Michael G. Rosenfeld’s research while affiliated with University of California, San Diego and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (624)


Estrogen signaling elicits a checkpoint event at enhancers for eRNA synthesis
a, Heatmaps and profiles of CUT&Tag read densities within a 3-kb window around MegaTrans enhancers (n = 1,246). The data were generated from E2-treated or untreated MCF7 cells. b, RT–qPCR results showing that the transcription of TFF1e and FOXC1e is impaired with DNA-PKcs inhibitor NU7441, rather than the ATM inhibitor KU55933. Data are presented as mean values ± s.d. from three independent biological replicates. Ab, antibody; DMSO, dimethyl sulfoxide. P values are from a two-tailed Student’s t-test. c, Metagene plots showing PRO-seq signals on 791 pSer824-KAP1, highly enriched MegaTrans enhancers in negative control and the KAP1 KD cells. d, Box plot analysis of PRO-seq data of enhancers (n = 791) and genes (n = 522) induced by estrogen in negative control and the KAP1 KD cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the interquartile range (IQR) from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. RPKM, reads per kilobase per million mapped reads. e, Integrative Genomics Viewer tracks showing PRO-seq and CUT&Tag signals at the TFF1e locus. f, Box plots showing ERα and pSer824-KAP1 CUT&Tag signals at perS824-KAP1 highly enriched enhancers (n = 791) in dimethyl sulfoxide- or NU7441-treated cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. g, RT–qPCR results showing that the impaired transcription of TFF1e and FOXC1e are recused by doxycycline-induced expression of KAP1 WT, Ser824Asp-KAP1, but not Ser824Ala-KAP1. Data are presented as mean values ± s.d. from three independent biological replicates. The P values are from a two-tailed Student’s t-test.
Source data
Disruption of eRNA synthesis checkpoint lost elongation factor binding without alteration establishment of enhancers
a, Representative images of individual z-slices of IF signals and the merged channels. The zoomed column displays the overlap region. Scale bar, 2.5 µm. Images are from three independent biological replicates. b, Heatmaps profiling KAP1 binding at MegaTrans enhancers (n = 791) in shNTC (negative control), shERα and shGATA3 cells with or without E2 treatment, using a 3-kb window. c, Box plots showing ERα, GATA3 and TOP1cc signals at MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. d, Box plots showing H3K27ac and H3K4me1 CUT&Tag signals and ATAC–seq signals at MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. e, Tag distribution analysis representing CDK9, BRD4, PAF1, ELL2 and MED26 CUT&Tag signals at MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The P values were calculated using the two-sided Wilcoxon’s rank-sum test.
Release of P-TEFb from 7SK via eRNA synthesis checkpoint modulation
a, In vitro 7SK RNA pulldown assay represented by western blotting. b, Endogenous CDK9 co-IP assay showing the interaction between CDK9 and LARP7, BRD4, CyCT1, KAP1 and pSer824-KAP1. c, RIP–qPCR showing the binding of KAP1 on 7SK RNA before and after E2 treatment. d, RIP–qPCR showing the binding of KAP1 on 7SK RNA in shNTC (negative control) and shERα before and after E2 treatment. e, CUT&Tag profiling the enrichment of HA-KAP1, HA-Ser824Ala-KAP1 and HA-Ser824Asp-KAP1 on pSer824-KAP1 highly enriched MegaTrans enhancers (n = 791) with or without E2. f, RIP–qPCR indicating the binding of Ser824Ala or Ser824Asp variant HA-tagged KAP1 on 7SK RNA in E2-treated or untreated MCF7 cells. Data are presented as mean values ± s.d. from three independent biological replicates. The P values are from a two-tailed Student’s t-test. g, Co-IP assay showing the interaction between endogenous JMJD6 and KAP1 or pSer824-KAP1 before or after E2 treatment. h, Heatmaps for JMJD6 CUT&Tag signals at pSer824-KAP1 highly enriched MegaTrans enhancers (n = 791) in WT and KAP1 KO cells with E2 treatment (right).
P-TEFb activity at enhancer is regulated by eRNA synthesis checkpoint
a, HA-tagged CDK9 co-overexpressed with Flag-tagged SUMO1 or SUMO2 and SUMO3, UBC9 and KAP1 in HEK293T cells and IP with anti-HA-tag beads, followed by western blotting with anti-HA or anti-Flag antibodies. b, HA-tagged CDK9 co-overexpressed with Flag-tagged SUMO1, UBC9, KAP1, KAP1-Cys65 and 68A, KAP1-Ser824Ala or KAP1-Ser824Asp in HEK293T cells immunoprecipitated with anti-HA-tag beads, followed by western blotting with anti-HA or anti-Flag antibodies. c, RT–qPCR results showing that the impaired transcription of TFF1e is recused by doxycycline-induced expression of KAP1-Cys65 and 68A, not the Ser824Ala (Fig. 1 and Extended Data Fig. 1). Data are presented as mean values ± s.d. from three independent biological replicates. The P values are from a two-tailed Student’s t-test. d, Box plots showing Pol II CUT&Tag signals at MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. e, Tag distribution analysis representing Pol II S2P signals at pSer824-KAP1 highly enriched MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. f, Tag distribution analysis representing Pol II S5P signals at pSer824-KAP1 highly enriched MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. g, PR distribution calculated based on the CUT&Tag signals of Pol II S5P and S2P for MegaTrans enhancers (n = 791) in WT and KAP1 KO cells. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test. h, Box plots displaying the average changes of PR as shown in g. i, The 4C-seq experiments in MCF7, KAP1 KO, DNA-PKcs inhibitor (NU7440) treatment and doxycycline-induced expression of KAP1-Ser824Ala in KAP1 KO background cells after E2 stimulation, based on a TFF1 enhancer viewpoint. j, Browser tracks showing H3K4me3 and H3K27ac CUT&Tag signals at TFF1 locus in E2-treated or untreated MCF7 cells.
Presence of enhancer checkpoint in hormone response and proinflammatory state
a, Heatmaps profiling CUT&Tag read densities within a 3-kb window around AR active enhancers (n = 1,266). The data were generated from DHT-treated or untreated LNCaP cells. b, RT–qPCR results showing that the DHT-induced transcription of TMPRSS2e, KLK2e and KLK3e is impaired by KD of KAP1 with two different shRNA targets. Data are presented as mean values ± s.d. from three independent biological replicates. The P values are from a two-tailed Student’s t-test. c, Heatmaps profiling CUT&Tag read densities within a 3-kb window around p65 active enhancers (n = 852) in the proinflammatory state. The data were generated from TNF-treated or untreated A549 cells. d, RT–qPCR results showing that the TNF-induced transcription of Il10e, Il19e and Ccl2e is impaired by KD of KAP1 with two different shRNA targets. Data are presented as mean values ± s.d. from three independent biological replicates. The P values are from a two-tailed Student’s t-test. e, Box plots showing H3K27ac levels at ERα-, AR- and p65-enriched enhancers in MCF7 (n = 791), LNCaP (n = 1,266) and A549 (n = 852) cells. Veh, vehicle. The number represents the average. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test and the number represents the average. f, The H3K27ac ratio of vehicle to signal on different enhancer types. The number represents the median. g, Box plots showing KAP1-binding signals at ERα-, AR- and p65-enriched enhancers in MCF7 (n = 791), LNCaP (n = 1,266) and A549 (n = 852) cells. The center lines denote the medians, the box limits the 25th and 75th percentiles and the whiskers extend 1.5× the IQR from the 25th and 75th percentiles. The P values were calculated using the two-sided Wilcoxon’s rank-sum test and the number represents the average. h, The KAP1-binding vehicle to signal ratio at enhancers in different cell types. The number represents the median.

