Biology subjects

Fan, X.

Publications and source records attributed to Fan, X..

At least 217 records · Page 12Linked to original sources

bioRxiv2020

Comprehensive transcriptome data of normal and Ascosphaera apis-infected western honeybee larval guts

ABSTRAmTApis mellifera ligustica is a well-known subspecies of western honeybee, Apis mellifera. Ascosphaera apis is a common fungal pathogen of honeybee larvae, resulting in Chalkbrood disease. In this article, deep sequencing of un-treated 4-, 5-, and 6-day-old larval guts (AmCK1, AmCK2, AmCK3) and A. apis-treated 4-, 5- and 6-day-old larval guts (AmT1, AmT2, AmT3) of Apis mellifera ligustica were conducted using Illumina HiSeq 4000 platform. In total, 85811046, 81962296, 85636572, 79267686, 82889882, and 100211796 raw reads were respectively yielded from above-mentioned six groups. The result of sequencing satuation analysis suggested that the sequencing depth in this work was enough to detect nearly all expressed genes. After quality control, 85739414, 81896402, 85573798, 79202304, 82828926, and 100128692 clean reads were obtained. Additionally, the GC content of each group was above 45.26%. Furthermore, 47035852, 65612676, 71803878, 62560904, 65018360, and 56278272 clean reads were mapped to the Apis mellifera genome, including 41221479, 61172916, 66724233, 57531335, 60245732, and 52638986 unique mapped clean reads, and 2078427, 986825, 915375, 1082925, 1097130, and 716436 multiple mapped clean reads. In addition, exons were the most abundant regions mapped by clean reads, follow by intergenic regions and introns. The strand-specific cDNA library-based RNA sequencing data documented here will faciliate study on molecualr mechanisms underlying host immune response and host-pathogen interaction during chalkbrood disease, and benefit understanding of non-coding RNA-mediated cross-kingdom regulation between A. m. ligustica larvae and A. apis. Value of the DataO_LIThis data reported here could be used to explore circRNAs, lncRNAs, mRNAs and their competing endogenous RNA networks involved in response of western honeybee larvae to Ascosphaera apis infection. C_LIO_LIThe current data contributes to better understanding mechanisms regulating host-pathogen interaction during chalkbrood disease. C_LIO_LIOur data can provide novel insights into understanding non-coding RNA-mediated cross-kingdom regulation between Apis mellifera ligustica and A. apis. C_LI

molecular biology↗

bioRxiv2020

Pacific Biosciences long reads-based genome sequencing data from a widespread bee fungal parasite, Nosema ceranae

Nosema ceranae is a widespread fungal parasite that infects both adult honeybee and honeybee larvae, leading to microsporidiosis, which seriously affects bee health and apicultural industry. In this article, genome sequencing of clean spores of N. ceranae was conducted using third-generation Pacific Biosciences (PacBio) single molecule real time (SMRT) sequencing technology. In total, 152671 subreads were obtained after quality control of raw reads from PacBio SMRT sequencing, with a N50 and average length of 14422 bp and 11310 bp, respectively. Additionally, the length distribution of subreads was from 10000 bp to more than 50000 bp. Nineteen scaffords with a total length of 7354221 bp were assembled, and the N50, N90 and maximum scafford length were 728543 bp, 198795 bp and 1917792 bp, respectively. The GC content was 25.97%. Furthermore, by integration of genes predicted from de novo and homology-based methods, 3112 N. ceranae genes were finally assembled, with a total length of 2730179 bp and mean length of 877.31 bp. In addition, the total length and mean length of exons were 2657637 bp and 854 bp, respectively; and the total length and mean length of introns were 72542 bp and 23.31 bp, respectively. The genome sequencing data documented here will give deep insights into the molecular biology of N. ceranae, facilitate exploration of genes and pathways associated with toxin factors and infection-related factors, and benefit research on comparative genomics and phylogenetic diversity of Nosema species.

bioinformatics↗

bioRxiv2020

Genome-wide bisulfite sequencing data of normal and Ascosphaera apis-infected larval guts of eastern honeybee

