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Review: A systematic guide for identifying transcription factors that directly regulate the expression of a gene of interest
- Andrew D. Bates,
- Dawid Grzela,
- Maciej Studzian,
- Louise Brennan,
- Moli Williams,
- Conor Fawcett,
- Beth Hammond,
- Manreen Grewal,
- Marcin Ratajewski,
- Lukasz Pulaski,
- and Urszula L. McClurg
Genome Res. March 2026 36: 433-459; Published in Advance February 17, 2026, doi:10.1101/gr.281154.125
.... These two approaches answer fundamentally different questions: The first one allows us to discover the DNA binding profile of a protein of interest; the second one is aimed at identifying proteins that may directly regulate a GOI.Protein-centric approaches were initiated by the development of chromatin...
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Research: Genome-wide nucleosome and transcription factor responses to genetic perturbations reveal chromatin-mediated mechanisms of transcriptional regulation
- Kevin Moyung,
- Yulong Li,
- Heather K. MacAlpine,
- Alexander J. Hartemink,
- and David M. MacAlpine
Genome Res. January 2026 36: 115-128; Published in Advance December 9, 2025, doi:10.1101/gr.279637.124
...in response to these genetic perturbations, allowing us to gain a comprehensive understanding of the chromatin-mediated mechanisms of transcriptional regulation, thereby demonstrating the potential for chromatin profiling to reconstruct and enhance transcriptional regulatory networks (TRNs...
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Method: TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics data
- Chen Li,
- Sijie Chen,
- Yixin Chen,
- Haiyang Bian,
- Minsheng Hao,
- Lei Wei,
- and Xuegong Zhang
Genome Res. June 2025 35: 1429-1439; Published in Advance April 10, 2025, doi:10.1101/gr.279955.124
...itself. represents whether TF j has a regulatory relation with gene i, and one means yes. CellOracle locates transcriptional start sites (TSSs) within the accessible chromatin regions, which are also called peaks, and then applies Cicero (Pliner et al. 2018) to identify the correlated peaks to the TSS...
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Method: Early feature extraction drives model performance in high-resolution chromatin accessibility prediction
- Aayush Grover,
- Till Muser,
- Liine Kasak,
- Lin Zhang,
- Ekaterina Krymova,
- and Valentina Boeva
Genome Res. March 2026 36: 619-629; Published in Advance January 12, 2026, doi:10.1101/gr.281042.125
...–specific regulatory features that underlie chromatin accessibility.View larger version: In this window In a new window Figure 4. Interpreting sequence features underlying model predictions. (A–D) Proportion of identified transcription factor motifs in different cell lines: (A) GM12878, (B) K562, (C) IMR-90, and (D...
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Research: Transcription and potential functions of a novel XIST isoform in male peripheral glia
- Kevin S. O'Leary,
- Meng-Yen Li,
- Kevyn Jackson,
- Lijie Shi,
- Elena Ezhkova,
- Bernice E. Morrow,
- and Deyou Zheng
Genome Res. February 2026 36: 257-274; Published in Advance December 12, 2025, doi:10.1101/gr.280832.125
...for investigation into its noncanonical functions.Toward this, we performed a systematic analysis of single-cell RNA-seq (scRNA-seq) and chromatin accessibility (scATAC-seq) data to characterize XIST expression in male and female tissues from healthy human individuals, including data from child and adult hearts...
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Method: Automated chromatin profiling with spa-ChIP-seq uncovers the impacts of condition variations
- Yuwei Cao,
- Lauren Patel,
- Lauren Alcoser,
- Eric Mendenhall,
- Christopher Benner,
- Sven Heinz,
- and Alon Goren
Genome Res. January 2026 36: 129-141; Published in Advance December 12, 2025, doi:10.1101/gr.281320.125
...immunoprecipitation for ChIP-seq: identifying ChIP-quality p300 monoclonal antibodies. Sci Rep 4: 5152. doi:10.1038/srep05152 ↵Heintzman ND, Stuart RK, Hon G, Fu Y, Ching CW, Hawkins RD, Barrera LO, Van Calcar S, Qu C, Ching KA, et al. 2007. Distinct and predictive chromatin signatures of transcriptional promoters...
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Resource: Integrative chromatin state annotation of 234 human ENCODE4 cell types using Segway
- Marjan Farahbod,
- Aboud Diab,
- Paul Sud,
- Meenakshi S. Kagda,
- Ian Whaling,
- Mehdi Foroozandeh,
- Ishan Goel,
- Habib Daneshpajouh,
- Benjamin Hitz,
- J. Michael Cherry,
- and Maxwell W. Libbrecht
Genome Res. October 6, 2025 gr.280633.125; Published in Advance October 6, 2025, doi:10.1101/gr.280633.125
...of chromatin states in the . Each chromatin state corresponds to a pattern of epigenomic activity such as patterns of transcription, Polycomb repression, or patterns associated with promoters, enhancers or other types of genomic regulatory elements. SAGA methods are unsupervised in that they identify patterns...
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Method: Systematic identification of interchromosomal interaction networks supports the existence of specialized RNA factories
- Borislav Hrisimirov Hristov,
- William Stafford Noble,
- and Alessandro Bertero
Genome Res. October 2024 34: 1610-1623; Published in Advance September 25, 2024, doi:10.1101/gr.278327.123
...that jointly interact in trans. This method, trans-C, initiates probabilistic random walks with restarts from a set of seed loci to traverse an input Hi-C contact network, thereby identifying sets of trans-contacting loci. We validate trans-C in three increasingly complex models of established trans contacts...
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Method: Recovering gene regulatory networks in single-cell multi-omics data with PRISM-GRN
- Wenhao Zhang,
- Lan Cao,
- Xiaoxuan Gu,
- Yongyu Long,
- and Ying Wang
Genome Res. January 2026 36: 142-158; Published in Advance October 9, 2025, doi:10.1101/gr.280757.125
..., and interpretable exploration of causal GRNs with prior knowledge and multi-omics data.Gene regulatory networks (GRNs), which encapsulate the complex interactions among transcription factors (TFs), target genes, and various regulatory elements, constitute the core machinery of gene regulation (Levine and Davidson...
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Method: Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet
- Yidi Deng,
- Jiadong Mao,
- Jarny Choi,
- and Kim-Anh Le Cao
Genome Res. March 5, 2026 gr.281171.125; Published in Advance March 5, 2026, doi:10.1101/gr.281171.125
...phagocyte (MP) 248 lineage. Meta-network analysis is used to examine transcriptional program alterations during 249 erythropoiesis, while meta-TF analysis is applied to identify the key TF module that potentially 250 coordinates MP differentiation. 251 NNet meta-network analysis reveals abrupt rewiring...
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