+1

An eRNA transcription checkpoint for diverse signal-dependent enhancer activation programs
  • Article
  • Publisher preview available

April 2025

·

31 Reads

Nature Genetics

Lishuan Wang

·

Wei Yuan

·

Amir Gamliel

·

[...]

·

Michael G. Rosenfeld

The evidence that signal- and ligand-dependent pathways function by activating regulatory enhancer programs suggests that a ‘checkpoint’ strategy may underline activation of many diversely regulated enhancers. Here we report a molecular mechanism common to several acute signal- and ligand-dependent enhancer activation programs based on release of a shared enhancer RNA (eRNA) transcription checkpoint. It requires recruitment of a DNA-dependent protein kinase catalytic subunit (DNA-PKcs)-phosphorylated RING finger repressor (Krüppel-associated box)-associated protein 1 (KAP1) as a modulator, inhibiting its association with 7SK and E3 small ubiquitin-like modifier (SUMO) ligase activity on the CDK9 subunit of positive transcription elongation factor b (P-TEFb). This facilitates formation of an activated P-TEFb complex, licensing eRNA elongation. Overcoming this checkpoint for signal-dependent enhancer activation occurs in diverse pathways, including estrogen receptor-α, NF-κB-regulated proinflammatory stimulation, androgen receptor and neuronal depolarization. Therefore, a specific strategy required to convert a basal state enhancer P-TEFb complex to an active state to release a conserved checkpoint is apparently employed by several functionally important signal-regulated regulatory enhancers to implement the instructions of the endocrine and paracrine system.

