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Yang, E.

Publications and source records attributed to Yang, E..

At least 37 records · Page 2Linked to original sources

Cryptic splicing in synaptic and membrane excitability genes links TDP-43 loss to neuronal dysfunction

TDP-43 pathology is a defining pathological hallmark of multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). A major feature of TDP-43 pathology is its nuclear depletion, leading to the aberrant inclusion of cryptic exons during RNA splicing. STMN2 and UNC13A have emerged as prominent TDP-43 splicing targets, but the broader impact of TDP-43-dependent cryptic splicing on neuronal function remains unclear. Here, we report new TDP-43 splicing targets critical for membrane excitability and synaptic function, including KALRN, RAP1GAP, SYT7 and KCNQ2. Using human stem cell-derived neurons, we show that TDP-43 reduction induces cryptic splicing and downregulation of these genes, resulting in impaired excitability and synaptic transmission. In postmortem brains from patients with FTD, these cryptic splicing events occur selectively in neurons with TDP-43 pathology. Importantly, suppressing individual cryptic splicing events using antisense oligonucleotides partially restores neuronal function, and combined targeting almost fully rescues the synaptic deficit caused by TDP-43 loss. Together, our findings provide evidence that cryptic splicing in these synaptic and membrane excitability genes is not only a downstream marker but instead a direct driver of neuronal dysfunction, establishing a mechanistic link between TDP-43 pathology and neurodegeneration in ALS and FTD.

neuroscience↗

Autonomous neuronal resilience under metabolic stress highlights fundamental differences between hESC and hiPSC-derived neurons

Human induced pluripotent stem cells (hiPSCs) aim to replicate the developmental and functional capacity of human embryonic stem cells (hESCs). Here, we identify neuronal resilience under metabolic stress as a critical parameter for benchmarking equivalence. Without medium replenishment, hESC-derived cortical neurons underwent neural resurrection--a spontaneous recovery marked by increased cell density, preserved morphology, and sustained calcium signaling and mitochondrial function for 23 days. In contrast, hiPSC-derived neurons survived but showed reduced adaptability, deteriorating within 10-14 days despite higher initial densities. Our findings introduce a physiologically relevant assay for stress resilience and highlight the need to optimize hiPSC differentiation to achieve hESC-like performance, improving their translational value for disease modeling and regenerative therapy.

cell biology↗

Common Signatures of Neutrophils in Diverse Disease Conditions

Neutrophils are traditionally recognized for their pro-inflammatory roles. However, accumulating evidence has begun to highlight the plasticity of transcriptional states of neutrophils during pathological insults. Whether such unconventional neutrophils may share commonality across diverse disease conditions is incompletely understood. Here, we systematically profile over 500,000 neutrophils in key immune compartments and disease-inflicted tissues of the mouse models of metabolic disorder, autoimmunity, tissue damage, peripheral cancers, and intracranial gliomas. Of importance, we observe two distinct neutrophil clusters with unique immune features. The first cluster, characterized by Cd274, Vegfa, and antigen presentation, is highly enriched within the diseased tissues. In contrast, the second cluster with elevated Cd244 and type 2 immune response but reduced maturation markers primarily emerges in the peripheral blood and spleens of specific disease scenarios. These results have elucidated the common signatures of neutrophils in response to various pathological conditions, providing a valuable reference for diagnostic and therapeutic applications.

immunology↗

Transposable elements drive species-specific and tissue-specific transcriptomes in human development

BackgroundTransposable elements (TEs) are an abundant and crucial regulatory resource in the human genome. Serving as alternative promoters, TEs can be reactivated and produce TE-initiated transcripts, which play importance roles in early development and differentiated tissues. However, the prevalence and function of TE-initiated transcription in human development are poorly characterized. ResultsWe identified 12,918 TE-initiated transcripts across 40 human body sites and embryonic stem cells. Among TE-initiated transcripts, 80% were activated in a tissue-specific manner. TEs with tissue-specific transcription factor binding motifs were enriched in particular tissues. Additionally, approximately half of TE-derived TSSs were primates-specific. Notably, 375 primates-specific TE-derived TSSs were found to create novel tissue-specific gene expression patterns during evolution. ConclusionsOur results characterize the global profile of TE-initiated transcription and enhance our understanding of TE contribution to the primate-specific gene regulatory networks in human development.

