Biology subjects

Wang, D.

Publications and source records attributed to Wang, D..

At least 451 records · Page 25Linked to original sources

bioRxiv2023

Fast And Accurate Population Level Transcranial Magnetic Stimulation via Low-Rank Probabilistic Matrix Decomposition (PMD)

Transcranial magnetic stimulation (TMS) is used to study brain function and treat mental health disorders. During TMS, a coil placed on the scalp induces an E-field in the brain that modulates its activity. TMS is known to stimulate regions that are exposed to a large E-field. Clinical TMS protocols prescribe a coil placement based on scalp landmarks. There are inter-individual variations in brain anatomy that result in variations in the TMS-induced E-field at the targeted region and its outcome. These variations across individuals could in principle be minimized by developing a large database of head subjects and determining scalp landmarks that maximize E-field at the targeted brain region while minimizing its variation using computational methods. However, this approach requires repeated execution of a computational method to determine the E-field induced in the brain for a large number of subjects and coil placements. We developed a probabilistic matrix decomposition-based approach for rapidly evaluating the E-field induced during TMS for a large number of coil placements. Our approach can determine the E-field induced in over 1 Million coil placements in 9.5 hours, in contrast, to over 5 years using a bruteforce approach. After the initial set-up stage, the E-field can be predicted over the whole brain within 2-3 milliseconds and to 2% accuracy. We tested our approach in over 200 subjects and achieved an error of < 2% in most and < 3.5% in all subjects. We will present several examples of bench-marking analysis for our tool in terms of accuracy and speed across and its applicability for population level optimization of coil placement. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=125 HEIGHT=200 SRC="FIGDIR/small/527758v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@1650e2dorg.highwire.dtl.DTLVardef@185e477org.highwire.dtl.DTLVardef@15a4376org.highwire.dtl.DTLVardef@10304fa_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIA method for practical E-field informed population-level TMS coil placement strategies is developed. C_LIO_LIThis algorithm enables the determination of E-field informed optimal coil placement in seconds enabling its use for close-loop and on-the-fly reconfiguration of TMS. C_LIO_LIAfter the initial set-up stage of less than 10 hours, the E-field can be predicted for any coil placement across the whole brain within in 2-3 milliseconds. C_LI

neuroscience↗

bioRxiv2023

On Pre-trained Language Models for Antibody

AO_SCPLOWBSTRACTC_SCPLOWAntibodies are vital proteins offering robust protection for the human body from pathogens. The development of general protein and antibody-specific pre-trained language models both facilitate antibody prediction tasks. However, few studies comprehensively explore the representation capability of distinct pre-trained language models on different antibody problems. Here, to investigate the problem, we aim to answer the following key questions: (1) How do pre-trained language models perform in antibody tasks with different specificity? (2) How many benefits will the model gain if we introduce the specific biological mechanism to the pre-training process? (3) Do the learned antibody pre-trained representations make sense in real-world antibody problems, like drug discovery and immune process understanding? Previously, no benchmark available largely hindered the study to answer these questions. To facilitate the investigation, we provide an AnTibody Understanding Evaluation (ATUE) benchmark. We comprehensively evaluate the performance of protein pre-trained language models by empirical study along with conclusions and new insights. Our ATUE and code is released at https://github.com/dqwang122/EATLM.

bioinformatics↗

bioRxiv2023

Lumbar endplate microfracture injury induces Modic-like changes, intervertebral disc degeneration and spinal cord sensitization-An In Vivo Rat Model

BACKGROUND CONTEXT: Endplate (EP) injury plays critical roles in painful IVD degeneration since Modic changes (MCs) are highly associated with pain. Models of EP microfracture that progress to painful conditions are needed to better understand pathophysiological mechanisms and screen therapeutics. PURPOSE: Establish in vivo rat lumbar EP microfracture model with painful phenotype. STUDY DESIGN/SETTING: In vivo rat study to characterize EP-injury model with characterization of IVD degeneration, vertebral bone marrow remodeling, spinal cord sensitization, and pain-related behaviors. METHODS: EP-driven degeneration was induced in 5-month-old male Sprague-Dawley rats L4-5 and L5-6 IVDs through the proximal vertebral body injury with intradiscal injections of TNF (n=7) or PBS (n=6), compared to Sham (surgery without EP-injury, n=6). The EP-driven model was assessed for IVD height, histological degeneration, pain-like behaviors (hindpaw von Frey and forepaw grip test), lumbar spine MRI and CT analyses, and spinal cord substance P (SubP). RESULTS: EP injuries induced IVD degeneration with decreased IVD height and MRI T2 values. EP injury with PBS and TNF both showed MC type1-like changes on T1 and T2-weighted MRI, trabecular bone remodeling on CT, and damage in cartilage EP adjacent to the injury. EP injuries caused significantly decreased paw withdrawal threshold and reduced grip forces, suggesting increased pain sensitivity and axial spinal discomfort. Spinal cord dorsal horn SubP was significantly increased, indicating spinal cord sensitization. CONCLUSIONS: EP microfracture can induce crosstalk between vertebral bone marrow, IVD and spinal cord with chronic pain-like conditions. CLINICAL SIGNIFICANCE: This rat EP microfracture model of IVD degeneration was validated to induce MC-like changes and pain-like behaviors that we hope will be useful to screen therapies and improve treatment for EP-drive pain.