View access options

Molecular and Genetic Insights Into Human Ovarian Aging From Single-Nuclei Multi-omics Analyses

March 2025

·

13 Reads

Obstetrical and Gynecological Survey

(Abstracted from Nat Aging 2024. doi: 10.1038/s43587-024-00762-5) Ovaries are the crux of the female reproductive system and are the first organs to show signs of aging and thus the slowing of reproductive processes, characterized by a reduced number and quality of oocytes. The more a woman ages, the higher the risk of infertility or aneuploidy and congenital disabilities in their children.


Molecular and genetic insights into human ovarian aging from single-nuclei multi-omics analyses

November 2024

·

80 Reads

·

5 Citations

Nature Aging

The ovary is the first organ to age in the human body, affecting both fertility and overall health. However, the biological mechanisms underlying human ovarian aging remain poorly understood. Here we present a comprehensive single-nuclei multi-omics atlas of four young (ages 23–29 years) and four reproductively aged (ages 49–54 years) human ovaries. Our analyses reveal coordinated changes in transcriptomes and chromatin accessibilities across cell types in the ovary during aging, notably mTOR signaling being a prominent ovary-specific aging pathway. Cell-type-specific regulatory networks reveal enhanced activity of the transcription factor CEBPD across cell types in the aged ovary. Integration of our multi-omics data with genetic variants associated with age at natural menopause demonstrates a global impact of functional variants on gene regulatory networks across ovarian cell types. We nominate functional non-coding regulatory variants, their target genes and ovarian cell types and regulatory mechanisms. This atlas provides a valuable resource for understanding the cellular, molecular and genetic basis of human ovarian aging.


Dysregulation of miRNA expression and excitation in MEF2C autism patient hiPSC-neurons and cerebral organoids

September 2024

·

85 Reads

·

3 Citations

Molecular Psychiatry

MEF2C is a critical transcription factor in neurodevelopment, whose loss-of-function mutation in humans results in MEF2C haploinsufficiency syndrome (MHS), a severe form of autism spectrum disorder (ASD)/intellectual disability (ID). Despite prior animal studies of MEF2C heterozygosity to mimic MHS, MHS-specific mutations have not been investigated previously, particularly in a human context as hiPSCs afford. Here, for the first time, we use patient hiPSC-derived cerebrocortical neurons and cerebral organoids to characterize MHS deficits. Unexpectedly, we found that decreased neurogenesis was accompanied by activation of a micro-(mi)RNA-mediated gliogenesis pathway. We also demonstrate network-level hyperexcitability in MHS neurons, as evidenced by excessive synaptic and extrasynaptic activity contributing to excitatory/inhibitory (E/I) imbalance. Notably, the predominantly extrasynaptic (e)NMDA receptor antagonist, NitroSynapsin, corrects this aberrant electrical activity associated with abnormal phenotypes. During neurodevelopment, MEF2C regulates many ASD-associated gene networks, suggesting that treatment of MHS deficits may possibly help other forms of ASD as well.


Recruitment of CTCF to the SIRT1 promoter after Oxidative Stress mediates Cardioprotective Transcription

May 2024

·

59 Reads

Because most DNA-binding transcription factors (dbTFs), including the architectural regulator CTCF, bind RNA and exhibit di-/multimerization, a central conundrum is whether these distinct properties are regulated post-transcriptionally to modulate transcriptional programs. Here, investigating stress-dependent activation of SIRT1, encoding an evolutionarily-conserved protein deacetylase, we show that induced phosphorylation of CTCF acts as a rheostat to permit CTCF occupancy of low-affinity promoter DNA sites to precisely the levels necessary. This CTCF recruitment to the SIRT1 promoter is eliciting a cardioprotective cardiomyocyte transcriptional activation program and provides resilience against the stress of the beating heart in vivo . Mice harboring a mutation in the conserved low-affinity CTCF promoter binding site exhibit an altered, cardiomyocyte-specific transcriptional program and a systolic heart failure phenotype. This transcriptional role for CTCF reveals that a covalent dbTF modification regulating signal-dependent transcription serves as a previously unsuspected component of the oxidative stress response.


