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104 result(s) for "Peng, Weiqun"
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Tcf1 and Lef1 provide constant supervision to mature CD8+ T cell identity and function by organizing genomic architecture
T cell identity is established during thymic development, but how it is maintained in the periphery remains unknown. Here we show that ablating Tcf1 and Lef1 transcription factors in mature CD8 + T cells aberrantly induces genes from non-T cell lineages. Using high-throughput chromosome-conformation-capture sequencing, we demonstrate that Tcf1/Lef1 are important for maintaining three-dimensional genome organization at multiple scales in CD8 + T cells. Comprehensive network analyses coupled with genome-wide profiling of chromatin accessibility and Tcf1 occupancy show the direct impact of Tcf1/Lef1 on the T cell genome is to promote formation of extensively interconnected hubs through enforcing chromatin interaction and accessibility. The integrative mechanisms utilized by Tcf1/Lef1 underlie activation of T cell identity genes and repression of non-T lineage genes, conferring fine control of various T cell functionalities. These findings suggest that Tcf1/Lef1 control global genome organization and help form intricate chromatin-interacting hubs to facilitate promoter-enhancer/silencer contact, hence providing constant supervision of CD8 + T cell identity and function. How CD8 + T cell identity is maintained after exit from the thymus is not fully established. Here the authors use multiomics approaches including Hi-C to show that Tcf1 and Lef1 prevent aberrant expression of lineage-inappropriate genes by organizing three-dimensional genomic architecture in CD8 + T cells.
Interplay of BAF and MLL4 promotes cell type-specific enhancer activation
Cell type-specific enhancers are activated by coordinated actions of lineage-determining transcription factors (LDTFs) and chromatin regulators. The SWI/SNF chromatin remodeling complex BAF and the histone H3K4 methyltransferase MLL4 (KMT2D) are both implicated in enhancer activation. However, the interplay between BAF and MLL4 in enhancer activation remains unclear. Using adipogenesis as a model system, we identify BAF as the major SWI/SNF complex that colocalizes with MLL4 and LDTFs on active enhancers and is required for cell differentiation. In contrast, the promoter enriched SWI/SNF complex PBAF is dispensable for adipogenesis. By depleting BAF subunits SMARCA4 (BRG1) and SMARCB1 (SNF5) as well as MLL4 in cells, we show that BAF and MLL4 reciprocally regulate each other’s binding on active enhancers before and during adipogenesis. By focusing on enhancer activation by the adipogenic pioneer transcription factor C/EBPβ without inducing cell differentiation, we provide direct evidence for an interdependent relationship between BAF and MLL4 in activating cell type-specific enhancers. Together, these findings reveal a positive feedback between BAF and MLL4 in promoting LDTF-dependent activation of cell type-specific enhancers. The SWI/SNF complex BAF and the histone H3K4 methyltransferase MLL4 (KMT2D) play critical roles in enhancer activation, however the interplay between them has remained unclear. Here the authors show that BAF and MLL4 are interdependent in promoting enhancer activation by lineage-determining transcription factors during adipogenesis.
H3K4 mono- and di-methyltransferase MLL4 is required for enhancer activation during cell differentiation
Enhancers play a central role in cell-type-specific gene expression and are marked by H3K4me1/2. Active enhancers are further marked by H3K27ac. However, the methyltransferases responsible for H3K4me1/2 on enhancers remain elusive. Furthermore, how these enzymes function on enhancers to regulate cell-type-specific gene expression is unclear. In this study, we identify MLL4 (KMT2D) as a major mammalian H3K4 mono- and di-methyltransferase with partial functional redundancy with MLL3 (KMT2C). Using adipogenesis and myogenesis as model systems, we show that MLL4 exhibits cell-type- and differentiation-stage-specific genomic binding and is predominantly localized on enhancers. MLL4 co-localizes with lineage-determining transcription factors (TFs) on active enhancers during differentiation. Deletion of Mll4 markedly decreases H3K4me1/2, H3K27ac, Mediator and Polymerase II levels on enhancers and leads to severe defects in cell-type-specific gene expression and cell differentiation. Together, these findings identify MLL4 as a major mammalian H3K4 mono- and di-methyltransferase essential for enhancer activation during cell differentiation. Almost every cell in a human body carries the same genes, but not every cell will express all of these genes as proteins. As different types of cells, such as brain, liver, fat or muscle cells, develop, they will express different genes; or they will express the same genes, but at different times and in different amounts. Enhancers are short stretches of DNA that boost the amount of protein that is produced when a gene is expressed, and they are particularly important for those genes that are expressed differently between cell types. Enhancers bolster expression of a gene by interacting with the DNA nearby. Even genes separated from enhancers by a long stretches of DNA can benefit because the way that DNA is tightly packed inside the nucleus means that two distant sequences can actually end up close together. Proteins called transcription factors will bind to enhancers and recruit the cell’s protein ‘machinery’ required to express nearby genes. Enhancers can be identified by specific chemical marks associated with their DNA, but little is known about the enzymes that leave these marks in mammals. Moreover, it is not clear which genes are influenced by these marks. Now, by examining fat cells and muscle cells as they mature, Lee et al. have found that an enzyme called MLL4 is responsible for adding chemical marks to enhancers in both humans and mice. Further, MLL4 is required both to allow cells to specialize into different cell types, and to boost the expression of genes that are specific to each type of mature cells. Since faulty MLL4 has been implicated in several cancers and developmental defects, the findings of Lee et al. may lead to a better understanding of these diseases.
