Biology subjects

An, Y.

Publications and source records attributed to An, Y..

At least 55 records · Page 3Linked to original sources

bioRxiv2023

Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging

AbstractO_ST_ABSINTRODUCTIONC_ST_ABSIt is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging. METHODSDiffusion MRI data from several well-established longitudinal cohorts of aging [Alzheimers Neuroimaging Initiative (ADNI), Baltimore Longitudinal Study of Aging (BLSA), Vanderbilt Memory & Aging Project (VMAP)] was free-water corrected and harmonized. This dataset included 1,723 participants (age at baseline: 72.8{+/-}8.87 years, 49.5% male) and 4,605 imaging sessions (follow-up time: 2.97{+/-}2.09 years, follow-up range: 1-13 years, mean number of visits: 4.42{+/-}1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed. RESULTSWhile we found global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging. CONCLUSIONSThere is a prevalent role of white matter microstructural decline in aging, and future large-scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTSO_LILongitudinal data was free-water corrected and harmonized C_LIO_LIGlobal effects of white matter decline were seen in normal and abnormal aging C_LIO_LIThe free-water metric was most vulnerable to abnormal aging C_LIO_LICingulum free-water was the most vulnerable to abnormal aging C_LI

neuroscience↗

bioRxiv2023

Single cell spatial transcriptomic and translatomic profiling of dopaminergic neurons in health, ageing and disease

The brain is spatially organized and contains unique cell types, each performing diverse functions, and exhibiting differential susceptibility to neurodegeneration. This is exemplified in Parkinsons disease with the preferential loss of dopaminergic neurons of the substantia nigra pars compacta. Using a Parkinsons transgenic model, we conducted a single-cell spatial transcriptomic and dopaminergic neuron translatomic analysis of young and old mouse brains. Through the high resolving capacity of single-cell spatial transcriptomics, we provide a deep characterization of the expression features of dopaminergic neurons and 27 other cell types within their spatial context, identifying markers of healthy and aging cells, spanning Parkinsons-relevant pathways. We integrate gene enrichment and GWAS data to prioritize putative causative genes for disease investigation, identifying CASR as a novel regulator of dopaminergic calcium handling. These datasets (see: spatialbrain.org) represent the largest public resource for the investigation of spatial gene expression in brain cells in health, aging and disease.

molecular biology↗

bioRxiv2023

A hierarchical strategy to decipher protein dynamics in vivo with chemical cross-linking mass spectrometry

Protein dynamics are essential for their various functions. Meanwhile, the intracellular environment would affect protein structural dynamics, especially for the intrinsically disordered proteins (IDPs). Chemical cross-linking mass spectrometry (CXMS) can unbiasedly capture the protein conformation information in cells and can also represent the protein dynamics. Here, we proposed a hierarchy deciphering strategy for protein dynamics in vivo. With the prior structure from AlphaFold2, the steady local conformation can be extensively evaluated. On this basis, the full-length structure of multi-domain proteins with various dynamic features can be characterized using CXMS. Furthermore, the complementary strategy with unbiased sampling and distance-constrained sampling enables an objective description of the intrinsic motion of the IDPs. Therefore, the hierarchy strategy we presented herein could help us better understand the molecular mechanisms of protein functions in cells.

cell biology↗

bioRxiv2023

Pooled CRISPR screening of high-content cellular phenotypes by ghost cytometry

Fast enrichment of cells based on morphological information remains a challenge, limiting genome-wide perturbation screening for diverse high-content phenotypes of cells. Here we show that multi-modal ghost cytometry-based cell sorting is applicable to fast pooled CRISPR screening for both fluorescence and label-free high-content phenotypes of millions of cells. By employing the high-content cell sorter in the fluorescence mode, we enabled the genome-wide CRISPR screening of genes that affect NF-{kappa}B nuclear translocation. Furthermore, by employing the multi-parametric, label-free mode, we performed the large-scale screening to identify a gene involved in macrophage polarization. Especially the label-free platform can enrich target phenotypes without invasive staining, preserving untouched cells for downstream assays and unlocking the potential to screen for the cellular phenotypes even when suitable markers are lacking. One-Sentence SummaryMachine vision-based cell sorter enabled genome-wide perturbation screens for high-content cell phenotypes even without labeling

cell biology↗

bioRxiv2022

Integrated transcriptome and lineage analyses reveal novel catecholaminergic cardiomyocytes contributing to the cardiac conduction system in murine heart