Gene Amplification of Mediator Subunit 30 Redirects the MYC Transcriptional Program and Oncogenesis

April 2024

·

59 Reads

Understanding the molecular mechanisms underlying tumorigenesis is crucial for developing effective cancer therapies. Here, we investigate the co-amplification of MED30 and MYC across diverse cancer types and its impact on oncogenic transcriptional programs. Transcriptional profiling of MYC and MED30 single or both overexpression/amplification revealed the over amount of MED30 lead MYC to a new transcriptional program that associate with poor prognosis. Mechanistically, MED30 overexpression/amplification recruits other Mediator components and binding of MYC to a small subset of novel genomic regulatory sites, changing the epigenetic marks and inducing the formation of new enhancers, which drive the expression of target genes crucial for cancer progression. In vivo studies in pancreatic ductal adenocarcinoma (PDAC) further validate the oncogenic potential of MED30, as its overexpression promotes tumor growth and can be attenuated by knockdown of MYC. Using another cancer type as an example, MED30 knockdown reduces tumor growth particularly in MYC high-expressed glioblastoma (GBM) cell lines. Overall, our study elucidates the critical role of MED30 overexpression in orchestrating oncogenic transcriptional programs and highlights its potential as a therapeutic target for MYC-amplified cancer.


Enhancer-promoter specificity in gene transcription: molecular mechanisms and disease associations

April 2024

·

18 Reads

·

10 Citations

Experimental and Molecular Medicine

Although often located at a distance from their target gene promoters, enhancers are the primary genomic determinants of temporal and spatial transcriptional specificity in metazoans. Since the discovery of the first enhancer element in simian virus 40, there has been substantial interest in unraveling the mechanism(s) by which enhancers communicate with their partner promoters to ensure proper gene expression. These research efforts have benefited considerably from the application of increasingly sophisticated sequencing- and imaging-based approaches in conjunction with innovative (epi)genome-editing technologies; however, despite various proposed models, the principles of enhancer–promoter interaction have still not been fully elucidated. In this review, we provide an overview of recent progress in the eukaryotic gene transcription field pertaining to enhancer–promoter specificity. A better understanding of the mechanistic basis of lineage- and context-dependent enhancer–promoter engagement, along with the continued identification of functional enhancers, will provide key insights into the spatiotemporal control of gene expression that can reveal therapeutic opportunities for a range of enhancer-related diseases.



A TLR4/TRAF6-dependent signaling pathway mediates NCoR coactivator complex formation for inflammatory gene activation

January 2024

·

79 Reads

·

3 Citations

Proceedings of the National Academy of Sciences

The nuclear receptor corepressor (NCoR) forms a complex with histone deacetylase 3 (HDAC3) that mediates repressive functions of unliganded nuclear receptors and other transcriptional repressors by deacetylation of histone substrates. Recent studies provide evidence that NCoR/HDAC3 complexes can also exert coactivator functions in brown adipocytes by deacetylating and activating PPARγ coactivator 1α (PGC1α) and that signaling via receptor activator of nuclear factor kappa-B (RANK) promotes the formation of a stable NCoR/HDAC3/PGC1β complex that coactivates nuclear factor kappa-B (NFκB)- and activator protein 1 (AP-1)-dependent genes required for osteoclast differentiation. Here, we demonstrate that activation of Toll-like receptor (TLR) 4, but not TLR3, the interleukin 4 (IL4) receptor nor the Type I interferon receptor, also promotes assembly of an NCoR/HDAC3/PGC1β coactivator complex. Receptor-specific utilization of TNF receptor-associated factor 6 (TRAF6) and downstream activation of extracellular signal-regulated kinase 1 (ERK1) and TANK-binding kinase 1 (TBK1) accounts for the common ability of RANK and TLR4 to drive assembly of an NCoR/HDAC3/PGC1β complex in macrophages. ERK1, the p65 component of NFκB, and the p300 histone acetyltransferase (HAT) are also components of the induced complex and are associated with local histone acetylation and transcriptional activation of TLR4-dependent enhancers and promoters. These observations identify a TLR4/TRAF6-dependent signaling pathway that converts NCoR from a corepressor of nuclear receptors to a coactivator of NFκB and AP-1 that may be relevant to functions of NCoR in other developmental and homeostatic processes.