pathology↗

bioRxiv2023

Rapid PTEFb-dependent transcriptional reorganization underpins the glioma adaptive response to radiotherapy

AO_SCPLOWBSTRACTC_SCPLOWDynamic regulation of gene expression is fundamental for cellular adaptation to exogenous stressors. PTEFb-mediated pause-release of RNA polymerase II (Pol II) is a conserved regulatory mechanism for synchronous transcriptional induction in response to heat shock, but this pro-survival role has not been examined in the applied context of cancer therapy. Using model systems of pediatric high-grade glioma, we show that rapid genome-wide reorganization of active chromatin facilitates PTEFb-mediated nascent transcriptional induction within hours of exposure to therapeutic ionizing radiation. Concurrent inhibition of PTEFb disrupts this chromatin reorganization and blunts transcriptional induction, abrogating key adaptive programs such as DNA damage repair and cell cycle regulation. This combination demonstrates a potent, synergistic therapeutic potential agnostic of glioma subtype, leading to a marked induction of tumor cell apoptosis and prolongation of xenograft survival. These studies reveal a central role for PTEFb underpinning the early adaptive response to radiotherapy, opening new avenues for combinatorial treatment in these lethal malignancies.

cancer biology↗

bioRxiv2023

Single-cell transcriptomic landscape deciphers novel olfactory neuroblastoma subtypes and intratumoral heterogeneity

Olfactory neuroblastoma (ONB) is an uncommon malignant tumor known to originate from the olfactory epithelial. The complex tumor ecosystem of this pathology remained unclear. Here, we explored the cellular components with ONB tumors based on scRNA profiles of 96,325 single-cells derived from 10 tumors and 1 olfactory mucosa sample. We discovered 11 major cell types, including 6 immune cell, 3 stromal cell subtypes and epithelial cluster in the tumor microenvironment (TME), and identified 5 common expression programs from malignant epithelial cells. We analyzed subclusters of TME and the interactions among different cell types in the TME. An innovative three-classification of ONB was established via scRNA analysis. Markers for categorizing tumor samples into new subtypes were elucidated. Different responses towards certain chemotherapy regimens could be inferred according to the molecular features of three tumor types. Relative abundance of immunosuppressive TAMs indicated the benefits of immunotherapies targeting myeloid cells.

cancer biology↗

bioRxiv2023

Heritable maize microbiomes contribute to local adaptation and host stress resilience

Beneficial interactions with microorganisms are pivotal for crop performance and resilience. However, it remains unclear how heritable the microbiome is with respect to the host plant genotype and to what extent host genetic mechanisms can modulate plant-microbe interactions in the face of environmental stress. Here, we surveyed the root and rhizosphere microbiome of 129 accessions of locally adapted Zea mays, sourced from diverse habitats and grown under control and different stress conditions. We quantified treatment and host genotype effects on the microbiome. Plant genotype and source environment were predictive of microbiome composition. Genome wide association analysis identified host genetic variants linked to both rhizosphere microbiome composition and source environment. We identified transposon insertions in a candidate gene linked to both the abundance of a keystone microbe Massilia and source total soil nitrogen, finding mutant plants to show a reduction in lateral root density. We conclude that locally adapted maize varieties exert patterns of genetic control on their root and rhizosphere microbiomes that follow variation in their home environments, consistent with a role in tolerance to prevailing stress.

genetics↗

bioRxiv2023

Reconstruction of 3-dimensional tissue organization at the single-cell resolution