Cardiac conduction system (CCS) morphogenesis is essential for correct heart function yet is incompletely understood. Here we established the transcriptional landscape of cell types populating the developing heart by integrating single-cell RNA sequencing and spatial enhanced resolution omics-sequencing (Stereo-seq). Stereo-seq provided a spatiotemporal transcriptomic cell fate map of the murine heart with a panoramic field of view and in situ cellular resolution of the CCS. This led to the identification of a previously unrecognized cardiomyocyte population expressing dopamine beta-hydroxylase (Dbh+-CMs), which is closely associated with the CCS in transcriptomic analyses. To confirm this finding, genetic fate mapping by using DbhCre/Rosa26-tdTomato reporter mouse line was performed with Stereo-seq, RNAscope, and immunohistology. We revealed that Dbh+-derived CMs first emerged in the sinus venosus at E12.5, then populated the atrial and ventricular CCS components at E14.5, with increasing abundance towards perinatal stages. Further tracing by using DbhCFP reporter and DbhCreERT/Rosa26-tdTomato inducible reporter, we confirmed that Dbh+-CMs are mostly abundant in the AVN and ventricular CCS and this persists in the adult heart. By using DbhCre/Rosa26-tdTomato/Cx40-eGFP compound reporter line, we validated a clear co-localization of tdTomato and eGFP signals in both left and right ventricular Purkinje fibre networks. Finally, electrophysiological optogenetic study using cell-type specific Channelrhodopsin2 (ChR2) expression further elucidated that Dbh+-derived CMs form a functional part of the ventricular CCS and display similar photostimulation-induced electrophysiological characteristics to Cx40CreERT/ChR2-tdTomato CCS components. Thus, by utilizing advanced transcriptomic, mouse genetic, and optogenetic functional analyses, our study provides new insights into mammalian CCS development and heterogeneity by revealing novel Dbh+-CMs. HighlightsO_LIStereo-seq provided a spatiotemporal transcriptomic cell fate map of the murine heart with a panoramic field of view and in situ cellular resolution of the CCS. C_LIO_LIEstablished the transcriptional landscape of cell types populating the developing murine heart. C_LIO_LIRevealed previously unreported catecholaminergic cardiomyocyte populations contributing to the developing and mature murine cardiac conduction system. C_LI

cell biology↗

bioRxiv2022

LSR Targets YAP to Modulate Intestinal Paneth Cell Differentiation

Lipolysis-stimulated lipoprotein receptor (LSR) is a multi-functional protein that is best known for its roles in assembly of epithelial tricellular tight junctions and hepatic clearance of lipoproteins. Here, we investigated whether LSR contributes to intestinal epithelium homeostasis and pathogenesis of intestinal disease. By using multiple conditional deletion mouse models and ex vivo cultured organoids, we find that LSR elimination in intestinal stem cells results in disappearance of Paneth cell without affecting the differentiation of other cell lineages. Mechanistic studies reveal that LSR deficiency increases abundance and nuclear localization of YAP by modulating its phosphorylation and proteasomal degradation. Using gain- and loss-of-function studies we show that LSR protects against necrotizing enterocolitis through enhancement of Paneth cell differentiation in small intestinal epithelium. Thus, this study identifies LSR as an upstream negative regulator of YAP activity, an essential factor for Paneth cell differentiation, and a potential novel therapeutic target for inflammatory bowel disease.

cell biology↗

bioRxiv2022

Genetic, clinical underpinnings of subtle early brain change along Alzheimer's dimensions