H3.3/H2A.Z double variant–containing nucleosomes mark 'nucleosome-free regions' of active promoters and other regulatory regions
Gary Felsenfeld and colleagues examine the distribution of H3.3- and H2A.Z-containing nucleosomes genome-wide. They find that regions at transcription start sites of active genes, which were thought to be “nucleosome-free regions,” are enriched for unstable H2A.Z and H3.3 double-variant nucleosomes. These results suggest that double-variant nucleosomes may be important in the regulation of transcription factor access to promoters. To understand how chromatin structure is organized by different histone variants, we have measured the genome-wide distribution of nucleosome core particles (NCPs) containing the histone variants H3.3 and H2A.Z in human cells. We find that a special class of NCPs containing both variants is enriched at 'nucleosome-free regions' of active promoters, enhancers and insulator regions. We show that preparative methods used previously in studying nucleosome structure result in the loss of these unstable double-variant NCPs. It seems likely that this instability facilitates the access of transcription factors to promoters and other regulatory sites in vivo . Other combinations of variants have different distributions, consistent with distinct roles for histone variants in the modulation of gene expression.
Brd4 binds to active enhancers to control cell identity gene induction in adipogenesis and myogenesis
The epigenomic reader Brd4 is an important drug target for cancers. However, its role in cell differentiation and animal development remains largely unclear. Using two conditional knockout mouse strains and derived cells, we demonstrate that Brd4 controls cell identity gene induction and is essential for adipogenesis and myogenesis. Brd4 co-localizes with lineage-determining transcription factors (LDTFs) on active enhancers during differentiation. LDTFs coordinate with H3K4 mono-methyltransferases MLL3/MLL4 (KMT2C/KMT2D) and H3K27 acetyltransferases CBP/p300 to recruit Brd4 to enhancers activated during differentiation. Brd4 deletion prevents the enrichment of Mediator and RNA polymerase II transcription machinery, but not that of LDTFs, MLL3/MLL4-mediated H3K4me1, and CBP/p300-mediated H3K27ac, on enhancers. Consequently, Brd4 deletion prevents enhancer RNA production, cell identity gene induction and cell differentiation. Interestingly, Brd4 is dispensable for maintaining cell identity genes in differentiated cells. These findings identify Brd4 as an enhancer epigenomic reader that links active enhancers with cell identity gene induction in differentiation. Despite being an important cancer drug target, the role of epigenetic reader Brd4 in cell differentiation and development remains unclear. Here, the authors provide evidence that Brd4 plays an important role in adipogenesis and myogenesis by binding to active enhancers to regulate gene expression.
LEF-1 and TCF-1 orchestrate TFH differentiation by regulating differentiation circuits upstream of the transcriptional repressor Bcl6
Follicular helper T cells (T FH cells) are specialized effector CD4 + T cells that help B cells develop germinal centers and memory. Crotty and colleagues show that the transcription factors LEF-1 and TCF-1 are required for early T FH differentiation. Follicular helper T cells (T FH cells) are specialized effector CD4 + T cells that help B cells develop germinal centers (GCs) and memory. However, the transcription factors that regulate the differentiation of T FH cells remain incompletely understood. Here we report that selective loss of Lef1 or Tcf7 (which encode the transcription factor LEF-1 or TCF-1, respectively) resulted in T FH cell defects, while deletion of both Lef1 and Tcf7 severely impaired the differentiation of T FH cells and the formation of GCs. Forced expression of LEF-1 enhanced T FH differentiation. LEF-1 and TCF-1 coordinated such differentiation by two general mechanisms. First, they established the responsiveness of naive CD4 + T cells to T FH cell signals. Second, they promoted early T FH differentiation via the multipronged approach of sustaining expression of the cytokine receptors IL-6Rα and gp130, enhancing expression of the costimulatory receptor ICOS and promoting expression of the transcriptional repressor Bcl6.
Tcf1 preprograms the mobilization of glycolysis in central memory CD8+ T cells during recall responses
The mechanisms underlying the heightened protection mediated by central memory CD8+ T (TCM) cells remain unclear. Here we show that the transcription factor Tcf1 was required in resting TCM cells to generate secondary effector CD8+ T cells and to clear pathogens during recall responses. Recall stimulation of CD8+ TCM cells caused extensive reprogramming of the transcriptome and chromatin accessibility, leading to rapid induction of glycolytic enzymes, cell cycle regulators and transcriptional regulators, including Id3. This cluster of genes did not require Tcf1 in resting CD8+ TCM cells, but depended on Tcf1 for optimal induction and chromatin opening in recall-stimulated CD8+ TCM cells. Tcf1 bound extensively to these recall-induced gene loci in resting CD8+ TCM cells and mediated chromatin interactions that positioned these genes in architectural proximity with poised enhancers. Thus, Tcf1 preprogramed a transcriptional program that supported the bioenergetic and proliferative needs of CD8+ TCM cells in case of a secondary challenge.Xue and colleagues show that the transcription factor Tcf1 preprograms a transcriptional program that supports the bioenergetic and proliferative needs of CD8+ central memory T cells in case of a secondary challenge.