Recent advances in spatial transcriptomics (ST) have allowed for the mapping of tissue heterogeneity, but this technique lacks the resolution to investigate gene expression patterns, cell-cell communications and tissue organization at the single-cell resolution. ST data contains a mixed transcriptome from multiple heterogeneous cells, and current methods predict two-dimensional (2D) coordinates for individual cells within a predetermined space, making it difficult to reconstruct and study three-dimensional (3D) tissue organization. Here we present a new computational method called scHolography that uses deep learning to map single-cell transcriptome data to 3D space. Unlike existing methods, which generate a projection between transcriptome data and 2D spatial coordinates, scHolography uses neural networks to create a high-dimensional transcriptome-to-space map that preserves the distance information between cells, allowing for the construction of a cell-cell proximity matrix beyond the 2D ST scaffold. Furthermore, the neighboring cell profile of a given cell type can be extracted to study spatial cell heterogeneity. We apply scHolography to human skin, human skin cancer and mouse brain datasets, providing new insights into gene expression patterns, cell-cell interactions and spatial microenvironment. Together, scHolography offers a computational solution for digitizing transcriptome and spatial information into high-dimensional data for neural network-based mapping and the reconstruction of 3D tissue organization at the single-cell resolution.

bioinformatics↗

bioRxiv2022

High Sensitivity Top-down Proteomics Captures Single Muscle Cell Heterogeneity in Large Proteoforms

Single-cell proteomics has emerged as a powerful method to characterize cellular phenotypic heterogeneity and the cell-specific functional networks underlying biological processes. However, significant challenges remain in single-cell proteomics for the analysis of proteoforms arising from genetic mutations, alternative splicing, and post-translational modifications. Herein, we have developed a highly sensitive functionally integrated top-down proteomics method for the comprehensive analysis of proteoforms from single cells. We applied this method to single muscle fibers (SMFs) to resolve their heterogeneous functional and proteomic properties at the single cell level. Notably, we have detected single-cell heterogeneity in large proteoforms (>200 kDa) from the SMFs. Using SMFs obtained from three functionally distinct muscles, we found fiber-to-fiber heterogeneity among the sarcomeric proteoforms which can be related to the functional heterogeneity. Importantly, we reproducibly detected multiple isoforms of myosin heavy chain (~223 kDa), a motor protein that drives muscle contraction, with high mass accuracy to enable the classification of individual fiber types. This study represents the first "single-cell" top-down proteomics analysis that captures single muscle cell heterogeneity in large proteoforms and establishes a direct relationship between sarcomeric proteoforms and muscle fiber types, highlighting the potential of top-down proteomics for uncovering the molecular underpinnings of cell-to-cell variation in complex systems. Significance StatementSingle-cell technologies are revolutionizing biology and molecular medicine by allowing direct investigation of the biological variability among individual cells. Top-down proteomics is uniquely capable of dissecting biological heterogeneity at the intact protein level. Herein, we develop a highly sensitive single-cell top-down proteomics method to reveal diverse molecular variations in large proteins (>200 kDa) among individual single muscle cells. Our results both reveal and characterize the differences in protein post-translational modifications and isoform expression possible between individual muscle cells. We further integrate functional properties with proteomics and accurately measure myosin isoforms for individual muscle fiber type classification. Our study highlights the potential of top-down proteomics for understanding how single-cell protein heterogeneity contributes to cellular functions.

biochemistry↗

bioRxiv2022

FAM76B regulates NF-κB-mediated inflammatory pathway by influencing the translocation of hnRNPA2B1

FAM76B has been reported to be a nuclear speckle localized protein with unknown function. In this study, FAM76B was first demonstrated to inhibit the NF-{kappa}B-mediated inflammatory pathway by affecting the translocation of hnRNPA2B1 in vitro. We further showed that FAM76B suppressed inflammation by regulating the NF-{kappa}B pathway in vivo using a traumatic brain injury (TBI) model in FAM76B knockout mice. Lastly, FAM76B was shown to interact with hnRNPA2B1 in human tissues taken from patients with acute, organizing, and chronic TBI, and with different neurodegenerative diseases. The results suggested that FAM76B mediates neuroinflammation by influencing the translocation of hnRNPA2B1 in vivo during TBI repair and neurodegenerative diseases. In summary, we for the first time demonstrated the role of FAM76B in regulating inflammation and further showed that FAM76B could regulate the NF-{kappa}B-mediated inflammatory pathway by affecting hnRNPA2B1 translocation, which provides new information for studying the mechanism of inflammation regulation.

