ReviewFundamental research2025
Single-cell epigenomics and proteomics methods integrated in multiomics.
Review in Fundamental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Article
- Nutrient-Sensitive Epigenetic Modifiers as Candidate Biomarkers of Metabolic Dysfunction in Obesity: A Nutrigenomic Review.International journal of molecular sciences · 2026Review
- Mass Spectrometry Proteomics: A Key to Faster Drug Discovery.Journal of medicinal chemistry · 2026Review
- Editorial: Multiomics advances: bridging gaps in understanding intricate biological systems.Frontiers in plant science · 2026Article
- The Role of Proteomics and Genomics in the Development of Colorectal Cancer Diagnostic Tools and Potential New Treatments.ACS pharmacology & translational science · 2025Review
- Laser capture microdissection.Nature reviews. Methods primers · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The meticulous examination of the genomic, transcriptomic, epigenomic, and proteomic landscapes, conducted at the precise resolution of single cells, has emerged as an indispensable instrument for comprehending the inherent mechanisms governing cellular heterogeneity. These methodologies have provided unprecedented insights into the intrinsic and extrinsic factors that underlie cellular morphological characteristics and differentiated functions. Within this field, multimodal techniques that concurrently analyze the epigenetic features of chromatin or cellular proteins and gene expression within an identical cell delineate intricate gene regulatory networks and phenotypes, thereby enhancing our understanding of cellular states during differentiation or pathological conditions. These techniques can be applied to identify cell subpopulations, infer cell developmental trajectories, and analyze patterns of cell-to-cell communication. In this context, we initiate by delineating the singular cell separation techniques employed in single-cell multiomics. Subsequently, we narrow our focus to methodologies amalgamating epigenetic features with gene expression at single-cell resolution. The epigenetic features entail DNA methylation, chromatin accessibility, histone modifications, chromatin conformation, and transcription factors. Following this, we discuss techniques for the conjoint analysis of cell surface and intracellular proteins in tandem with the transcriptome. Finally, we discuss the challenges and opportunities that manifest within this field, contributing to its continued advancement and exploration.
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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.