Enhancer priming by H3K4 methyltransferase MLL4 controls cell fate transition
Transcriptional enhancers control cell-type–specific gene expression. Primed enhancers are marked by histone H3 lysine 4 (H3K4) mono/di-methylation (H3K4me1/2). Active enhancers are further marked by H3K27 acetylation (H3K27ac). Mixed-lineage leukemia 4 (MLL4/KMT2D) is a major enhancer H3K4me1/2 methyltransferase with functional redundancy with MLL3 (KMT2C). However, its role in cell fate maintenance and transition is poorly understood. Here, we show in mouse embryonic stem cells (ESCs) that MLL4 associates with, but is surprisingly dispensable for the maintenance of, active enhancers of cell-identity genes. As a result, MLL4 is dispensable for cell-identity gene expression and self-renewal in ESCs. In contrast, MLL4 is required for enhancer-binding of H3K27 acetyltransferase p300, enhancer activation, and induction of cell-identity genes during ESC differentiation. MLL4 protein, rather than MLL4-mediated H3K4 methylation, controls p300 recruitment to enhancers. We also show that, in somatic cells, MLL4 is dispensable for maintaining cell identity but essential for reprogramming into induced pluripotent stem cells. These results indicate that, although enhancer priming by MLL4 is dispensable for cell-identity maintenance, it controls cell fate transition by orchestrating p300-mediated enhancer activation.
Risk management in POCT blood glucose monitoring: FMEA approach aligned with ISO 15189:2022
Point-of-care testing (POCT) blood glucose meters provide rapid and convenient monitoring for clinical care and chronic disease management. However, their accuracy is often compromised by risks associated with personnel, equipment, and procedural inconsistencies. This study systematically assesses these risks using the Failure Mode and Effects Analysis (FMEA) method and proposes control measures aligned with ISO 15189:2022 standards. This study evaluated the risks associated with POCT blood glucose meters in clinical laboratory settings, encompassing the pre-analytical, analytical, and post-analytical phases. A multidisciplinary team employed FMEA to identify potential failure modes and their impacts. A risk matrix classified risks based on probability and severity, with \"unacceptable\" risks prompting targeted control measures. A follow-up assessment conducted three months later evaluated the effectiveness of these measures through feedback collection and quality control data analysis, ensuring effective risk mitigation in POCT practices. The risk assessment identified distinct issues at each hospital: Peking University Shenzhen Hospital faced significant risks related to inadequate performance verification prior to hospital entry, insufficient personnel training, and data management problems, while Wuhan Third Hospital primarily encountered challenges with inadequate training and insufficient calibration and inadequate quality control. Control measures implemented at Peking University Shenzhen Hospital included stringent validation protocols, comprehensive training systems, and automated data management. At Wuhan Third Hospital, the focus was on enhancing training oversight and establishing rigorous quality control measures and calibration Schedule. These interventions effectively reduced unacceptable risks and improved the safety and reliability of the monitoring process. Integrating FMEA with ISO 15189:2022 provides a structured approach for identifying and mitigating risks in the use of POCT blood glucose meters. Implementing tailored measures significantly enhances POCT accuracy and reliability, offering clinical institutions effective strategies to improve quality and ensure better patient outcomes.
Predicting CTCF-mediated chromatin interactions by integrating genomic and epigenomic features
The CCCTC-binding zinc-finger protein (CTCF)-mediated network of long-range chromatin interactions is important for genome organization and function. Although this network has been considered largely invariant, we find that it exhibits extensive cell-type-specific interactions that contribute to cell identity. Here, we present Lollipop, a machine-learning framework, which predicts CTCF-mediated long-range interactions using genomic and epigenomic features. Using ChIA-PET data as benchmark, we demonstrate that Lollipop accurately predicts CTCF-mediated chromatin interactions both within and across cell types, and outperforms other methods based only on CTCF motif orientation. Predictions are confirmed computationally and experimentally by Chromatin Conformation Capture (3C). Moreover, our approach identifies other determinants of CTCF-mediated chromatin wiring, such as gene expression within the loops. Our study contributes to a better understanding about the underlying principles of CTCF-mediated chromatin interactions and their impact on gene expression. CTCF mediates long-range chromatin interactions which are important for genome organization and function. Here, the authors demonstrate that CTCF-mediated interactome exhibits extensive plasticity and present Lollipop, a machine-learning framework which predicts CTCF-mediated long-range interactions using genomic and epigenomic features.