bioinformatics↗

TEITbase: a database for transposable element (TE)-initiated transcripts in human cancers

Transposable elements (TEs) are abundant and play a crucial regulatory role in the human genome. Functioning as alternative promoters, TEs can be reactivated to produce TE-initiated transcripts. In cancer, TE-initiated transcription may upregulate oncogene expression and generate novel tumor-specific antigens, which could serve as potential targets for immunotherapy. However, there remains a lack of comprehensive databases that systematically investigate TE-initiated transcription in cancer. To address this gap, we developed a deep learning-based method and identified 38,995 TE-initiated transcripts across 33 cancer types from The Cancer Genome Atlas. Among these, 6,203 were tumor-specific expressed and strongly associated with the tumorigenesis. Using these annotations, we created TEITbase (http://teitbase.medbioinfo.org/), a user-friendly database that provides researchers with tools to conduct various downstream analyses and investigations for TE-initiated transcripts, including 546 novel onco-exaptation events. The establishment of TEITbase provides new insights into transcriptional reprogramming in cancers and enables further investigation into the potential roles of TE-initiated transcripts in cancer diagnostics and therapeutic strategies.

bioinformatics↗

In situ profiling of plasma cell clonality with image-based single-cell transcriptomics

Image-based single-cell transcriptomics can identify diverse cell types within intact tissues. However, in adaptive immunity, V(D)J recombination generates unique immune receptors within cells of the same type, leading to important functional variation that is not yet defined by these methods. Here we introduce B-cell-receptor multiplexed error robust fluorescence in situ hybridization (BCR-MERFISH), which distinguishes plasma cell clones based on V-gene usage in combination with transcriptome profiling. We demonstrate that BCR-MERFISH accurately identifies V-gene usage in cell culture and in mice with restricted or native plasma cell diversity. We then use BCR-MERFISH to reveal the microbiota-dependent changes in plasma cell abundance, clonal diversity, and public clonotype usage in the mouse gut and the non-uniform distribution of plasma cell clones along the mouse ileum. As tissue context is an essential modulator of plasma cell dynamics, we anticipate that BCR-MERFISH may offer new insights into a wide range of immunological questions.

immunology↗

Improving Thermal and Gastric Stability of Phytase via pH Shifting and Coacervation: A Demonstration of Bayesian Optimization for Rapid Process Tuning

Phytase (phyA) breaks down phytate, which can help with nutrient absorption in a plant-based seed diet or high-phytate food. Unfortunately, it is prone to denaturation at food preparation temperatures and is easily inactivated by pepsin during gastric digestion. To protect phyA for use in high-temperature processes (100 {degrees}C) and gastric digestion, chitosan (CS) was used to complex phyA. Bayesian optimization, a machine learning technique, was used to demonstrate how to expedite the optimization process. Thermal stability of the optimized complex increased from 20% (Control: phyA in the native state) up to 74% at 4:1 CS to phyA (CS-phyA) complex and 52% at the 1:1 CS-phyA complex as measured by phytase activity assay. Chitosan complexation also improved the retention of enzyme activity after thermal and gastric digestion by 13-fold, retaining residual activity at 40% for the 4:1 CS to phyA and 22% for the 1:1 CS-phyA complexes compared to the enzyme itself, which only retained 3% residual activity. Molecular docking and circular dichroism were used to investigate the underlying interaction mechanism between CS and phyA and the secondary structure of the enzyme after heat treatment. Confocal laser scanning microscopy (CLSM) and scanning electron microscopy (SEM) confirmed the complexation of phyA with CS and revealed complex morphology. With improved enzyme stability, there is great potential for efficiently expanding phytase applications in a high plant-based seed food matrix. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=121 SRC="FIGDIR/small/649602v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@889b76org.highwire.dtl.DTLVardef@969ed3org.highwire.dtl.DTLVardef@953e55org.highwire.dtl.DTLVardef@2f5864_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIThermal stability of phytase improved from 20% to 74% using chitosan C_LIO_LIpH shifting increased enzyme complexation efficiency and thermal stability (100 {degrees}C) C_LIO_LIBayesian optimization (BO) is a promising optimization tool for complexation conditions C_LI