Ultrafine mapping of chromosome conformation at hundred basepair resolution reveals regulatory genome architecture

November 2023

·

20 Reads

·

5 Citations

Proceedings of the National Academy of Sciences

The resolution limit of chromatin conformation capture methodologies (3Cs) has restrained their application in detection of fine-level chromatin structure mediated by cis-regulatory elements (CREs). Here, we report two 3C-derived methods, Tri-4C and Tri-HiC, which utilize multirestriction enzyme digestions for ultrafine mapping of targeted and genome-wide chromatin interaction, respectively, at up to one hundred basepair resolution. Tri-4C identified CRE loop interaction networks and quantitatively revealed their alterations underlying dynamic gene control. Tri-HiC uncovered global fine-gauge regulatory interaction networks, identifying >20-fold more enhancer:promoter (E:P) loops than in situ Hi-C. In addition to vastly improved identification of subkilobase-sized E:P loops, Tri-HiC also uncovered interaction stripes and contact domain insulation from promoters and enhancers, revealing their loop extrusion behaviors resembling the topologically associating domain boundaries. Tri-4C and Tri-HiC provide robust approaches to achieve the high-resolution interactome maps required for characterizing fine-gauge regulatory chromatin interactions in analysis of development, homeostasis, and disease.


Citations (61)


... The AUC values of the ROC curve for 3-, 5-, and 8-year survival prediction of the nomogram in this study reached 0.84, 0.83, and 0.80, respectively, which are better than previous studies [33][34][35][36] . One of the genes that make up the risk score, CEBPD was shown by Kinoshita's group in 1992 to produce transcriptional synergy with NF-IL6 37 , playing a crucial role in pathways such as inflammatory response and cell cycle regulation, both of which are associated with cancer progression [37][38][39] . Evidence suggests that lipid metabolism is considered to play an important role in breast cancer [40][41][42] , which suggests that CEBPD may affect lipid metabolism by regulating genes involved in lipid transport and synthesis, which may affect tumor cell proliferation and immune cell infiltration [43][44][45] . ...

Reference:

Comprehensive analysis of lipid metabolic signatures identified CEBPD promotes breast cancer cell proliferation
Molecular and genetic insights into human ovarian aging from single-nuclei multi-omics analyses

Nature Aging

... [66][67][68][69][70] Accordingly, there is some uncertainty about the molecular determinants of enhancer activity in normal cells and how it is mistargeted in cancer cells. 68,71,72 In the protein tracking model ( Figure 3A), communication is mediated by a protein that binds to a specific site on the DNA and actively moves along the DNA strand to its target activation site. This mechanism has been demonstrated for the late promoter of bacteriophage T4. 73 Loop extrusion ( Figure 3B) is an energy-consuming protein translocation relative to the DNA that can be driven by the structural maintenance of chromosome (SMC) protein complexes. ...

Enhancer-promoter specificity in gene transcription: molecular mechanisms and disease associations

Experimental and Molecular Medicine

... These two HATs acetylate lysine 27 of histone 3, enhancing β-catenin signaling to promote osteoblastic activity [84]. This HAT interacts with nuclear receptor corepressor and histone deacetylase 3, promoting acetyl histone enrichment at toll-like receptor 4/6 promoters for osteoclast differentiation of macrophages [85]. Furthermore, single-cell sequencing has shown that p300 appears to be an osteoclast fate "decision maker", which interacts with Glu/Asp-rich carboxy-terminal domain 2 (Cited2) to induce osteoclast maturation [86]. ...

A TLR4/TRAF6-dependent signaling pathway mediates NCoR coactivator complex formation for inflammatory gene activation
  • Citing Article
  • January 2024

Proceedings of the National Academy of Sciences

... In the modules with significant enrichment (adjusted p > 0.05) by Fisher's exact test of biologic processes and molecular functions based on GO and KEGG we performed the t-test to compare groups in each cohort and perform the volcano plot analysis to show the differential methylated transcripts in each module. Modules with non-significant enrichments pathways were removed in data visualization [26]. To validate the significant modules, we performed the Boruta algorithm analysis using Boruta function in R. Boruta uses the random forest regression to determine the methylated transcripts in each significant module could predict gene expression (7,140 transcripts in the total unmethylated data). ...

EGFR promotes ALKBH5 nuclear retention to attenuate N6-methyladenosine and protect against ferroptosis in glioblastoma
  • Citing Article
  • November 2023

Molecular Cell

... . Previous studies have correlated these structures with interaction hotspots identified by high-depth 4C assays, enriched at regulatory elements 18,33,34 . To annotate the interacting regions, we mapped open chromatin regions in 23 matched samples using an assay for transposase-accessible chromatin with sequencing (ATAC-seq) 35 (Fig. 1b) and annotated the regulatory elements using the Ensembl regulatory build 36 . ...

