Search bioRxiv⌕ Search

Biology subjects

Jin, X.

Publications and source records attributed to Jin, X..

At least 109 records · Page 6Linked to original sources

Uncovering disease-related multicellular pathway modules on large-scale single-cell transcriptomes with scPAFA

Pathway analysis is a crucial analytical phase in disease research on single-cell RNA sequencing (scRNA-seq) data, offering biological interpretations based on prior knowledge. However, currently available tools for generating cell-level pathway activity scores (PAS) exhibit computational inefficacy in large-scale scRNA-seq datasets. Besides, disease-related pathways are commonly identified by cross-condition comparisons in each cell type, neglecting the potential multicellular patterns. Here, we present single-cell pathway activity factor analysis (scPAFA), a Python library designed for large-scale single-cell dataset allowing rapid PAS computation and uncovering biologically interpretable disease-related multicellular pathway modules, which are low-dimensional representations of disease-related PAS variance in multiple cell types. Application on colorectal cancer (CRC) dataset with 371,223 cells and large-scale lupus atlas over 1.2 million cells demonstrated that scPAFA can achieve > 33-fold decreases in runtime of PAS computation and further identified reliable and interpretable multicellular pathway modules that capture the transcriptomic features of CRC tumor status and transcriptional abnormalities in lupus patients, respectively.

bioinformatics↗

The immune map of human body

The immune system serves as a vital defense mechanism against diseases and infections for human bodies, comprised of a complex network of diverse cells, organs, and tissues. Here, we conduct single-cell deconvolution of 17382 RNA-seq samples from 30 tissues and construct a comprehensive map of the distributions of >1000 different cell states across all the major immune cell types throughout human bodies. This high-resolution immune map covers both sexes and a wide range of ages, enabling interrogation of the immune responses to sex differences and age-related changes. Similarity analysis among the different tissue types depicts the tissue-specific immunity of testis, liver, lung, brain, and kidney besides blood and spleen, and the high immune similarity between breast and adipose tissues for example. This comprehensive immune map may deepen our understanding of human immune system from a holistic perspective.

bioinformatics↗

Neuronal-class specific molecular cues drive differential myelination in the neocortex

In the neocortex, oligodendrocytes produce distinct amounts of myelin in each cortical layer and along the axons of individual neuron types. Here we present a comprehensive single-cell molecular map of mouse cortical oligodendrocytes across different cortical layers and stages of myelination, spanning the initiation of cortical myelination into adulthood. We apply this dataset to show that neuron-class specific signals drive oligodendrocyte maturation and differential myelination across cortical layers. We find that each layer contains a similar compendium of oligodendrocyte classes, indicating that oligodendrocyte heterogeneity cannot explain layer-specific myelination. To evaluate whether neuronal diversity drives differential myelination across cortical layers, we generated a predicted ligand-receptor interactome between projection neuron types and oligodendrocyte states, across cortical layers and time. In vivo functional testing identified Fgf18, Ncam1, and Rspo3 as novel, neuron-derived pro-myelinating signals. Our results highlight neuron-class-dependent control of myelin distribution in the neocortex.

neuroscience↗

PI3K/HSCB axis facilitates FOG1 nuclear translocation to promote erythropoiesis and megakaryopoiesis

Erythropoiesis and megakaryopoiesis are stringently regulated by signaling pathways. However, the precise molecular mechanisms through which signaling pathways regulate key transcription factors controlling erythropoiesis and megakaryopoiesis remain partially understood. Herein, we identified heat shock cognate B (HSCB), which is well known for its iron-sulfur cluster delivery function, as an indispensable protein for friend of GATA 1 (FOG1) nuclear translocation during erythropoiesis of K562 human erythroleukemia cells and cord-blood-derived human CD34+CD90+ hematopoietic stem cells (HSCs), as well as during megakaryopoiesis of the CD34+CD90+ HSCs. Mechanistically, HSCB could be phosphorylated by phosphoinositol-3-kinase (PI3K) to bind with and mediate the proteasomal degradation of transforming acidic coiled-coil containing protein 3 (TACC3), which otherwise detained FOG1 in the cytoplasm, thereby facilitating FOG1 nuclear translocation. Given that PI3K is activated during both erythropoiesis and megakaryopoiesis, and that FOG1 is a key transcription factor for these processes, our findings elucidate an important, previously unrecognized iron-sulfur cluster delivery independent function of HSCB in erythropoiesis and megakaryopoiesis.

molecular biology↗

Charting the Spatial Transcriptome of the Human Cerebral Cortex at Single-Cell Resolution