biochemistry↗

Small non-coding RNAs encapsulating mammalian cells fuel innate immunity

Cell surface RNAs, notably glycoRNAs, have been reported, yet the exact surface RNA compositions in different cell types remain unclear. Here, we introduce a comprehensive suite of methodologies for imaging, profiling, quantifying, and exploring the biological functions of specific surface RNAs. Utilizing these techniques, we have identified diverse non-coding RNAs present on mammalian cell surfaces. We confirm the membrane anchorage and quantify the abundance of several representative RNAs on human primary cells. Notably, we discover a significant prevalence of Y RNAs on the surfaces of human monocytes and B cells. We find that these Y RNAs on human monocyte surfaces enrich extracellular histones, regulating interleukin-6 (IL-6) gene expression and subsequent protein secretion upon histone stimulation via NF-{kappa}B and AP-1 activation. Our study not only presents effective approaches for investigating surface RNAs, but also uncovers a previously unrecognized immune activation pathway mediated by surface Y RNAs on monocytes. In briefA comprehensive profiling of surface RNAs across diverse mammalian blood cell types unveil abundant Y RNAs on the surface of human monocytes. Subsequent investigations uncover functional roles of surface Y RNAs on monocytes as "immune sentinel" to enrich extracellular histones, revealing a previously unknown pathway of innate immune activation. HighlightsNovel methodologies for cell surface RNA mapping, validation and functional interrogation. Sequencing of surface RNAs across various mammalian blood cell types offers detailed maps of surface RNAs. Abundant Y RNAs localize on human monocyte surfaces and capture extracellular histones released by adjacent ruptured cells. Surface Y RNAs enrich extracellular histones to facilitate transcription and secretion of IL-6 through NF-{kappa}B and AP-1 activation.

molecular biology↗

Multi-omic landscape of human gliomas from diagnosis to treatment and recurrence

Gliomas are among the most lethal cancers, with limited treatment options. To uncover hallmarks of therapeutic escape and tumor microenvironment (TME) evolution, we applied spatial proteomics, transcriptomics, and glycomics to 670 lesions from 310 adult and pediatric patients. Single-cell analysis shows high B7H3+ tumor cell prevalence in glioblastoma (GBM) and pleomorphic xanthoastrocytoma (PXA), while most gliomas, including pediatric cases, express targetable tumor antigens in less than 50% of tumor cells, potentially explaining trial failures. Longitudinal samples of isocitrate dehydrogenase (IDH)-mutant gliomas reveal recurrence driven by tumor-immune spatial reorganization, shifting from T-cell and vasculature-associated myeloid cell-enriched niches to microglia and CD206+ macrophage-dominated tumors. Multi-omic integration identified N-glycosylation as the best classifier of grade, while the immune transcriptome best predicted GBM survival. Provided as a community resource, this study opens new avenues for glioma targeting, classification, outcome prediction, and a baseline of TME composition across all stages.

cancer biology↗

Core-Shell Hydrogel System to Protect the Enzyme Activity of Phytase from Environmental Stress

Fortification of phytase from Aspergillus niger (phyA) in a vegetarian diet is a practical strategy to solve mineral deficiencies induced by the presence of phytate. To protect phyAs activity and retention from environmental stress such as heat and acidic conditions, we evaluated the use of a core-shell hydrogel bead, where the core is composed of a phyA-chitosan complex, and the shell is formed by cross-linking alginate with {kappa}-carrageenan. The phyA loading capacity is 52.2%, with high encapsulation efficiency (82.6%). When forming the hydrogel beads, a needle diameter of 0.5 mm can create a 2.5 mm bead. The beads were found to remain intact during dehydration under a vacuum at 30 . The formed hydrogel beads protected 79.7% of the phyA activity after heating at 100 {degrees}C for 12 min. The beads protected their cargo against salt, pH changes, and protease. These results suggest that core-shell beads are suitable for protecting enzyme activity against various processing stresses, which makes them useful as a delivery method for phytase in food applications.

biochemistry↗

Massively parallel assessment of designed protein solution properties using mass spectrometry and peptide barcoding

Library screening and selection methods can determine the binding activities of individual members of large protein libraries given a physical link between protein and nucleotide sequence, which enables identification of functional molecules by DNA sequencing. However, the solution properties of individual protein molecules cannot be probed using such approaches because they are completely altered by DNA attachment. Mass spectrometry enables parallel evaluation of protein properties amenable to physical fractionation such as solubility and oligomeric state, but current approaches are limited to libraries of 1,000 or fewer proteins. Here, we improved mass spectrometry barcoding by co-synthesizing proteins with barcodes optimized to be highly multiplexable and minimally perturbative, scaling to libraries of >5,000 proteins. We use these barcodes together with mass spectrometry to assay the solution behavior of libraries of de novo-designed monomeric scaffolds, oligomers, binding proteins and nanocages, rapidly identifying design failure modes and successes.