cell biology↗

bioRxiv2022

Promoting Axon Regeneration By Inhibiting RNA N6-methyladenosine Demethylase ALKBH5

A key limiting factor of successful axon regeneration is the intrinsic regenerative ability in both the peripheral (PNS) and central nervous system (CNS). Previous studies have identified axon regeneration regulators that act on gene expression in injured neurons. However, it is less known if RNA modifications play a role in this process. Here, we systematically screened the functions of all common m6A modification-related enzymes in axon regeneration and report ALKBH5, an evolutionarily conserved RNA m6A demethylase, as a regulator of axonal regeneration. In PNS, knockdown of ALKBH5 enhanced sensory axonal regeneration, whereas overexpressing ALKBH5 impaired axonal regeneration in an m6A-dependent manner. Mechanistically, ALKBH5 increased the stability of Lpin2 mRNA and thus limited regenerative growth associated lipid metabolism in DRG neurons. Moreover, in CNS, knockdown of ALKBH5 enhanced the survival and axonal regeneration of retinal ganglion cells after optic nerve injury. Together, our results suggest a novel mechanism regulating axon regeneration and point ALKBH5 as a potential target for promoting axon regeneration in both PNS and CNS.

neuroscience↗

bioRxiv2022

Root-associated Fungi in Orchidaceae: Diversity, Phylogeny, Ecology, and Outstanding Questions

Mycorrhizal fungi form ubiquitous symbiotic associations with almost all land plants and are of key interest to evolutionary biologists and ecologists because this ancient symbiosis was essential for the colonization of land by plants - a major turning point in the evolutionary history of the earth - and the subsequent development and functioning of the terrestrial ecosystems. Within the orchid family (Orchidaceae), plants establish unique interactions with specific orchid mycorrhizal fungi. These fungal symbionts are essential for the development of orchids as they provide carbon and soil nutrients to germinating orchid seeds and the nutritional supply continues for adult orchids to different degrees. Fueled by the development of DNA sequencing techniques, the diversity of mycorrhizal and other root-associated fungi in orchid roots has been extensively reported in evolutionary and ecophysiological studies. However, the full taxonomic range of orchid-associated fungi remains to be investigated in a broad phylogenetic framework, hampering a further understanding of the evolution and ecological adaptation of orchid mycorrhizal interactions. In this study, we used the most complete DNA dataset to date to map the phylogenetic distribution and ecological lifestyles of root-associated fungi in Orchidaceae by phylogenetic reconstructions at the fungal order level. We found that a broad taxonomic range of fungi (clustered into 1898 operational taxonomic units) resided in orchid roots, belonging to at least 150 families in 28 orders in Basidiomycota and Ascomycota. These fungi were assigned to diverse ecological lifestyles including typical orchid mycorrhizal fungi ( rhizoctonia), ectomycorrhizal fungi, wood- or litter-decaying saprotrophic fungi, and other endophytes/pathogens/saprotrophs. This overview reveals that among the four different mycorrhizal types, the orchid mycorrhizal symbiosis probably involves the highest diversity of fungal taxa. We hope that our newly reconstructed phylogenetic framework of orchid-associated fungi and the assessment of their potential mycorrhizal status will benefit future ecological and evolutionary studies on orchid-fungal interactions.

evolutionary biology↗

bioRxiv2022

Robust clustering of transcriptomes through multiple testing

Cohort studies increasingly collect biosamples for molecular profiling and are observing molecular heterogeneity. High throughput RNA sequencing is providing large datasets capable of reflecting disease mechanisms. Clustering approaches have produced a number of tools to help dissect complex heterogeneous datasets, however, selecting the appropriate method and parameters to perform exploratory clustering analysis of transcriptomic data requires deep understanding of machine learning and extensive computational experimentation. Tools that assist with such decisions without prior field knowledge are nonexistent. To address this we have developed Omada, a suite of tools aiming to automate these processes and make robust unsupervised clustering of transcriptomic data more accessible through automated machine learning based functions. The efficiency of each tool was tested with five datasets characterised by different expression signal strengths to capture a wide spectrum of RNA expression datasets. Our toolkits decisions reflected the real number of stable partitions in datasets where the subgroups are discernible. Within datasets with less clear biological distinctions, our tools either formed stable subgroups with different expression profiles and robust clinical associations or revealed signs of problematic data such as biased measurements.