Alzheimers disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised clustering technique known as Surreal-GAN, through which we identified two dominant dimensions of brain atrophy in symptomatic mild cognitive impairment (MCI) and AD patients: the "diffuse-AD" (R1) dimension shows widespread brain atrophy, and the "MTL-AD" (R2) dimension displays focal medial temporal lobe (MTL) atrophy. Critically, only R2 was associated with widely known sporadic AD genetic risk factors (e.g., APOE {varepsilon}4) in MCI and AD patients at baseline. We then independently detected the presence of the two dimensions in the early stages by deploying the trained model in the general population and two cognitively unimpaired cohorts of asymptomatic participants. In the general population, genome-wide association studies found 77 genes unrelated to APOE differentially associated with R1 and R2. Functional analyses revealed that these genes were overrepresented in differentially expressed gene sets in organs beyond the brain (R1 and R2), including the heart (R1) and the pituitary gland, muscle, and kidney (R2). These genes were enriched in biological pathways implicated in dendritic cells (R2), macrophage functions (R1), and cancer (R1 and R2). Several of them were "druggable genes" for cancer (R1), inflammation (R1), cardiovascular diseases (R1), and diseases of the nervous system (R2). The longitudinal progression showed that APOE {varepsilon}4, amyloid, and tau were associated with R2 at early asymptomatic stages, but this longitudinal association occurs only at late symptomatic stages in R1. Our findings deepen our understanding of the multifaceted pathogenesis of AD beyond the brain. In early asymptomatic stages, the two dimensions are associated with diverse pathological mechanisms, including cardiovascular diseases, inflammation, and hormonal dysfunction - driven by genes different from APOE - which may collectively contribute to the early pathogenesis of AD.

bioengineering↗

bioRxiv2022

HDL-C as a potential medium between depletion of Lachnospiraceae genera and hypertension under high-calorie diet

Gut microbial dysbiosis has been associated with hypertension. An extremely high incidence of essential hypertension was found in the Han and the Yugur who resided in Sunan county in East Asias nomadic steppes with little population movement. In attempt to investigate the gut microbial role in hypertension, we recruited a total of 1, 242 Yugur and Han people, who had resided in Sunan County for more than 15 years and accounted for 3% of the local population. The epidemiological survey of 1,089 individuals indicated their nearly 1.8 times higher prevalence of hypertension (38.2-43.3%) than the average in China (23.2%), under a special high-calorie diet based on wheat, cattle, mutton, and animal offal. The 16S rRNA gene sequencing on the fecal samples of 153 individuals revealed that certain Lachnospiraceae genera were negatively correlated with high-density lipoprotein cholesterol (HDL-C, P = 5.46 x 10-6), systolic blood pressure (SBP, P = 7.22 x 10-3), diastolic blood pressure (DBP, P = 1.8 x 10-3). HDL-C was positively correlated with SBP (P = 0.023). We further observed that serum butyrate content was lower in both Han (P = 1.99 x 10-3) and Yugur people (P = 0.031) with hypertension than those without hypertension. This study gives a novel insight into the role of gut microbial dysbiosis in hypertension modulation under a high-calorie diet, where the notable depletion of Lachnospiraceae genera might lead to less production of butyrate, contributing to the lower level of HDL-C, and elevating blood pressure in hypertension. IMPORTANCEDietary nutrients can be converted by gut microbiota into metabolites such as short-chain fatty acids, which may serve as disease-preventing agents in hypertension. Due to limited population mobility and a unique high-calorie dietary habit, the recruited cohort in this study could be a representative for elucidating the associations between gut microbiota and hypertension under high-calorie diet. Moreover, low levels of HDL-C have previously been associated with an increased risk of various cardiovascular diseases (CVDs). Our findings provide a new insight that low levels of HDL-C may be a potential medium between depletion of Lachnospiraceae genera and hypertension under high-calorie diet, which might also be a potential candidate for other CVDs.

microbiology↗

bioRxiv2022

Global Spatial Transcriptome of Macaque Brain at Single-Cell Resolution

Global profile of gene expression at single-cell resolution remains to be determined for primates. Using a recently developed technology ("Stereo-seq"), we have obtained a comprehensive single-cell spatial transcriptome map at the whole-brain level for cynomolgus monkeys, with [~]600 genes per cell for 10 m-thick coronal sections (up to 15 cm2 in size). Large-scale single-nucleus RNA-seq analysis for [~]1 million cells helped to identify cell types corresponding to Stereo-seq gene expression profiles, providing a 3-D cell type atlas of the monkey brain. Quantitative analysis of Stereo-seq data revealed molecular fingerprints that mark distinct neocortical layers and subregions, as well as domains within subcortical structures including hippocampus, thalamus, striatum, cerebellum, hypothalamus and claustrum. Striking whole-brain topography and coordinated patterns were found in the expression of genes encoding receptors and transporters for neurotransmitters and neuromodulators. These results pave the way for cellular and molecular understanding of organizing principles of the primate brain.