biochemistry↗

Multiple Types of Context-Specific Brain Causal Regulatory Networks and their Applications to Autism Spectrum Disorder

One of the primary goals of systems biology is to understand how different cell types are regulated at various developmental stages and how dysregulation in these cells contributes to disease. With advances in high-throughput omics profiling technologies, vast amounts of both bulk tissue and single-cell data have been generated to study cellular regulation. To investigate the types of gene-gene regulatory interactions that can be uncovered from bulk versus single-cell profiling data, we constructed multiple context-specific brain gene regulatory networks using brain bulk and single-cell RNA-seq datasets and applied two distinct computational methods: an integrative Bayesian Network (BN) and a deep learning model, Geneformer. A total of 39 networks were generated, comprising 13 brain region-specific Bayesian networks from bulk RNA-seq data (bulk_BNs), 13 cell-type and developmental stage-specific Bayesian networks, and 13 corresponding Geneformer-based networks from scRNA-seq data (sc_BNs and sc_GFs, respectively). We compared these networks in terms of their topological features, biological pathway regulation, and known regulatory relationships among disease-related genes. Our analysis revealed distinct network properties driven by data source type (bulk vs. single-cell RNA-seq) and network inference method (integrative Bayesian Network vs. deep learning Geneformer). Neurodegenerative disease-related pathways were co-regulated in bulk_BNs, while sc_BNs and sc_GFs captured pathways associated with neuroactive ligand-receptor interactions. To demonstrate the utility of these networks, we leveraged them to investigate potential disease mechanisms of Autism Spectrum Disorder (ASD). We found that ASD risk genes were enriched among hub genes common across networks but were more frequently hubs in context-specific networks, underscoring the significance of inhibitory interneurons during early developmental stages in ASD. Additionally, we showed that these networks could effectively recapitulate context-specific ASD gene signatures. In summary, this study highlights the complementary value of integrating multiple data types through different computational approaches to advance our understanding of disease-related molecular mechanisms, such as those involved in ASD. Our findings provide a framework for using context-specific gene regulatory networks to identify disease-causal genes and key regulators of signaling pathways, potentially guiding future therapeutic strategies.

bioinformatics↗

The miR156/SPL9 interaction mode regulates the anthocyanin accumulation in potato

Anthocyanins are an essential class of flavonoids that represent a large group of plant secondary metabolites. microRNAs (miRNAs) can target TFs related to anthocyanin synthesis and inhibit their expression, thereby affecting the expression level of key downstream structural genes and ultimately regulating the synthesis and accumulation of anthocyanins in plants. Nevertheless, the regulatory function of miR156a in anthocyanin synthesis, especially in potatoes, has yet to be investigated. In this study, the miR156a and its target gene StSPL9 were screened and analyzed from small RNA sequencing, degradome sequencing and transient expression assay. The function of miR156a in anthocyanin synthesis of potato tuber was investigated. Overexpression of miR156a (OE-miR156a) in potato tubers promoted anthocyanin synthesis while concurrently reducing flavonoid synthesis compared with wild-type (WT) potatoes. The miR156a-silenced tubers (STTM-miR156a) achieved using short tandem target mimics (STTM) contained significantly lower anthocyanin content and increased flavonoid accumulation compared to WT and OE-miR156a. Notably, overexpression of StSPL9 in potato yielded identical results. The relative expression levels of the anthocyanin-related structural genes PAL, 4CL, CHS, CHI, F3H, DFR, and UFGT in STTM-miR156a transgenic potato tubers showed the opposite trend to that observed in OE-miR156a potato tubers, as demonstrated by RNA sequencing and quantitative real-time PCR (qRT-PCR). The integrated analysis of the transcriptome and metabolome revealed that the accumulation of flavonoids and flavonols in STTM-miR156a was significantly increased than in the wild type, whereas the contents of anthocyanins and phenolic acids were notably reduced. Further analysis showed that the expression of CHS, FG2, BEATH, and CYP75A were up-regulated in STTM-miR156a, and HCT was downregulated, which resulted in a reduced accumulation of methyl 4-caffeoylquinate, a phenolic acid metabolite. Therefore, it is demonstrated that miR156a indirectly modulates the expression of CHS, BEATH, CYP75A, HCT, and FG2 by targeting and degrading its target gene StSPL9 and other SPL genes, thus influencing anthocyanin accumulation in potato tuber. This study provides valuable insights into the complex regulatory network governing anthocyanin biosynthesis in Solanum species.

