ReviewMethods (San Diego, Calif.)2015
Single molecule and single cell epigenomics.
Review in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Biophysics is reshaping our perception of the epigenome: from DNA-level to high-throughput studies.Biophysical reports · 2021Review
- Cytosine Methylation Studies in Patients with Diabetic Kidney Disease.Current diabetes reports · 2019Review
- Analytical epigenetics: single-molecule optical detection of DNA and histone modifications.Current opinion in biotechnology · 2019Review
- Using single cell analysis for translational studies in immune mediated diseases: Opportunities and challenges.Molecular immunology · 2018Review
- Epigenetic mechanisms underlying nervous system diseases.Handbook of clinical neurology · 2018Review
- Precision medicine based on epigenomics: the paradigm of carcinoma of unknown primary.Nature reviews. Clinical oncology · 2017Review
- Modular fluorescence complementation sensors for live cell detection of epigenetic signals at endogenous genomic sites.Nature communications · 2017Article
- Platform for combined analysis of functional and biomolecular phenotypes of the same cell.Scientific reports · 2017Article
- Spatiotemporal regulation of enhancers during cardiogenesis.Cellular and molecular life sciences : CMLS · 2017Review
- Single-cell transcriptome and epigenomic reprogramming of cardiomyocyte-derived cardiac progenitor cells.Scientific data · 2016Article
- The application of microfluidic-based technologies in the cycle of metabolic engineering.Synthetic and systems biotechnology · 2016Review
- reChIP-seq reveals widespread bivalency of H3K4me3 and H3K27me3 in CD4(+) memory T cells.Nature communications · 2016Article
- DNA hypomethylation of Synapsin II CpG islands associates with increased gene expression in bipolar disorder and major depression.BMC psychiatry · 2016Article
- Omics Profiling in Precision Oncology.Molecular & cellular proteomics : MCP · 2016Review
- Analysis of single nucleic acid molecules in micro- and nano-fluidics.Lab on a chip · 2016Review
- Genome-Wide Epigenetic Studies in Human Disease: A Primer on -Omic Technologies.American journal of epidemiology · 2016Article
- Single-Cell Sequencing Technology in Oncology: Applications for Clinical Therapies and Research.Analytical cellular pathology (Amsterdam) · 2016Review
- Get to Understand More from Single-Cells: Current Studies of Microfluidic-Based Techniques for Single-Cell Analysis.International journal of molecular sciences · 2015Review
- Spatially resolved transcriptomics and beyond.Nature reviews. Genetics · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Dynamically regulated changes in chromatin states are vital for normal development and can produce disease when they go awry. Accordingly, much effort has been devoted to characterizing these states under normal and pathological conditions. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is the most widely used method to characterize where in the genome transcription factors, modified histones, modified nucleotides and chromatin binding proteins are found; bisulfite sequencing (BS-seq) and its variants are commonly used to characterize the locations of DNA modifications. Though very powerful, these methods are not without limitations. Notably, they are best at characterizing one chromatin feature at a time, yet chromatin features arise and function in combination. Investigators commonly superimpose separate ChIP-seq or BS-seq datasets, and then infer where chromatin features are found together. While these inferences might be correct, they can be misleading when the chromatin source has distinct cell types, or when a given cell type exhibits any cell to cell variation in chromatin state. These ambiguities can be eliminated by robust methods that directly characterize the existence and genomic locations of combinations of chromatin features in very small inputs of cells or ideally, single cells. Here we review single molecule epigenomic methods under development to overcome these limitations, the technical challenges associated with single molecule methods and their potential application to single cells.
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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.