ArticleMethods in molecular biology (Clifton, N.J.)2022
Single-Cell Analysis of the Transcriptome and Epigenome.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- The nutrigenomic-epigenetic axis in cancer: from dietary bioactives to precision oncology.Nutrition & metabolism · 2026Review
- The Future of Epigenetics: Emerging Technologies and Clinical Applications.ACS pharmacology & translational science · 2026Review
- Human Genome Safe Harbor Sites: A Comprehensive Review of Criteria, Discovery, Features, and Applications.Cells · 2026Review
- Biomaterial-mediated Cell Atlas: an insight from single-cell and spatial transcriptomics.Bioactive materials · 2025Review
- The Application of Single-Cell Technologies for Vaccine Development Against Viral Infections.Vaccines · 2025Review
- Single-cell omics technologies - Fundamentals on how to create single-cell looking glasses for reproductive health.American journal of obstetrics and gynecology · 2025Review
- Systemic inflammation-induced adipose tissue remodeling drives psoriasis exacerbation in obesity through epigenetic and immunometabolic dysregulation.Theranostics · 2025Article
- Dissecting the Heterogeneity of Senescent Cells Through CITE-seq Integration.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Methods in DNA methylation array dataset analysis: A review.Computational and structural biotechnology journal · 2024Review
- Review
- CAraCAl: CAMML with the integration of chromatin accessibility.BMC bioinformatics · 2024Article
- Article
- Modular dual-color BiAD sensors for locus-specific readout of epigenome modifications in single cells.Cell reports methods · 2024Article
- Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology.Biodesign research · 2024Review
- How life events may confer vulnerability to addiction: the role of epigenetics.Frontiers in molecular neuroscience · 2024Review
- New Challenges for Anatomists in the Era of Omics.Diagnostics (Basel, Switzerland) · 2023Review
- Cannabis and Paternal Epigenetic Inheritance.International journal of environmental research and public health · 2023Review
- Unraveling the intricacies of host-pathogen interaction through single-cell genomics.Microbes and infectionReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Epigenome regulation has emerged as an important mechanism for the maintenance of organ function in health and disease. Dissecting epigenomic alterations and resultant gene expression changes in single cells provides unprecedented resolution and insight into cellular diversity, modes of gene regulation, transcription factor dynamics and 3D genome organization. In this chapter, we summarize the transformative single-cell epigenomic technologies that have deepened our understanding of the fundamental principles of gene regulation. We provide a historical perspective of these methods, brief procedural outline with emphasis on the computational tools used to meaningfully dissect information. Our overall goal is to aid scientists using these technologies in their favorite system of interest.
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.