ReviewDevelopment (Cambridge, England)2019
Mapping chromatin modifications at the single cell level.
Review in Development (Cambridge, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
33 citing papers in PubMed, 52 citations in OpenAlex.
- Getting nuclear size just right - emerging mechanisms regulating nuclear scaling and morphology.Journal of cell science · 2026Review
- Exploring single-cell and multi-omics technologies and their role in unraveling tumor heterogeneity of hepatocellular carcinoma.Journal of liver cancer · 2026Review
- A comparison of integration methods for single-cell RNA sequencing data and ATAC sequencing data.Quantitative biology (Beijing, China) · 2025Review
- Single-cell Epigenomic Profiling with High-throughput Droplet scChIP-seq.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Beyond the bulk: overview and novel insights into the dynamics of muscle satellite cells during muscle regeneration.Inflammation and regeneration · 2024Review
- Progress in multifactorial single-cell chromatin profiling methods.Biochemical Society transactions · 2024Review
- Deep Batch Integration and Denoise of Single-Cell RNA-Seq Data.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Chromatinopathies: insight in clinical aspects and underlying epigenetic changes.Journal of applied genetics · 2024Review
- The omics era: a nexus of untapped potential for Mendelian chromatinopathies.Human genetics · 2024Review
- Designing Epigenome Editors: Considerations of Biochemical and Locus Specificities.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Introduction to bioimaging-based spatial multi-omic novel methods.Quantitative biology (Beijing, China) · 2023Review
- Single-Cell Analysis in Immuno-Oncology.International journal of molecular sciences · 2023Review
- How single-cell techniques help us look into lung cancer heterogeneity and immunotherapy.Frontiers in immunology · 2023Review
- Mammalian DNA methylome dynamics: mechanisms, functions and new frontiers.Development (Cambridge, England) · 2022Review
- Epigenetic tumor heterogeneity in the era of single-cell profiling with nanopore sequencing.Clinical epigenetics · 2022Review
- Investigating Histone Modification Dynamics by Mechanistic Computational Modeling.Methods in molecular biology (Clifton, N.J.) · 2022Article
- How a cell decides its own fate: a single-cell view of molecular mechanisms and dynamics of cell-type specification.Biochemical Society transactions · 2021Review
- The Mesangial cell - the glomerular stromal cell.Nature reviews. Nephrology · 2021Review
- The language of chromatin modification in human cancers.Nature reviews. Cancer · 2021Review
- Molecular prospect of type-2 diabetes: Nanotechnology based diagnostics and therapeutic intervention.Reviews in endocrine & metabolic disorders · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Understanding chromatin regulation holds enormous promise for controlling gene regulation, predicting cellular identity, and developing diagnostics and cellular therapies. However, the dynamic nature of chromatin, together with cell-to-cell heterogeneity in its structure, limits our ability to extract its governing principles. Single cell mapping of chromatin modifications, in conjunction with expression measurements, could help overcome these limitations. Here, we review recent advances in single cell-based measurements of chromatin modifications, including optimization to reduce DNA loss, improved DNA sequencing, barcoding, and antibody engineering. We also highlight several applications of these techniques that have provided insights into cell-type classification, mapping modification co-occurrence and heterogeneity, and monitoring chromatin dynamics.
Indexed as
Identifiers
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.