cell biology↗

bioRxiv2022

Serum profiles of metabolomic and GDF-15 differentiate idiopathic pulmonary fibrosis from other interstital lung diseases: a preliminary study

Objective1.Explore the differential metabolites and metabolic pathways between different interstitial lung disease (ILD) and healthy controls, so as to find out new biomarkers and metabolic pathways of ILD and provide new biological targets for IPF diagnosis and treatment.2.Detect the levels of serum related fibrosis and metabolic indexes of ILD, explore the relationship between these indexes and the types and general parameters of ILD diseases, and focus on GDF-15 on the basis of metabonomics, explore new metabolic pathways related to ILD, and further expound the pathogenesis of idiopathic pulmonary fibrosis. Method1.According to the inclusion criteria and exclusion criteria, the ILD patients admitted to our hospital from January 1, 2021 to January 1, 2022 were signed with informed consent, and all of them had clear multidisciplinary diagnosis. At the same time, the physical examination in the health management center of our hospital was selected as the healthy control group. General clinical data of ILD patients and healthy controls were collected, including gender, age, onset, clinical manifestations, clinical biochemistry, lung function and other related data. Collect patients peripheral venous blood, keep serum samples, and analyze the serum of ILD patients and healthy controls by liquid chromatography-mass spectrometry (LC-MS) to obtain differential metabolites, metabolic maps and related data. According to the diagnosis, the patients were divided into Idiopathic pulmonary fibrosis (IPF), connective tissue disease-associated interstitial lung disease (CTD-ILD), other interstitial lung disease (ILD) patients and healthy control group. R statistical software was used to observe whether there are differential metabolites in IPF group and healthy control group, CTD-ILD group and healthy control group, other ILD groups and healthy control group, IPF group and CTD-ILD group, IPF group and other ILD groups, CTD-ILD group and other ILD groups by using positive and negative ion flow charts and score charts of orthogonal partial least squares-discriminant analysis. And the potential biomarkers were found through the S-plot diagram of OPLS-DA and the variable weight value VIP>1. ROC curve analysis of differential metabolites was carried out by SPSS21.0 software to analyze the value of differential diagnosis and find out new biomarkers with differential diagnosis significance. Based on KEGG database, the metabolic pathway enrichment analysis of differential metabolites was carried out to find out the main metabolic pathways. 2.Serum levels of type I collagen, KL-6, IL-1{beta}, TNF-, IGF-1 and GDF-15 were detected by Enzyme linked immunosorbent assay (ELISA) in all patients and healthy controls. Using SPSS21.0 statistical software and R statistical software, using T-test, variance analysis or nonparametric test method, according to different diagnoses (IPF/CTD-ILD/ other ILD/ healthy control group, ILD/ healthy control group, IPF/ other), the data were analyzed and compared in subgroups. Pearson correlation analysis was used to analyze the correlation between serum biomarkers and other factors such as lung function, metabolomics and so on. ROC curve was used to analyze the diagnostic efficiency of each index, and the best critical value, sensitivity and specificity were found out. Results1.Analysis of general clinical data and clinical indicators: 26 cases of IPF, 21cases of CTD-ILD, 23 cases of others ILD and 20 cases of healthy control group were included, respectively. There were significant differences in age, sex and smoking history among the four groups (P < 0.05), and the differences were statistically significant. There were statistically significant differences among IPF group, CTD-ILD group and other ILD groups in cough and expectoration symptoms, eosinophil count percentage, creatine kinase, creatine kinase isoenzyme, C-reactive protein and carbon monoxide diffusion capacity (DLco) (P < 0.05). 