ArticleScientific data2019
STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 33 citations in OpenAlex.
- Understanding crosstalk between the gut and liver microbiome: pathogenesis to therapeutic approaches in liver cancer.Cancer cell international · 2025Review
- Multi-omics based and AI-driven drug repositioning for epigenetic therapy in female malignancies.Journal of translational medicine · 2025Review
- Multi-omics approaches: transforming the landscape of natural product isolation.Functional & integrative genomics · 2025Review
- MOSim: bulk and single-cell multilayer regulatory network simulator.Briefings in bioinformatics · 2025Article
- Decoding functional proteome information in model organisms using protein language models.NAR genomics and bioinformatics · 2024Article
- A review of genetic resources and trends of omics applications in donkey research: focus on China.Frontiers in veterinary science · 2024Review
- LIBRA: an adaptative integrative tool for paired single-cell multi-omics data.Quantitative biology (Beijing, China) · 2023Article
- Executable Network Models of Integrated Multiomics Data.Journal of proteome research · 2023Article
- A guide to multi-omics data collection and integration for translational medicine.Computational and structural biotechnology journal · 2023Review
- Reference-based comparison of adaptive immune receptor repertoires.Cell reports methods · 2022Article
- PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases.Nucleic acids research · 2022Article
- RNA-sequencing and mass-spectrometry proteomic time-series analysis of T-cell differentiation identified multiple splice variants models that predicted validated protein biomarkers in inflammatory diseases.Frontiers in molecular biosciences · 2022Article
- Generalized and scalable trajectory inference in single-cell omics data with VIA.Nature communications · 2021Article
- OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data.Nucleic acids research · 2021Article
- Multi-omic analysis unveils biological pathways in peripheral immune system associated to minimal hepatic encephalopathy appearance in cirrhotic patients.Scientific reports · 2021Article
- Understanding the Adult Mammalian Heart at Single-Cell RNA-Seq Resolution.Frontiers in cell and developmental biology · 2021Review
- Computational strategies for single-cell multi-omics integration.Computational and structural biotechnology journal · 2021Review
- STATegra: Multi-Omics Data Integration - A Conceptual Scheme With a Bioinformatics Pipeline.Frontiers in genetics · 2021Article
- Harmonization of quality metrics and power calculation in multi-omic studies.Nature communications · 2020Article
- Computational Oncology in the Multi-Omics Era: State of the Art.Frontiers in oncology · 2020Review
Corrections and comments
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Authors and funding
30 authors at 14 institutions in 10 countries.
Funding
Abstract
Multi-omics approaches use a diversity of high-throughput technologies to profile the different molecular layers of living cells. Ideally, the integration of this information should result in comprehensive systems models of cellular physiology and regulation. However, most multi-omics projects still include a limited number of molecular assays and there have been very few multi-omic studies that evaluate dynamic processes such as cellular growth, development and adaptation. Hence, we lack formal analysis methods and comprehensive multi-omics datasets that can be leveraged to develop true multi-layered models for dynamic cellular systems. Here we present the STATegra multi-omics dataset that combines measurements from up to 10 different omics technologies applied to the same biological system, namely the well-studied mouse pre-B-cell differentiation. STATegra includes high-throughput measurements of chromatin structure, gene expression, proteomics and metabolomics, and it is complemented with single-cell data. To our knowledge, the STATegra collection is the most diverse multi-omics dataset describing a dynamic biological system.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.