ReviewFrontiers in genetics2020
Unraveling Heterogeneity in Transcriptome and Its Regulation Through Single-Cell Multi-Omics Technologies.
Review in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- DeCTCF: Decoding CTCF binding sequences by leveraging predicted epigenomic features.PLoS computational biology · 2026Article
- Spatial cartography of human thymus enables the geopositioning of lineage transcription factors in rare mimetic thymic epithelial cells.Nature communications · 2026Article
- Single-cell analysis reveal cell-type-specific RNA methylation patterns in breast cancer.The Journal of international medical research · 2025Article
- Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective.Journal of proteome research · 2025Review
- Elucidating stearoyl metabolism and NCOA4-mediated ferroptosis in gastric cancer liver metastasis through multi-omics single-cell integrative mendelian analysis: advancing personalized immunotherapy strategies.Discover oncology · 2025Article
- Advancements and applications of single-cell multi-omics techniques in cancer research: Unveiling heterogeneity and paving the way for precision therapeutics.Biochemistry and biophysics reports · 2024Review
- Omada: robust clustering of transcriptomes through multiple testing.GigaScience · 2024Article
- TACCO unifies annotation transfer and decomposition of cell identities for single-cell and spatial omics.Nature biotechnology · 2023Article
- Spatial Single-Cell Technologies for Exploring Gastrointestinal Tissue Transcriptome.Comprehensive Physiology · 2023Article
- Quantification of Biocatalytic Transformations by Single Microbial Cells Enabled by Tailored Integration of Droplet Microfluidics and Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2022Article
- Single-cell sequencing technologies in bladder cancer research: Applications and challenges.Frontiers in genetics · 2022Review
- On the Regulation of Mitosis by the Kinetochore, a Macromolecular Complex and Organising Hub of Eukaryotic Organisms.Sub-cellular biochemistry · 2022Article
- Tackling Current Biomedical Challenges With Frontier Biofabrication and Organ-On-A-Chip Technologies.Frontiers in bioengineering and biotechnology · 2021Review
- Human Organoid and Supporting Technologies for Cancer and Toxicological Research.Frontiers in genetics · 2021Review
- Parallel bimodal single-cell sequencing of transcriptome and chromatin accessibility.Genome research · 2020Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More recently, multi-omics single-cell techniques enable the capture of molecular footprints with a higher resolution by simultaneously profiling various cellular contents within an individual cell. Integrative analysis of multi-omics datasets unravels the relationships between cellular modalities, builds sophisticated regulatory networks, and provides a holistic view of the cell state. In this review, we summarize the major developments in the single-cell field and review the current state-of-the-art single-cell multi-omic techniques and the bioinformatic tools for integrative analysis.
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What OpenQuestion holds
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.