2. Metabonomics analysis: LC-MC total ion flow chart of serum samples and orthogonal partial least squares discriminant analysis (OPLS-DA) of serum samples showed the difference of ion peak intensity, and there were different metabolites among each group. The OPLS-DA model has good quality evaluation and reliable data analysis. There are 193, 115, 101, 188, 148 and 169 differential metabolites in IPF group and healthy control group, IPF group and CTD-ILD group, CTD-ILD group and other ILD groups, others ILD groups and healthy control group respectively. There is a correlation between the differential metabolites of each ILD subgroup and the healthy control group. The most relevant metabolic pathways in IPF mainly include choline metabolic pathway, metabolic pathway and linoleic acid metabolic pathway in cancer. The metabolic pathways most related to CTD-ILD and other ILD include choline metabolic pathway and retrograde neural signal metabolic pathway in cancer. Metabolic pathway and linoleic acid metabolic pathway may distinguish IPF from other ILD. Metabolites involved in metabolic pathway are L-Glutamate, PE(18:3(6Z,9Z,12Z)/P-18:0) and PC (18: 2 (9z, 12z)/20: 2 (11z, 14z)), respectively. There are three differential metabolites of linoleic acid pathway, namely 12,13-EpOME, 13S-HODE and PC(18:2(9Z,12Z)/20:2(11Z,14Z)). There are 35 kinds of differential metabolites in IPF group and healthy control group, and the top three places of AUC are 3- sulfodeoxycholic acid, 20,22-dihydrodigitalis glycoside, ({+/-}14) (15)-EET-SI, with AUC values of 0.985, sensitivity of 100% and specificity of 92.3%. L- acetylcarnitine, 5-hydroxydodecanoate and L-Glutamate are involved in significant enrichment pathways, among which the ROC curve area of L-Glutamate is the largest, with AUC value of 0.921, cutoff value of 40145.490, sensitivity of 80%, specificity of 96%, and participation in metabolic pathways. 3. Serum metabolism-related detection indexes: The six serum detection indexes of IPF group and CTD-ILD group are higher than those of healthy control group, and the difference is statistically significant (P < 0.05), but the difference between IPF group and CTD-ILD group is not statistically significant (P>0.05). The expression of GDF-15 in IPF group and non-IPF ILD group was higher than that in healthy control group, with significant difference, but there was no significant difference between IPF group and non-IPF ILD group. Type I collagen and IL-1{beta} were negatively correlated with DLco. KL-6 is negatively correlated with the measured values of VC and DLco; IGF-1 was negatively correlated with FVC, VC and DLco (all P<0.05). GDF-15 was positively correlated with type I collagen, KL-6, IL-1{beta}, TNF- and IGF-1, and the difference was statistically significant (P < 0.05). ROC curve shows that the area under ROC curve (AUC) of six serum indexes in IPF group is greater than 0.9; In CTD-ILD group, the AUC of IGF-1 was greater than 0.9, the cutoff value was 35.081ng/ml, the sensitivity was 90%, the specificity was 76%, and the area under ROC curve was greater than 0.8, and the difference was statistically significant. In other ILD groups, the ROC curve area of these six indicators ranged from 0.6 to 0.8, among which IGF-1, GDF-15 and TNF- had diagnostic value. In IPF, L-Glutamate was positively correlated with type I collagen, KL-6, IGF-1, IL-1{beta}, TNF- and GDF-15, and the difference was statistically significant (P < 0.05), with the highest correlation with IGF-1. ConclusionIn this study, the serum samples of IPF patients, CTD-ILD patients, other interstitial lung diseases and healthy controls were analyzed by LM-MS and ELISA, and the following conclusions were drawn. 1.There are differences in serum metabolites in different groups. IPF has three main metabolic pathways, namely choline metabolic pathway, metabolic pathway and linoleic acid metabolic pathway in cancer, among which metabolic pathway and linoleic acid metabolic pathway are different from other groups. There are 35 differential metabolites in IPF and healthy control group with the area under ROC curve larger than 0.80, among which the metabolites with the highest diagnostic value are 3- sulfodeoxycholic acid, 20,22-dihydrodigitalis glycoside and ({+/-}) 14 (15)-EET-SI. The AUC value of L- glutamic acid is the highest among the metabolites that participate in the enrichment pathway significantly. 2. The expressions of type I collagen, KL-6, IL-1{beta}, TNF-, IGF-1 and GDF-15 are different in different ILDs, which have potential diagnostic and differential diagnostic value, and are correlated with lung function indexes. In IPF, GDF-15 is positively correlated with L-Glutamate, which may be involved in metabolic pathway to further promote pulmonary fibrosis.

