their incorporation into GxE testing requires principled analytic approaches. We focused on genetic modification the established link between dietary long-chain omega-3 fatty acid (dN3FA) intake, plasma N3FA (pN3FA), chronic inflammation as measured high sensitivity CRP (hsCRP). considered an approach that decomposes overall effect components upstream downstream a molecular mediator to increase potential discover gene-N3FA interactions. Simulations demonstrated improved tests compared standard when for many biologically plausible scenarios. The was applied in UK Biobank (N = 188,700) with regression models used measures dN3FA (based fish oil intake), pN3FA (% total acids nuclear magnetic resonance), hsCRP. Mediation analysis showed fully mediated dN3FA-hsCRP main relationship. Next, we separately tested ("standard"), dN3FA-pN3FA ("upstream"), pN3FA-hsCRP ("downstream") associations. known FADS1-3 locus variant rs174535 reached p 1.6 × 10-12 discovery analysis, no signal (p 0.94). It would not have been prioritized based naïve exposure hsCRP outcome 0.097), indicating value decomposition approach. Gene-level enrichment genome-wide results further two genes from CBLL1 MICA, links immune cell counts function. In summary, mediator-focused interaction enhanced identify GxEs while homing relevant sub-components pathway.

Language: Английский

Citations

0