In our pursuit of creating a comprehensive human cortical atlas to understand human intelligence, we examined the single-nuclei transcriptomes of 307,738 cells alongside spatial transcriptomics data from 46,948 VISIUM spots and 1,355,582 Stereo cells. Atlases reveal distinct expression patterns and spatial arrangements of cortical neural cell types. Glutamatergic neurons exhibit precise laminar patterns, often mirroring expression patterns in adjacent cortical regions. Overlaying our atlas with functional networks delineated substantial correlations between neural cell types and cortical region function. Notably, regions involved in processing sensory information (pain) display a pronounced accumulation of extratelencephalic neurons. Additionally, our atlas enabled precise localization of the thicker layer 4 of the visual cortex and an in-depth study of the stabilize the subplate structure, known as layer 6b, revealed specific marker genes and cellular compositions. Collectively, our research sheds light on the cellular foundations of the intricate and intelligent regions within the human cortex.

neuroscience↗

Circuit mechanism underlying fragmented sleep and memory deficits in 16p11.2 deletion mouse model of autism

Sleep disturbances are prevalent in children with autism spectrum disorder (ASD) and have a major impact on the quality of life. Strikingly, sleep problems are positively correlated with the severity of ASD symptoms, such as memory impairment. However, the neural mechanisms underlying sleep disturbances and cognitive deficits in ASD are largely unexplored. Here, we show that non-rapid eye movement sleep (NREMs) is highly fragmented in the 16p11.2 deletion mouse model of ASD. The degree of sleep fragmentation is reflected in an increased number of calcium transients in the activity of locus coeruleus noradrenergic (LC-NE) neurons during NREMs. Exposure to a novel environment further exacerbates sleep disturbances in 16p11.2 deletion mice by fragmenting NREMs and decreasing rapid eye movement sleep (REMs). In contrast, optogenetic inhibition of LC-NE neurons and pharmacological blockade of noradrenergic transmission using clonidine reverse sleep fragmentation. Furthermore, inhibiting LC-NE neurons restores memory. Rabies-mediated unbiased screening of presynaptic neurons reveals altered connectivity of LC-NE neurons with sleep- and memory regulatory brain regions in 16p11.2 deletion mice. Our findings demonstrate that heightened activity of LC-NE neurons and altered brain-wide connectivity underlies sleep fragmentation in 16p11.2 deletion mice and identify a crucial role of the LC-NE system in regulating sleep stability and memory in ASD.

neuroscience↗

Utilizing Non-Invasive Prenatal Test Sequencing Data Resource for Human Genetic Investigation

Non-invasive prenatal testing (NIPT) employs ultra-low-pass sequencing of maternal plasma cell-free DNA to detect fetal trisomy. With exceptional sensitivity, specificity, and safety, NIPT has gained global adoption, exceeding ten million tests, establishing it as one of the largest human genetic resources. This resource holds immense potential for exploring population genetic variations and their correlations with phenotypes. Here, we present comprehensive methods tailored for analyzing large, low-depth NIPT genetic datasets, involving customized algorithms and software for genetic variation detection, genotype imputation, and genome-wide association analysis. Through evaluations, we demonstrate that, when integrated with appropriate probabilistic models and population-specific haplotype reference panels, accurate allele frequency estimation and high genotype imputation accuracy (0.8 to 0.9) are achievable for genetic variants with alternative allele frequencies between 0.01 and 0.05, at sequencing depths of 0.1x to 0.25x. Additionally, we attained an R-square exceeding 0.9 for estimating genetic effect sizes across various sequencing platforms. These findings establish a robust theoretical and practical foundation for leveraging NIPT data in advancing medical genetic studies, not only in realms of maternal and child health, but also for long-term health outcomes. HighlightsO_LIIntroduction of probabilistic model integration for analyzing large-scale, low-pass non-invasive prenatal test (NIPT) sequencing data C_LIO_LIEvaluation of protocols for variant detection, genotype imputation, and genome-wide association analyses with NIPT data C_LI