molecular biology↗

bioRxiv2022

CMLD-2 Attenuates Myofibroblast Activation and Bleomycin-Induced Pulmonary Fibrosis in Mice through Antagonizing ELAVL1-Mediated Osteopontin mRNA Stabilization

BackgroundFibroblast-myofibroblasts transition (FMT) is one of the hallmark cellular processes in pulmonary fibrosis. This study is to investigate the effects of CMLD-2 in FMT and pulmonary fibrosis, which antagonizes HuR, a supposedly key regulatory RNA binding protein (RBP). MethodsHuR or other deferentially expressed RBPs during TGF-{beta}1-induced FMT were analyzed by transcriptomic methods, and further validated in vitro or in fibrotic lung specimens. The effects of HuR overexpression, down-regulation or inhibition by an antagonist CMLD-2 were analyzed in FMT or bleomycin-induced experimental lung fibrosis. HuR-targeting RNA and their interactions were analyzed by CLIP-seq. ResultsHuR, hnRNPA1, hnRNPE1, TIA1 and TFRC were significantly up-regulated, while ESRP1, ESRP2 and TTP were significantly down-regulated. Cytoplasmic expression of HuR was activated in IPF lung tissue and rat lungs of bleomycin-induced fibrosis. HuR overexpression induced -SMA and collagen I expression, increased the proliferation and migration capacities of fibroblasts with or without the stimulation of TGF-{beta}1. HuR knockdown by shRNA inhibited the proliferation, transition, collagen production and migration properties in fibroblasts or in TGF-{beta}1-stimulated myofibroblasts. Combinative analysis of RNA-seq and CLIP-seq data revealed major HuR binding motifs and several HuR-bound, differentially expressed mRNAs in FMT, specifically SPP1 mRNA encoding osteopontin. HuR-mediated SPP1 mRNA stabilization was further validated by RIP-PCR and half-life analysis using SPP1 mutant transcripts. Inhibiting HuR using CMLD-2 attenuated SPP1/osteopontin expression, TGF-{beta}1-induced FMT in vitro and bleomycin-induced pulmonary fibrosis in mice. Nuclear-cytoplasmic shuttle of HuR was activated in TGF-{beta}1-induced FMT, which was inhibited by p38MAPK (SB203580) or PKC (Go-6976) inhibition, but not associated with phosphorylation of HuR. ConclusionsFibroblast-myofibroblast transition is activated by HuR-SPP1 mRNA interactions, and CMLD-2 is potentiated to be a therapeutic agent targeting HuR for fibroblast-myofibroblast transition and pulmonary fibrosis.

molecular biology↗

bioRxiv2022

Single-cell transcriptional profiling reveals cellular and molecular divergence in human maternal-fetal interface

Placenta play essential role in successful pregnancy, as the most important organ connecting and interplaying between mother and fetus. However, the cellular and molecular characteristics of fetal origin and maternal origin cell populations within the fetomaternal interface still is poorly understood. Here, we profiled the transcriptomes of single cells with well-defined maternal-fetal origin that consecutively localized from fetal section (FS), middle section (Mid_S) to maternal section (Mat_S) within the human full-term placenta. Then, we initially identified the cellular and molecular heterogeneity of cytotrophoblast cell (CTB) and stromal cell (STR) with the spatial location and fetal/maternal origin, also highlighted STR cells from fetal origins showed greater proliferation ability in Mat_S compared to cells from FS or Mid_S. Further, by integrating analysis with the first-trimester placental single cell transcriptome data, we revealed that a subpopulation of trophoblast progenitor-like cells (TPLCs) existed in the full-term placenta and mainly distributed in Mid_S, with high expression of pool of putative cell surface makers and unique molecular features. Moreover, through the extravillous cytotrophoblast (EVT) subsets differentiation trajectory and regulation network analysis, we proposed a putative key transcription factor PRDM6 that promoted the differentiation of endovascular extravillous trophoblast cells (enEVT). Finally, based on the integrated analyses of single cell transcriptional profiling of preeclampsia (PE) and match-trimester normal placenta, we highlighted the defective EVT subgroup composition and down-regulation of PRDM6 may lead to an abnormal enEVT differentiation process in PE. Together, our study offers important resources for better understanding of human placenta, stem cell-based therapy as well as PE, and provides new insights on the study of tissue heterogeneity, the clinical prevention and control of PE as well as the maternal-fetal interface.