Apis cerana cerana, a subspecies of eastern honey, Apis cerana, plays a specific role in beekeeping industry and ecosystem in China and other Asian countries. Larvae of A. c. cerana can be infected by Ascosphaera apis, the fungal pathogen of chalkbrood. In this article, normal 4-, 5-, and 6-day-old larval guts (AcCK1, AcCK2, AcCK3) and A. apis-infected 4-, 5- and 6-day-old larval guts (AcT1, AcT2, AcT3) of A. c. cerana workers were respectively harvested followed by DNA isolation, bisulfite conversion, cDNA library construction and Illumina sequencing. Based on genome-wide bisulfite sequencing, 79167210, 82175052, 79331489, 81051009, 74742842 and 74849091 raw reads were generated from AcCK1, AcCK2, AcCK3, AcT1, AcT2 and AcT3, and after quality control, 73417030 (92.73%), 76660370 (93.27%), 71804727 (90.44%), 75046507 (92.82%), 67487782 (90.30%) and 67367023 (90.04%) clean reads were obtained, respectively. Additionally, 73333333, 76533333, 71466667, 75066667, 67590965 and 67200000 clean reads were mapped to the reference genome of A. cerana, including 54656767, 58583415, 54127407, 57943220, 52547867 and 51295824 unique mapped clean reads, and 8624392, 8789458, 7531333, 7747337, 6249679 and 5394174 multiple mapped clean reads. The genome-wide bisulfite sequencing data reported here can be used for genome-wide identification of 5mC methylation sites in eastern honeybee larval guts and systematic investigation of DNA methylation-mediated host response to A. apis infection. Value of the dataO_LIThe current dataset contributes to genome-wide identification of 5mC methylation sites in normal and A. apis-infected larval guts of eastern honeybee. C_LIO_LIThe reported data could be used for systematic investigation of DNA methylation-mediated response of eastern honeybee larvae to A. apis infection. C_LIO_LIOur data offers a valuable genetic resource for better understanding epigenetic regulation mechanism involved in eastern honeybee larvae-A. apis interaction. C_LI

molecular biology↗

bioRxiv2020

Whole genome bisulfite sequencing dataset of mycelium and spore of chalkbrood disease pathogen Ascosphaera apis

Chalkbrood, a widespread fungal disease of bee larvae, is caused by the fungus Ascosphaera apis. In this article, mecylia and spores of A. apis were respectively collected followed by DNA isolation, bisulfite conversion, cDNA library construction and next-generation sequencing. Using whole genome bisulfite sequencing (WGBS), 69,844,360 and 60,570,990 raw reads were yielded from Aam and Aas, and after quality control, 9,982,386,951 and 8,825,601,434 clean reads were obtained, respectively. In addition, 67,685,866 and 58,886,072 clean reads were mapped to the reference genome of A. apis, including 37,643,592 and 31,568,442 unique mapped clean reads, and 49,686 and 13,348 multiple mapped clean reads. Furthermore, after bisulfite treatment, the conversion ratio of clean reads from Aam and Aas were 99.38% and 99.51%, respectively. The WGBS data ducumented here contributes to genome-wide identification of 5mC methylation sites in A. apis and comparison of methylomes between mycelium and spore. Value of the dataO_LIThis dataset can be used for genome-wide identification of 5mC methylation sites in A. apis. C_LIO_LIThe accessible data could be used to systematically compare methylomes between mycelium and spore of A. apis. C_LIO_LICurrent data provides a useful resource for further study on DNA methylation-mediated mechanism underlying mycelium growth, spore germination and sexual reproduction of mycelium with the opposite sex. C_LI

molecular biology↗

bioRxiv2020

Nanopore-based long-read transcriptome data of Nosema ceranae-infected and un-infected western honeybee workers' midguts

