ArticleNational science review2016
Modeling the causal regulatory network by integrating chromatin accessibility and transcriptome data.
Article in National science review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- CASHeart: A database of single cells chromatin accessibility for the human heart.Quantitative biology (Beijing, China) · 2025Article
- DeepCAGE: Incorporating Transcription Factors in Genome-wide Prediction of Chromatin Accessibility.Genomics, proteomics & bioinformatics · 2022Article
- SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.Genes · 2022Article
- Epigenetics of wheat-rust interaction: an update.Planta · 2022Review
- Review
- From reads to insight: a hitchhiker's guide to ATAC-seq data analysis.Genome biology · 2020Review
- Global Role of Crop Genomics in the Face of Climate Change.Frontiers in plant science · 2020Review
- Hierarchical graphical model reveals HFR1 bridging circadian rhythm and flower development inNPJ systems biology and applications · 2019Article
- Constructing tissue-specific transcriptional regulatory networks via a Markov random field.BMC genomics · 2018Article
- Improved anticancer drug response prediction in cell lines using matrix factorization with similarity regularization.BMC cancer · 2017Article
- Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.Bioinformatics (Oxford, England) · 2017Article
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 at 1 institution in 2 countries.
Funding
Abstract
Cell packs a lot of genetic and regulatory information through a structure known as chromatin, i.e. DNA is wrapped around histone proteins and is tightly packed in a remarkable way. To express a gene in a specific coding region, the chromatin would open up and DNA loop may be formed by interacting enhancers and promoters. Furthermore, the mediator and cohesion complexes, sequence-specific transcription factors, and RNA polymerase II are recruited and work together to elaborately regulate the expression level. It is in pressing need to understand how the information, about when, where, and to what degree genes should be expressed, is embedded into chromatin structure and gene regulatory elements. Thanks to large consortia such as Encyclopedia of DNA Elements (ENCODE) and Roadmap Epigenomic projects, extensive data on chromatin accessibility and transcript abundance are available across many tissues and cell types. This rich data offer an exciting opportunity to model the causal regulatory relationship. Here, we will review the current experimental approaches, foundational data, computational problems, interpretive frameworks, and integrative models that will enable the accurate interpretation of regulatory landscape. Particularly, we will discuss the efforts to organize, analyze, model, and integrate the DNA accessibility data, transcriptional data, and functional genomic regions together. We believe that these efforts will eventually help us understand the information flow within the cell and will influence research directions across many fields.
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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.