developmental biology↗

bioRxiv2022

Improving the Identification Coverage of Protein Interactome by Enhancing the Click Chemistry-based Cross-linking Enrichment Efficiency

Chemical cross-linking coupled with mass spectrometry has emerged as a powerful strategy which enables global profiling of protein interactome with direct interaction interfaces in complex biological systems. The alkyne-tagged enrichable cross-linkers are preferred to improve the coverage of low-abundance cross-linked peptides, combined with click chemistry for biotin conjugation to allow the cross-linked peptides enrichment. However, a systematic evaluation on the efficiency of click approaches (protein-based or peptide-based) and diverse cleavable click chemistry ligands (acid, reduction, photo) for cross-linked peptides enrichment and release is lacking. Herein, together with in vivo chemical cross-linking by alkyne-tagged cross-linker, we explored the click chemistry-based enrichment approaches on protein and peptide level with three cleavable click chemistry ligands, respectively. By comparison, the approach of protein-based click chemistry conjugation with acid-cleavable tag was demonstrated to permit the most cross-linked peptides identification. The advancement of this strategy enhanced the proteome-wide cross-linking analysis, permitting a detection of 5,017 protein-protein interactions among 1,909 proteins across all subcellular compartments with wide abundance distribution in cell. Therefore, all these results demonstrated a guideline value of our work for efficient cross-linked peptides enrichment, thus facilitated the in-depth profiling of protein interactome for functional analysis. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=67 SRC="FIGDIR/small/475819v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1a7ae4forg.highwire.dtl.DTLVardef@1a4d6d2org.highwire.dtl.DTLVardef@113a0eborg.highwire.dtl.DTLVardef@1a9c193_HPS_FORMAT_FIGEXP M_FIG C_FIG

biochemistry↗

bioRxiv2022

Spatially resolved profiling of protein conformation and interactions by biocompatible chemical cross-linking in living cells

The protein structures and interactions that maintain and regulate cellular processes in different subcellular organelles are heterogeneous and dynamic. However, it remains challenging to characterize the subcellular specificity and translocation of protein complexes in terms of conformation and interactions. Herein, we developed a spatially resolved protein complex profiling approach by biocompatible chemical cross-linking in living cells (SPACX) to monitor the dynamics of protein conformation, interactions and translocation. The advancement of fast capturing protein complexes in the physiological state, coupled with efficient enrichment of the cross-linked peptides, ensured deep-coverage analysis of the protein interactome in living cells. By ensemble structure refinement with cross-linking restraints, subcellular-specific conformation heterogeneity was identified for PTEN. PTEN displayed a broader range of dynamic conformation changes on the dual specificity domains in the nucleus than in the cytoplasm. Moreover, based on conformational differences, different interacting assemblies involving 25 cytoplasm-exclusively and 18 nucleus-exclusively PTEN-interacting proteins were found to account for diverse biological functions. Upon ubiquitin-proteasome system (UPS) stress, the assembly of PTEN and its interacting partners changed obviously during translocation. We newly identified 36 PTEN-interacting proteins, which were found to be highly enriched in functional pathways closely related to cell apoptosis. Inspiringly, the interactions among PTEN isoforms and their interacting proteins were accessible by the determination of sequence-unique cross-linking interfaces for direct interactions. All these results indicate the promise of SPACX to elucidate the functional heterogeneity of proteins in individual subcellular sociology.

biochemistry↗

bioRxiv2021

Single-cell Transcriptomic Analysis Reveals the Cellular Heterogeneity of Mesenchymal Stem Cells