Apis mellifera ligustica is a subspecies of western honeybee, Apis mellifera. Nosema ceranae is known to cause bee microspodiosis, which seriously affects bee survival and colony productivity. In this article, Nanopore long-read sequencing was used to sequence N. ceranae-infected and un-infected midguts of A. m. ligustica workers at 7 d and 10 d post inoculation (dpi). In total, 5942745, 6664923, 7100161 and 6506665 raw reads were respectively yielded from AmT1, AmT2, AmCK1 and AmCK2, with average lengths of 1148, 1196, 1178 and 1201 bp, and N50 of 1328, 1394, 1347 and 1388 bp. The length distribution of raw reads from AmT1, AmT2, AmCK1 and AmCK2 was ranged from 1 kb to more than 10 kb. Additionally, the distribution of quality score of raw reads from AmT1 and AmT2 was among Q6[~]Q12, while that from AmCK1 and AmCK2 was among Q6[~]Q16. Further, 5745048, 6416987, 6928170, 6353066 clean reads were respectively gained from AmT1, AmT2, AmCK1 and AmCK2, and among them 4172542, 4638289, 5068270 and 4857960 were identified as being full-length. After removing redundant reads, the length distribution of remaining full-length transcripts was among 1 kb[~]8 kb, with the most abundant length of 2 kb. The long-read transcriptome data reported here contributes to a deeper understanding of the molecular regulating N. ceranae-response of A. m. ligustica and host-fungal parasite interaction during microsporidiosis.

bioinformatics↗

bioRxiv2020

Click-ExM enables expansion microscopy for all biomolecules

Expansion microscopy (ExM) allows super-resolution imaging on conventional fluorescence microscopes, but has been limited to proteins and nucleic acids. Here we develop click-ExM, which integrates click-labeling into ExM to enable a "one-stop-shop" method for nanoscale imaging of various types of biomolecules. Using 18 clickable labels for click-ExM imaging of DNA, RNA, proteins, lipids, glycans and small molecules, we demonstrate its universality, compatibility with signal-amplification techniques, and broad applications in cellular imaging.

bioengineering↗

bioRxiv2020

PacBio SMRT-based full-length transcriptome data of Ascosphaera apis mycelium and spore

Ascosphaera apis is an entomopathogenic fungus that exclusively infects honeybee larvae, resulting in chalkbrood disease, a widespread fungal disease damaging the beekeeping industry all over the world. In this article, purified mycelia (Aam) and spores (Aas) of A. apis pure culture under lab condition were sequenced using PacBio Sequel platform. In total, 13,302,489 and 9,911,345 subreads were yielded from Aam and Aas, respectively; 394,142 and 274,928 circular consensus sequence (CCS) reads were identified as being full-length non-chimeric (FLNC) reads, with a mean length of 2820 bp and 2602 bp, respectively. Furthermore, 174,095 and 103,845 corrected isoforms were identified, with a N50 length of 3543 bp and 3262 bp, respectively. The reported full-length transcriptome data of A. apis mycelium and spore will provide a valuable resource for improvement of genome and transcriptome annotations as well as better understanding of transcript structure such as alternative splicing and polyadenylation. Value of the dataO_LICurrent dataset offers a set of high-quality full-length transcripts of A. apis. C_LIO_LIThe data can facilitate the improvement of A. apis genome and transcriptome annotations. C_LIO_LIThis dataset benefits further exploration of alternative splicing and polyadenylation of A. apis mRNAs. C_LI

evolutionary biology↗

bioRxiv2020

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

BackgroundAccurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on their daily image analyses. MethodsBased on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC prediction/diagnosis using weakly labeled pathological whole slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, >14,680 WSIs, from >9,631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, U.S., and Germany. ResultsOur innovative AI tool was consistently nearly perfectly agreed with (average Kappa-statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multi-centers. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.981 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. ConclusionsThis first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. Hence, it will drastically alleviate the heavy clinical burden of daily pathology diagnosis, and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.

pathology↗

bioRxiv2020

Molecular and cellular heterogeneity of gastric cancer explained by methylation-driven key regulators

Gastric cancer (GC) is a heterogeneous disease of diverse genetic, genomic, and epigenetic alterations. Tumor microenvironment (TME) also contributes to the heterogeneity of GC. To investigate GC heterogeneity, we developed an Integrative Sequential Causality Test (ISCT) to identify key regulators of GC by integrating DNA methylation, copy number variation, and transcriptomic data. Applying ISCT to three GC cohorts containing methylation, CNV and transcriptomic data, 11 common methylation-driven key regulators (ADHFE1, CDO1, CRYAB, FSTL1, GPT, PKP3, PTPRCAP, RAB25, RHOH, SFN, and SORD) were identified. Based on these 11 genes, gastric tumors were clustered into 3 clusters which were associated with known molecular subtypes, Lauren classification, tumor stage, and patient survival, suggesting significance of the methylation-driven key regulators in molecular and histological heterogeneity of GC. We further showed that chemotherapy benefit was different in the 3 GC clusters and varied depending on the tumor stage. Both immune/stromal proportions in TME and tumor cell genomic variations contributed to expression variations of the 11 methylation-driven key regulators and to the GC heterogeneity.