Ultrafine mapping of chromosome conformation at hundred basepair resolution reveals regulatory genome architecture
  • Citing Article
  • November 2023

Proceedings of the National Academy of Sciences

... Chromatin immunoprecipitation (ChIP) was performed in two biological duplicates as previously ChIP-Seq analysis was performed as previously described (26). Sequencing quality was first assessed by FastQC and libraries with high quality reads were trimmed with Trimmomatic (v0.39). ...

RANK ligand converts the NCoR/HDAC3 co-repressor to a PGC1β- and RNA-dependent co-activator of osteoclast gene expression
  • Citing Article
  • September 2023

Molecular Cell

... These loops can be broadly categorized into: i) structural loops demarcating domains of interactions such as topological domains (TADs) and marked by the binding of CTCF and cohesin at their anchors; ii) regulatory loops which join distal gene regulatory elements such as enhancers and promoters to modulate gene expression (Boltsis et al., 2021;Brandão et al., 2021;L.-F. Chen & Long, 2023;Hu et al., 2023;Ibrahim & Mundlos, 2020;Ito et al., 2022;Popay & Dixon, 2022;Portillo-Ledesma et al., 2023;Qiu et al., 2023;Schaeffer & Nollmann, 2023;Xu et al., 2020). Our understanding of the exact role these loops/interactions play in cell-type specific gene regulation and ultimately disease susceptibility is far from complete. ...

The 3D genome and its impacts on human health and disease

Life Medicine

... Therefore, to interpret regulation of gene activity in a particular signal or cell type, it becomes critical to mechanistically understand the basic strategies underlying regulated transcriptional activation of enhancers and determine whether there are common events, or checkpoints, that represent strategies by which diverse signals or ligands, such as estradiol-17β (E 2 ) or NF-κB activation by tumor necrosis factor (TNF), activate large enhancer programs. In the case of E 2 , enhancer activation requires an initial activation of topoisomerase1, forming a TOP1 covalent complex with DNA (TOP1cc) 18 and the subsequent formation of a large enhancer condensate, referred to as a MegaTrans complex 7 , bringing together a massive RNP as a result of high-affinity chromatin binding of a single TF 17 . ...

Signal-induced enhancer activation requires Ku70 to read topoisomerase1–DNA covalent complexes

Nature Structural & Molecular Biology

... An analysis protocol of the data was conducted according to our previously published works 49,57 .The bioinformatic analysis of ATAC-seq, CUT&Tag and PRO-seq were performed using the following steps: (1) for quality control, FASTQC v.0.11.5 (https://www.bioinformatics.babraham.ac.uk/projects/fastqc) and Cutadapt (https://cutadapt.readthedocs.io/en/stable) were utilized, for PRO-seq trimming options: -u 10 -U 10 -a AGATCGGAAGAG -A GATCGTCGGACT; CUT&Tag and ATAC-seq trimming options: -u 15 -U 15 -a CTGTCTCTTATACA-CATCT -A CTGTCTCTTATACACATCT. (2) Data were aligned to human genome hg38 by Bowtie2 v.2.2.6, PRO-seq alignment options: -q -5 10 --very-sensitive-local --no-unal -N 1 -p 24; CUT&Tag and ATACseq alignment options: -q --end-to-end --very-sensitive --no-mixed --no-discordant --phred33 -I 10 -X 700 -p 24. ...

Long-distance association of topological boundaries through nuclear condensates

Proceedings of the National Academy of Sciences

... Thus, we propose that the sequential formation of complexes at enhancers culminates in assembly of the phospho-KAP1-dependent complex that modulates release of the eRNA synthesis checkpoint required for signal-dependent enhancer activation. This sequence of events is illustrated by a ligand-dependent enhancer activation program in ERα-bound enhancers; in these, even after activation of TOP1, assembly of the HP1γ/MED26 complex 18,43 , and formation of the MegaTrans condensates 44 , without the eRNA elongation checkpoint release described here, enhancer activation does not occur. This critical regulatory process requires conversion of the inactive form of the 7SK-bound P-TEFb complex to the active form in which P-TEFb and 7SK RNPs on the enhancer are mutually exclusive 45 , dependent on phosphorylation at Ser824 KAP1 by DNA-PKcs. ...

Transcriptional enhancers at 40: evolution of a viral DNA element to nuclear architectural structures
  • Citing Article
  • July 2022

Trends in Genetics