Ex vivo-expanded mesenchymal stem cells (MSCs) have been demonstrated to be a heterogeneous mixture of cells exhibiting varying proliferative, multipotential, and immunomodulatory capacities. However, the exact characteristics of MSCs remain largely unknown. By single-cell RNA sequencing of 61,296 MSCs derived from bone marrow and Whartons jelly, we revealed five distinct subpopulations. The developmental trajectory of these five MSC subpopulations were mapped, revealing a differentiation path from stem-like active proliferative cells (APCs) to multipotent progenitor cells, followed by the branching into two paths - adipogenesis or osteochondrogenesis - and subsequent differentiation into unipotent prechondrocytes. The stem-like APCs, expressing the perivascular mesodermal progenitor markers CSPG4/MCAM/NES, uniquely exhibited strong proliferation and stemness signatures. Remarkably, the prechondrocyte subpopulation specifically expressed immunomodulatory genes and was able to suppress activated CD3+ T cell proliferation in vitro, supporting the role of this population in immunoregulation. In summary, our analysis mapped the heterogeneous subpopulations of MSCs and identified two subpopulations with potential functions in self-renewal and immunoregulation. Our findings advance the definition of MSCs by identifying the specific functions of its heterogeneous cellular composition, allowing for more specific and effective MSC application through the purification of its functional subpopulations.

cell biology↗

bioRxiv2021

Determining the architecture of nuclear ring of Xenopus laevis nuclear pore complex using integrated approaches

The nuclear pore complexes (NPCs) are large protein assemblies as a physical gate to regulate nucleocytoplasmic transport. Here, using integrated approaches including cryo-electron microscopy, hybrid homology modeling and cell experiment, we determined the architecture of the nuclear ring (NR) from Xenopus laevis oocytes NPC at subnanometer resolution. In addition to the improvement of the Y complex model, eight copies of Nup205 and ELYS were assigned in NR. Nup205 connects the inner and outer Y complexes and contributes to the assembly and stability of the NR. By interacting with both the inner Nup160 and the nuclear envelope (NE), the N-terminal {beta}-propeller and -solenoid domains of ELYS were found to be essential for accurate assembly of the NPC on the NE.

molecular biology↗

bioRxiv2021

High-resolution spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae

Drosophila has long been a successful model organism in multiple fields such as genetics and developmental biology. Drosophila genome is relatively smaller and less redundant, yet largely conserved with mammals, making it a productive model in studies of embryogenesis, cell signaling, disease mechanisms, etc. Spatial gene expression pattern is critical for understanding of complex signaling pathways and cell-cell interactions, whereas temporal gene expression changes need to be tracked during highly dynamic activities such as tissue development and disease progression. Systematic studies in Drosophila as a whole are still impeded by lack of these spatiotemporal transcriptomic information. Drosophila embryos and tissues are of relatively small size, limiting the application of current technologies to comprehensively resolve their spatiotemporal gene expression patterns. Here, utilizing SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), we dissected the spatiotemporal transcriptomic changes of developing Drosophila with high resolution and sensitivity. Our data recapitulated the spatial transcriptomes of embryonic and larval development in Drosophila. With these data, we identified known and previously undetected subregions in several tissues during development, and revealed known and potential gene regulatory networks of transcription factors within their topographic background. We further demonstrated that Stereo-seq data can be used for 3D reconstruction of Drosophila embryo spatial transcriptomes. Our data provides Drosophila research community with useful resources of spatiotemporally resolved transcriptomic information across developmental stages.

developmental biology↗

bioRxiv2021

Retinoids rescue ceruloplasmin secretion and alleviate oxidative stress in Wilson's disease-specific hepatocytes

Wilsons disease (WD) is a copper metabolic disorder, which is caused by defective ATP7B function. Here, we have generated induced pluripotent stem cells (iPSCs) from WD patients carrying compound heterozygous mutations on ATP7B. ATP7B loss- and gain-of-functions were further manifested with ATP7B-deficient iPSCs and heterozygously-corrected R778L WD patient-derived iPSCs using CRISPR-Cas9-based gene editing. Transcriptome analysis identified abnormalities of retinoid signaling pathway and lipid metabolism in WD-specific hepatocytes. Although the expression level of ATP7B protein was variable among WD-specific hepatocytes, the expression and secretion of ceruloplasmin (Cp), which is a downstream copper carrier in plasma, were consistently decreased. Cp secretion-based drug screening identified all-trans retinoic acid (ATRA) as promising candidates for rescuing Cp secretion. ATRA also alleviated reactive oxygen species (ROS) production induced by lipid accumulation in WD-specific hepatocytes. Our patient-derived iPSC-based hepatic models provide potential therapeutics for liver steatosis in WD and other fatty liver diseases.

cell biology↗