molecular biology↗

Functional diversification of the MADS-box gene family in fine-tuning the dimorphic transition of Talaromyces marneffei

The dynamic transition between yeast and hypha is a crucial adaptive mechanism for many human pathogenic fungi, including Talaromyces marneffei, a thermodimorphic fungus responsible for causing fatal talaromycosis. In the current study, we elucidated the roles of the MADS-box gene family in fine-tuning the dimorphic transition in T. marneffei through functional diversification. Utilizing adaptive laboratory evolution, we identified an enrichment of MADS-box genes in mutants deficient in yeast-to- mycelium transition. Further phylogenetic analyses revealed a significant expansion of MADS-box gene family within T. marneffei. Functional genetic manipulations revealed that overexpression of mads9, as opposed to its paralog mads10, effectively impeded the hyphal-to-yeast transition. Through integrating RNA sequencing (RNA-seq) and chromatin immunoprecipitation sequencing (ChIP-seq), we demonstrated that mads9 and the previously characterized madsA modulated the rate of hyphal-to-yeast conversion by orchestrating metabolic pathways and membrane dynamics, respectively, with mutual regulation via shared target genes. Our findings illuminated the distinct functional roles of the MADS-box family in regulating dimorphic transitions in T. marneffei, offering new insights into fungal adaptability.

microbiology↗

Species-specific circular RNA circDS-1 enhances adaptive evolution in Talaromyces marneffei through regulation of dimorphic transition and virulence

Thermal adaptability is a crucial characteristic for mammalian pathogenic fungi that originally inhabit natural ecosystems. Thermally dimorphic fungi have evolved a unique ability to respond to host body temperature by shifting from mycelium to yeast. The high similarity of protein-coding genes between these fungi and their relatives suggests the indispensable but often overlooked roles of non-coding elements in fungal thermal adaptation. Here, we systematically delineated the landscape of full-length circRNAs in both mycelial and yeast conditions of Talaromyces marneffei, a typical thermally dimorphic fungus causing fatal Talaromycosis, by optimizing an integrative pipeline for circRNA detection utilizing next- and third-generation sequencing. We found T. marneffei circRNA demonstrated features such as shorter length, lower abundance, and circularization-biased splicing. We then identified and validated that circDS-1, independent of its parental gene, promotes the hyphae-to-yeast transition, maintains yeast morphology, and is involved in virulence regulation. Further analysis and experiments among Talaromyces confirmed that the generation of circDS-1 is driven by a T. marneffei-specific region in the flanking intron of circDS-1. Together, our findings not only provide fresh insights into the role of circRNA in fungal thermal adaptation but also reveal a novel molecular mechanism for the adaptive evolution of functional circRNAs derived from intronic mutations. Author SummaryIt is an essential characteristic for human pathogens to survive under human body temperature, which is obviously higher than environmental temperature. The morphology transformation between mycelia and yeasts of thermally dimorphic fungi are tightly associated with temperature. The limited divergences of protein-coding genes among their closest relatives are not able to explain these fungi thermal dimorphism. CircRNAs are non-coding RNAs that distribute ubiquitously across eukaryotes. However, lower eukaryotes have been relatively neglected in circRNA research, either from the biological function level or from the evolutionary level. Our study focused on the typical thermally dimorphic fungus, Talaromyces marneffei. We combined next-generation and third-generation sequencing technologies to map the full-length circRNA profile in both the saprophytic mycelial and pathogenic yeast forms of T. marneffei to identify functional circRNAs. Gene manipulation experiments were performed to evaluate the functional impact of the target circRNA circDS-1. We uncovered unique characteristics of T. marneffei circRNAs, such as shorter lengths, reduced abundance, and a preference for circularization-biased splicing events. CircDS-1, which functions independently from its host gene to promote the transition from hyphae to yeast form, maintain yeast morphology, and modulate virulence. Our study not only offers fresh perspectives on the role of circRNAs in fungal thermal adaptation, but also enhances our understanding of the adaptive evolution of pathogenic fungi as they transform from environmental to host environments.