bioinformatics↗

bioRxiv2022

Dalpiciclib Partially Abrogates ER Signaling Activation Induced by Pyrotinib In HER2+HR+ Breast Cancer

BackgroundRecent evidences from clinical trials (NCT04486911) revealed that the combination of pyrotinib, letrozole and dalpiciclib exerted optimistic therapeutic effect to treat HER2+HR+ breast cancer, however, the underlying molecular mechanism remained further investigation. MethodsThrough the drug sensitivity test, the drug combination efficacy of pyrotinib, tamoxifen and dalpiciclib to BT474 cells were tested. The underlying molecular mechanisms were investigated using immunofluorescence, western blot analysis, immunohistochemical staining and cell cycle analysis. Potential risk factor which may indicate the responsiveness to drug treatment in HER2+/HR+ breast cancer was selected out using RNA-sequence and tested using immunohistochemical staining and in vivo drug susceptibility test. ResultsWe found that pyrotinib combined with dalpiciclib exerted better cytotoxic efficacy than pyrotinib combined with tamoxifen in BT474 cells. Degradation of HER2 could enhance ER nuclear transportation, activating ER signaling pathway in BT474 cells whereas dalpiciclib could partially abrogate this process. This may be the underlying mechanism by which combination of pyrotinib, tamoxifen and dalpiciclib exerted best cytotoxic effect. Furthermore, CALML5 was revealed to be a risk factor in the treatment of HER2+/HR+ breast cancer and the usage of dalpiciclib might overcome this. ConclusionOur study provided evidence that the usage of dalpiciclib in the treatment of HER2+/HR+ breast cancer could partially abrogate the estrogen signaling pathway activation caused by anti-HER2 therapy and revealed that CALML5 could serve as a risk factor in the treatment of HER2+/HR+ breast cancer. FundingThis study was supported by the National Natural Science Foundation of China (#U20A20381, #81872159)

cancer biology↗

bioRxiv2022

General stain deconvolution of histopathology images with physics-guided deep learning

Advances have been made in the use of deep learning to extract quantitative and predictive information from digital pathology slides, yet many barriers remain before clinical translation and deployment. In particular, models need to be generalizable despite the wide variations in image characteristics due to inter-scanner variability and differences in slide preparation protocols. This has led to an interest in stain deconvolution methods that could correct for the variability in image appearances. However, most existing stain deconvolution methods were developed and validated on specific datasets and perform poorly on unseen data. We developed Physics-Guided Deep Image Prior network for Stain deconvolution (PGDIPS), a method that combines a novel optical physics model and a self-supervised deep neural network to perform deconvolution for various classes and any number of stains, without the need of training data. PGDIPS outperformed state-of-the-art approaches for the deconvolution of conventional stain combinations, enabled analysis of previously unsupported special stains, and provided superior interpretability by explicitly encoding representations for stain properties and the light transmittance/absorbance process. PGDIPS is publicly available as an end-to-end off-the-shelf tool that does not require data curation, domain knowledge or high computation power.

bioinformatics↗

bioRxiv2022

RecA balances genomic stability and evolution using many successive mismatch tolerant homology tests

A double-strand break (DSB) must usually be repaired with as little alteration to the genome as possible, though some rare alterations provide valuable genomic evolution. In E.coli, a DSB undergoes resection to give 3 ssDNA tails. These invading strand tails are loaded with RecA protein and then rapidly search the genome for the corresponding (allelic) partner. Thus, a searching ssDNA/RecA filament must almost never make stable non-allelic contact; therefore, it has been puzzling that RecA forms stable products that join partially homologous sequences. Homology testing by RecA family proteins begins with an 8-bp test, followed by successive homology tests of base pair triplets. Here we introduce a highly simplified homology recognition model to highlight how mismatch sensitivity could affect non-allelic pairing in bacterial genomes. The model predicts that even if each triplet test accepts 2 mismatches, RecA can have [~] 95% probability of establishing allelic pairing after a DSB in E. coli; however, that accuracy requires homology testing {gap}50 contiguous base pairs, consistent with the homology lengths probed in vivo. In contrast, if no mismatches are accepted testing 14 bp is sufficient, and testing more base pairs does not reduce non-allelic pairing because bacterial genomes contain long repeats.