genomics↗

bioRxiv2020

Dissecting endothelial to haematopoietic stem cell transition by single-cell transcriptomic and functional analyses

Haematopoietic stem cells (HSCs) in adults are believed to be born from hemogenic endothelial cells (HECs) in mid-gestational mouse embryos. Due to rare and transient nature, the HSC-competent ECs have never been stringently identified and accurately captured, let alone their genuine vasculature precursors. Here, we firstly used high-precision single-cell transcriptomics to unbiasedly examine relevant EC populations at continuous developmental stages and transcriptomically identified putative HSC-primed HECs. Combining computational prediction and in vivo functional validation, we precisely captured HSC-competent HECs by newly constructed Neurl3-EGFP reporter mouse model, and realized enrichment further by surface marker combination. Surprisingly, endothelial-haematopoietic bi-potential was rarely but reliably witnessed in culture of single HECs. Noteworthy, primitive vascular ECs experienced two-step fate choices to become HSC-primed HECs, resolving several previously observed contradictions. Taken together, comprehensive understanding of endothelial evolutions and molecular programs underlying HSC-primed HEC specification in vivo will facilitate future investigations directing HSC production in vitro.

developmental biology↗

bioRxiv2020

Surveying Brain Tumor Heterogeneity by Single-Cell RNA Sequencing of Multi-sector Biopsies

Brain tumors are among the most challenging human tumors for which the mechanisms driving progression and heterogeneity remain poorly understood. We combined single-cell RNA-seq with multisector biopsies to sample and analyze single-cell expression profiles of gliomas from 13 Chinese patients. After classifying individual cells, we generated a spatial and temporal landscape of glioma that revealed the patterns of invasion between the different sub-regions of gliomas. We also used single-cell inferred CNVs and pseudotime trajectories to inform on the crucial branches that dominate tumor progression. The dynamic cell components of the multi-region biopsy analysis allowed us to spatially deconvolute with unprecedented accuracy the transcriptomic features of the core and those of the periphery of glioma at single cell level. Through this rich and geographically detailed dataset, we were also able to characterize and construct the chemokine and chemokine receptor interactions that exist among different tumor and non-tumor cells. This study provides the first spatial-level analysis of the cellular states that characterize human gliomas. It also presents an initial molecular map of the crosstalks between glioma cells and the surrounding microenvironment with single cell resolution.

genomics↗

bioRxiv2020

Moderating Effect of Social Support on Role Conflict and Job Satisfaction Among Nurses with Multiple Roles

Registered nurses perform multiple roles in their lives at work, at home, and at school when they decide to pursue various types of advanced degrees. Work-family conflict was found to be negatively correlated with job satisfaction among nurses. This study aimed to determine the moderating effect of social support on the relationship between role conflicts and job satisfaction among registered nurses in mainland China. The study had a cross-sectional correlational design. Convenience sampling was applied to recruit 320 nurses with multiple roles from 8 nursing universities and 3 hospitals in China between January and August 2017. SPSS (version 20.0) software and PROCESS program was used to examine to moderating effect of social support between the relationship of role conflicts and job satisfaction. It was found that role conflicts were negatively correlated with job satisfaction. Support from work and support from family negatively moderated the relationship between role conflicts and job satisfaction. These findings suggest that support from family, coworkers and nursing administrators, and the implementation of school- and family-friendly policies would help nurses who are pursuing further nursing degrees to handle their multiple roles and improve their job satisfaction.

scientific communication and education↗

bioRxiv2020

Accucopy: accurate and fast inference of allele-specific copy number alterations for heterogeneous tumor samples from high-throughput sequencing data