microbiology↗

ImmunoStruct: Integration of protein sequence, structure, and biochemical properties for immunogenicity prediction and interpretation

Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but identifying immunogenic epitopes is challenging. The vast majority of prediction methods only use amino acid sequence information, and do not incorporate wide-scale structure data and biochemical properties across each peptide-MHC. We present ImmunoStruct, a deep-learning model that integrates sequence, structural, and biochemical information to predict multi-allele class-I peptide-MHC immunogenicity. By leveraging a multimodal dataset of[~] 27,000 peptide-MHCs, we demonstrate that ImmunoStruct improves immunogenicity prediction performance and interpretability beyond existing methods, across infectious disease epitopes and cancer neoepitopes. We further show strong alignment with in vitro assay results for a set of SARS-CoV-2 epitopes, as well as strong performance in peptide-MHC-based cancer patient survival prediction. Overall, this work also presents a new architecture that incorporates equivariant graph processing and multimodal data integration for the long standing task in immunotherapy.

immunology↗

Cell-type-informed genotyping of mosaic focal epilepsies reveals cell-autonomous and non-cell-autonomous disease-associated transcriptional programs

Recent studies demonstrate growing roles for genetic mosaicism in neurodevelopmental and neuropsychiatric disorders, with the paradigm being drug-resistant pediatric focal epilepsy related to activating somatic variants in the PI3K-mTOR pathway. While identifying the genotype-associated changes at the single-cell level is fundamental to understanding disease pathophysiology, this remains technically challenging in human tissue samples with existing methods. Here, we performed single-nucleus RNA-sequencing (snRNA-seq) of 20 focal cortical dysplasia (FCD) samples removed surgically for treatment of drug-resistant epilepsy, and 10 non-FCD controls, and we developed a new approach, Genotyping Of Transcriptomes Enhanced with Nanopore sequencing (GO-TEN), that combines targeted complementary (c)DNA sequencing with snRNA-seq to perform concurrent single-nucleus genotyping and transcriptional analysis. We find that mosaic pathogenic variants in FCD do not produce a detectable novel cell identity, but instead we observe conserved cell types present both in FCD cases and non-FCD control specimens. Similarly, GO-TEN analysis shows that most pathogenic variant-carrying cells have well-differentiated neuronal or glial identities and are enriched for layer II-III excitatory neurons. We identify cell-intrinsic disruption of glutamate and GABA-A signaling pathways in variant-carrying neurons and altered intercellular signaling, making potential mechanisms for epileptogenesis in FCD. In summary, by addressing genotype-specific changes in mosaic epilepsy-associated lesions, our study highlights new potential disease mechanisms and therapeutic targets.

genetics↗

GATA6 regulates WNT and BMP programs to pattern precardiac mesoderm during the earliest stages of human cardiogenesis

Haploinsufficiency for GATA6 is associated with congenital heart disease (CHD) with variable comorbidity of pancreatic or diaphragm defects, although the etiology of disease is not well understood. Here, we used cardiac directed differentiation from human embryonic stem cells (hESCs) as a platform to study GATA6 function during early cardiogenesis. GATA6 loss-of-function hESCs had a profound impairment in cardiac progenitor cell (CPC) specification and cardiomyocyte (CM) generation due to early defects during the mesendoderm and lateral mesoderm patterning stages. Profiling by RNA-seq and CUT&RUN identified genes of the WNT and BMP programs regulated by GATA6 during early mesoderm patterning. Furthermore, interactome analysis detected GATA6 binding with developmental transcription factors and chromatin remodelers suggesting cooperative regulation of cardiac lineage gene accessibility. We show that modulating WNT and BMP inputs during the first 48 hours of cardiac differentiation is sufficient to partially rescue CPC and CM defects in GATA6 heterozygous and homozygous mutant hESCs. This study provides evidence of the regulatory functions for GATA6 directing human precardiac mesoderm patterning during the earliest stages of cardiogenesis to further our understanding of haploinsufficiency causing CHD and the co-occurrence of cardiac and other organ defects caused by human GATA6 mutations.

developmental biology↗