biophysics↗

bioRxiv2022

Boosting wheat functional genomics via indexed EMS mutant library of KN9204

A better understanding of wheat functional genomics could facilitate the targeted breeding for agronomic traits improvement and environmental adaptation. With the release of reference genomes and extensive re-sequencing data of wheat and relatives, wheat functional genomics enters a new era. However, limited transformation efficiency in wheat hampers in-depth gene functional study and genetic manipulation for breeding. Here, we generated an EMS mutagenesis library of KN9204, a widely grown elite wheat variety in northern China, with available reference genome, transcriptome, and epigenome of various tissues. The library harbors enormous developmental diversity covering important tissues and transition stages. Exome capture sequencing of 2,090 mutant lines, with probes designed by KN9204 genome, revealed that 98.79% of coding genes have mutations and 1,383 EMS-type SNPs per line averagely. Novel allelic variations for important agronomic trait-related genes, such as Rht-D1, Q, TaTB1, and WFZP, were identified. We tested 100 lines with severe mutations in 80 NAC TFs under drought and salinity stresses, and found 13 lines with altered sensitivity. Three lines were further analyzed for the regulation insight of NAC TFs in stress response by combing transcriptome and available chromatin accessibility data. Hundreds of direct targets of NAC with altered transcriptional pattern in mutant lines under salt or drought stress induction were identified, including SNAC1, DREB2B, CML16 and ZFP182, knowing factors in abiotic stresses response. Thus, we have generated and indexed KN9204 EMS mutant library which would facilitate functional genomics study and provide resources for genetic manipulation in wheat.

plant biology↗

bioRxiv2022

A macrophage subpopulation promotes airineme-mediated intercellular communication in a Matrix Metalloproteinase-9-dependent manner

Tissue-resident macrophages are highly heterogenous and perform various dedicated functions depending on their locations. In particular, skin resident macrophages have intriguing roles in long-distance intercellular signaling by mediating cellular protrusions called airinemes in zebrafish. During pigment pattern formation, macrophages relay signaling molecules containing airineme vesicles from one pigment cell to another. Without macrophages, airineme-mediated signaling is abolished, disrupting pigment pattern formation. It remains unknown, however, if the same macrophage population controls both these signaling roles and typical immune functions or if a separate macrophage subpopulation functions in intercellular communication. In this study, with high-resolution confocal live-imaging and cell type-specific genetic ablation approaches in vivo, we have identified a macrophage subpopulation responsible for airineme-mediated signaling. These cells appear distinct from conventional skin resident macrophages by their amoeboid morphology and faster/expansive migratory behaviors. Instead, we show that they resemble ectoderm-derived macrophages termed metaphocytes. Metaphocyte ablation dramatically reduces airineme extension and signaling. In addition, these amoeboid/metaphocytes require high levels of MMP9 expression for their migration and airineme-mediated signaling. These results reveal a novel macrophage subpopulation with specialized functions in airineme-mediated signaling, which may play roles in many other aspects of intercellular communication.

developmental biology↗

bioRxiv2022

MOF-mediated Histone H4 Lysine 16 Acetylation Governs Mitochondrial and Ciliary Functions by Controlling Gene Promoters

Histone H4 lysine 16 acetylation (H4K16ac), governed by the histone acetyltransferase (HAT) MOF, orchestrates critical functions in gene expression regulation and chromatin interaction. However, how does MOF and H4K16ac control cellular function and regulate mammalian tissue development remains unclear. Furthermore, whether the function of MOF is mediated by MSL or NSL, two distinct MOF-containing HAT complexes, have not been determined during mammalian development. Here we show that conditional deletion of Mof but not Kansl1, an essential component of the NSL complex, causes severe defects during murine skin development. In the absence of Mof and H4K16ac, basal epithelial progenitors of mammalian skin fail to establish the basement membrane and cell polarity, causing the failure of self-renewal. Furthermore, epidermal differentiation and hair growth are severely compromised, leading to barrier defects and perinatal lethality. Single-cell and bulk RNA-seq, in combination with MOF ChIP-seq, reveal that MOF regulated genes are highly enriched in mitochondria and cilia. Mechanistically, MOF coordinates with RFX2 transcription factor, which preferentially binds to gene promoters, to regulate ciliary and mitochondrial genes. Importantly, genetic deletion of Uqcrq, a nuclear-encoded, essential subunit for electron transport chain (ETC) Complex III, recapitulates the defects of epidermal differentiation and hair follicle growth observed in MOF cKO. Together, this study reveals the requirement of MOF-mediated epigenetic mechanism for mitochondria and cilia, and demonstrates the important function of the MOF/ETC axis for mammalian skin development.

developmental biology↗