ArticleF1000Research2016
A curated compendium of monocyte transcriptome datasets of relevance to human monocyte immunobiology research.
Article in F1000Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Monocyte Differentiation and Heterogeneity: Inter-Subset and Interindividual Differences.International journal of molecular sciences · 2023Review
- Human Monocytes Plasticity in Neurodegeneration.Biomedicines · 2021Review
- Organizing training workshops on gene literature retrieval, profiling, and visualization for early career researchers.F1000Research · 2021Article
- Infection of Monocytes From Tuberculosis Patients With Two Virulent Clinical Isolates ofFrontiers in cellular and infection microbiology · 2020Article
- Human Monocyte Subset Distinctions and Function: Insights From Gene Expression Analysis.Frontiers in immunology · 2020Review
- Long-Chain Acyl-CoA Synthetase 1 Role in Sepsis and Immunity: Perspectives From a Parallel Review of Public Transcriptome Datasets and of the Literature.Frontiers in immunology · 2019Review
- A curated transcriptome dataset collection to investigate the blood transcriptional response to viral respiratory tract infection and vaccination.F1000Research · 2019Article
- A curated collection of transcriptome datasets to investigate the molecular mechanisms of immunoglobulin E-mediated atopic diseases.Database : the journal of biological databases and curation · 2019Article
- A curated transcriptome dataset collection to investigate inborn errors of immunity.F1000Research · 2019Article
- Using 'collective omics data' for biomedical research training.Immunology · 2018Review
- Microglial Phenotypes and Functions in Multiple Sclerosis.Cold Spring Harbor perspectives in medicine · 2018Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems-scale profiling approaches have become widely used in translational research settings. The resulting accumulation of large-scale datasets in public repositories represents a critical opportunity to promote insight and foster knowledge discovery. However, resources that can serve as an interface between biomedical researchers and such vast and heterogeneous dataset collections are needed in order to fulfill this potential. Recently, we have developed an interactive data browsing and visualization web application, the Gene Expression Browser (GXB). This tool can be used to overlay deep molecular phenotyping data with rich contextual information about analytes, samples and studies along with ancillary clinical or immunological profiling data. In this note, we describe a curated compendium of 93 public datasets generated in the context of human monocyte immunological studies, representing a total of 4,516 transcriptome profiles. Datasets were uploaded to an instance of GXB along with study description and sample annotations. Study samples were arranged in different groups. Ranked gene lists were generated based on relevant group comparisons. This resource is publicly available online at http://monocyte.gxbsidra.org/dm3/landing.gsp.
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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.