BackgroundCopy number alterations (CNAs), due to their large impact on the genome, have been an important contributing factor to oncogenesis and metastasis. Detecting genomic alterations from the shallow-sequencing data of a low-purity tumor sample remains a challenging task. ResultsWe introduce Accucopy, a method to infer total copy numbers (TCNs) and allele-specific copy numbers (ASCNs) from challenging low-purity and low-coverage tumor samples. Accucopy adopts many robust statistical techniques such as kernel smoothing of coverage differentiation information to discern signals from noise and combines ideas from time-series analysis and the signal-processing field to derive a range of estimates for the period in a histogram of coverage differentiation information. Statistical learning models such as the tiered Gaussian mixture model, the Expectation-Maximization (EM) algorithm, and Sparse Bayesian Learning (SBL) were customized and built into the model. Accucopy is implemented in C++/Rust, packaged in a docker image, and supports non-human samples, more at http://www.yfish.org/software/. ConclusionsWe describe Accucopy, a method that can predict both TCNs and ASCNs from low-coverage low-purity tumor sequencing data. Through comparative analyses in both simulated and real-sequencing samples, we demonstrate that Accucopy is more accurate than Sclust, ABSOLUTE, and Sequenza.

bioinformatics↗

bioRxiv2019

High Yield Monolayer Graphene Grids for Near-Atomic Resolution Cryo-Electron Microscopy

Cryogenic electron microscopy (cryo-EM) has become one of the most powerful techniques to reveal the atomic structures and working mechanisms of biological macromolecules. New designs of the cryo-EM grids--aimed at preserving thin, uniform vitrified ice and improving protein adsorption--have been considered a promising approach to achieving higher resolution with the minimal amount of materials and data. Here, we describe a method for preparing graphene cryo-EM grids with 99% monolayer graphene coverage that allows for more than 70% grid squares for effective data acquisition with improved image quality and protein density. Using our graphene grids, we have achieved 2.6 [A] resolution for streptavidin, with a molecular weight of 52 kDa, from 11,000 particles. Our graphene grids increase the density of examined soluble, membrane, and lipo-proteins by at least five times, affording the opportunity for structural investigation of challenging proteins which cannot be produced in large quantity. In addition, our method employs only simple tools that most structural biology laboratories can access. Moreover, our approach allows for customized grid designs targeting specific proteins, due to its broad compatibility with a variety of nanomaterials. Significance statementSingle particle cryogenic electron microscopy (cryo-EM) represents the cutting-edge technology to determine three-dimensional atomic structures of bio-macromolecules. However, issues of cryo-sample preparation limit the cryo-EM to achieve higher resolution. Here, we demonstrated a high yield, monolayer graphene supporting film to improve the cryo-sample quality. Using our approach, we have achieved so far, the highest resolution structure of the smallest protein by cryo-EM with the minimal number of datasets. Our technique paves the way for universal cryo-sample preparation for near-atomic resolution cryo-EM.

biophysics↗

bioRxiv2019

SapTrap assembly of C. elegans MosSCI transgene vectors

The Mos1-mediated Single-Copy Insertion (MosSCI) method is widely used to establish stable Caenorhabditis elegans transgenic strains. Cloning MosSCI targeting plasmids can be cumbersome because it requires assembling multiple genetic elements including a promoter, a 3UTR and gene fragments. Recently, Schwartz and Jorgensen developed the SapTrap method for the one-step assembly of plasmids containing components of the CRISPR/Cas9 system for C. elegans (Schwartz and Jorgensen 2016 Genetics, 202:1277-1288). Here, we report on the adaptation of the SapTrap method for the efficient and modular assembly of a promoter, 3UTR and either 2 or 3 gene fragments in a MosSCI targeting vector in a single reaction. We generated a toolkit that includes several fluorescent tags, components of the ePDZ/LOV optogenetic system and regulatory elements that control gene expression in the C. elegans germline. As a proof of principle, we generated a collection of strains that fluorescently label the endoplasmic reticulum and mitochondria in the hermaphrodite germline and that enable the light-stimulated recruitment of mitochondria to centrosomes in the one-cell worm embryo. The method described here offers a flexible and efficient method for assembly of custom MosSCI targeting vectors.

genetics↗

bioRxiv2019

Reconstruction and functional annotation of Ascosphaera apis full-length transcriptome via PacBio single-molecule long-read sequencing

Ascosphaera apis is a widespread fungal pathogen of honeybee larvae that results in chalkbrood disease, leading to heavy losses for the beekeeping industry in China and many other countries. This work was aimed at generating a full-length transcriptome of A. apis using PacBio single-molecule real-time (SMRT) sequencing. Here, more than 23.97 Gb of clean reads was generated from long-read sequencing of A. apis mecylia, including 464,043 circular consensus sequences (CCS) and 394,142 full-length non-chimeric (FLNC) reads. In total, we identified 174,095 high-confidence transcripts covering 5141 known genes with an average length of 2728 bp. We also discovered 2405 genic loci and 11,623 isoforms that have not been annotated yet within the current reference genome. Additionally, 16,049, 10,682, 4520 and 7253 of the discovered transcripts have annotations in the Non-redundant protein (Nr), Clusters of Eukaryotic Orthologous Groups (KOG), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Moreover, 1205 long non-coding RNAs (lncRNAs) were identified, which have less exons, shorter exon and intron lengths, shorter transcript lengths, lower GC percent, lower expression levels, and fewer alternative splicing (AS) evens, compared with protein-coding transcripts. A total of 253 members from 17 transcription factor (TF) families were identified from our transcript datasets. Finally, the expression of A. apis isoforms was validated using a molecular approach. Overall, this is the first report of a full-length transcriptome of entomogenous fungi including A. apis. Our data offer a comprehensive set of reference transcripts and hence contributes to improving the genome annotation and transcriptomic study of A. apis.

molecular biology↗

bioRxiv2019

Chromosome-scale de novo assembly and phasing of a Chinese indigenous pig genome

Chinese indigenous pigs differ significantly from Western commercial pig breeds in phenotypic and genomic characteristics. Thus, building a high-quality reference genome for Chinese indigenous pigs is pivotal to exploring gene function, genome evolution and improving genetic breeding in pigs. Here, we report an ultrahigh-quality phased chromosome-scale genome assembly for a male Luchuan pig, a representative Chinese domestic breed, by generating and combining data from PacBio Sequel reads, Illumina paired-end reads, high-throughput chromatin conformation capture and BioNano optical map. The primary assembly is [~] 2.58 Gb in size with contig and scaffold N50s of 18.03 Mb and 140.09 Mb, respectively. Comparison between primary assembly and alternative haplotig reveals numerous haplotype-specific alleles, which provide a rich resource to study the allele-specific expression, epigenetic regulation, genome structure and evolution of pigs. Gene enrichment analysis indicates that the Luchuan-specific genes are predominantly enriched in Gene Ontology terms for phosphoprotein phosphatase activity, signaling receptor activity and phosphatidylinositol binding. We provide clear molecular evolutionary evidence that the divergence time between Luchuan and Duroc pigs is dated back to about 1.7 million years ago. Meanwhile, Luchuan exhibits fewer events of gene family expansion and stronger gene family contraction than Duroc. The positively selected genes (PSGs) in Luchuan pig significantly enrich for protein tyrosine kinase activity, microtubule motor activity, GTPase activator activity and ubiquitin-protein transferase activity, whereas the PSGs in Duroc pig enrich for G-protein coupled receptor activity. Overall, our findings not only provide key benchmark data for the pig genetics community, but also pave a new avenue for utilizing porcine biomedical models to study human health and diseases.

genomics↗

bioRxiv2019

Dynamic changes in RNA-chromatin interactome promote endothelial dysfunction

Chromatins are pervasively attached by RNAs. Here, we asked whether global RNA-chromatin contacts are altered in a given cell type in a disease context, and whether these alterations impact gene expression and cell function. In endothelial cells (ECs) treated by high-glucose and TNF, we employed single-cell RNA-sequencing and in situ mapping of RNA-genome interaction (iMARGI) assay to delineate temporal changes in transcriptome and RNA-chromatin interactome. ECs displayed dramatic and heterogeneous changes in single cell transcriptome, accompanied by a dynamic and strong increase in inter-chromosomal RNA-DNA interactions, particularly among super enhancers (SEs). These SEs overlap with genes contributing to inflammatory response and endothelial mesenchymal transition (EndoMT), two key aspects of endothelial dysfunction. Perturbation of a high-glucose and TNF-activated interaction involving SEs overlapping LINC00607 and SERPINE1 attenuated the pro-inflammatory and pro-EndoMT gene induction and EC dysfunction. Our findings highlight RNA-chromatin contacts as a crucial regulatory feature in biological and disease processes, exemplified by endothelial dysfunction, a major mediator of numerous diseases.

genomics↗