bioinformatics↗

A genome-wide association study of neonatal metabolites

The hereditary component significantly influences the concentration of metabolites in adults. Nevertheless, the precise influence of genetic factors on neonatal metabolites remains uncertain. To bridge this gap, we employed genotype imputation techniques on large-scale low-pass genome data obtained from non-invasive prenatal testing. Subsequently, we conducted association studies on a total of 75 metabolic components in neonates. The study identified a total 17 previous reported associations and 13 novel discovered associations between single nucleotide polymorphisms and metabolic components. These associations were initially found in the discovery cohort (8,744 participants) and subsequently confirmed in a replication cohort (19,041 participants). The average heritability of metabolic components was calculated to be 76.2%, with a range of 69-78.8%. The aforementioned findings offer valuable insights pertaining to the genetic architecture of neonatal metabolism. In BriefLarge-scale genomes of maternal non-invasive prenatal testing provide insights into the genetic contribution to neonatal metabolism. HighlightsGWAS of 27,785 low-pass genomes revealed 13 novel associations of neonatal metabolic components. Estimated an average of 76.2% heritability of neonatal metabolic components and showed the individual concentration can be accurately predicted from polygenic risk scores. A total of 17 established relationships have been observed, providing evidence that maternal genomes can be utilized in neonatal metabolite GWAS.

genetics↗

A primary culture method for the easy, efficient and effective acquisition of oligodendrocyte lineage cells

Oligodendrocytes (OL) are myelin forming glial cells in the central nervous system. In vitro primary OL culture models provide the benefit of a more readily controlled environment facilitating the evaluation of diverse OL stages and convoluted dynamics. Conventional methods of primary OL culture do exist, but their performance in terms of efficiency and simplicity has room for improvement. We present a novel method of primary OL culture, namely the E3 (Easy, efficient, and effective) method, which greatly improves cell yield and reduces time required to oligodendrocyte progenitor cell (OPC) acquisition and maturation into OLs. We also provide optimal media compositions for augmentation of OPC proliferation and a more robust maturation into myelin forming OLs. In vitro characteristics of the OL lineage discovered during the development of the E3 method present implications for further research on OL physiology and pathophysiology.

neuroscience↗

Asymmetric cortical projections to striatal direct and indirect pathways distinctly control actions

The striatal direct and indirect pathways constitute the core for basal ganglia function in action control. Although both striatal D1- and D2-spiny projection neurons (SPNs) receive excitatory inputs from the cerebral cortex, whether or not they share inputs from the same cortical neurons, and how pathway-specific corticostriatal projections control behavior remain largely unknown. Here using a G-deleted rabies system in mice, we found that more than two-thirds of excitatory inputs to D2-SPNs also target D1-SPNs, while only one-third do so vice versa. Optogenetic stimulation of striatal D1- vs. D2-SPN-projecting cortical neurons differently regulate locomotion, reinforcement learning and sequence behavior, implying the functional dichotomy of pathway-specific corticostriatal subcircuits. These results reveal the partially segregated yet asymmetrically overlapping cortical projections on striatal D1- vs. D2-SPNs, and that the pathway-specific corticostriatal subcircuits distinctly control behavior. It has important implications in a wide range of neurological and psychiatric diseases affecting cortico-basal ganglia circuitry. In BriefKlug, Yan et al. employed a modified rabies system in combination with slice physiology, optogenetics and behavioral tests to reveal that pathway-specific corticostriatal subcircuits distinctly control actions. HighlightsO_LIOne-third of the excitatory inputs to D1-SPNs project to D2-SPNs, while two-third of the excitatory inputs to D2-SPNs also target D1-SPNs C_LIO_LIActivation of D1-SPN projecting cortical neurons triggers behavioral effects in line with postsynaptic striatal direct pathway activation C_LIO_LIActivation of D2-SPN projecting cortical neurons causes behavioral effects similar with co-activation of both direct and indirect pathways C_LIO_LICorticostriatal subcircuits control actions in a brain-region and pathway-specific manner C_LI

neuroscience↗

Maturation and detoxification of synphilin-1 inclusion bodies regulated by sphingolipids

Due to proteostasis stress induced by aging or disease, misfolded proteins can form toxic intermediate species of aggregates and eventually mature into less toxic inclusion bodies (IBs). Here, using a yeast imaging-based screen, we identified 84 potential synphilin-1 (SY1) IB regulators and isolated the conserved sphingolipid metabolic components in the most enriched groups. Furthermore, we show that, in both yeast cells and mammalian cells, SY1 IBs are associated with mitochondria. Pharmacological inhibition of the sphingolipid metabolism pathway or knockout of its key genes results in a delayed IB maturation and increased SY1 cytotoxicity. We postulate that SY1 IB matures by association with the mitochondrion membrane, and that sphingolipids stimulate the maturation via their membrane-modulating function and thereby protecting cells from SY1 cytotoxicity. Our findings identify a conserved cellular component essential for IB maturation and suggest a mechanism by which cells may detoxify the pathogenic protein aggregates through forming mitochondrion-associated IBs.

cell biology↗

Adaptive immunity: from CRISPR to CRIHSP?

Clustered regularly interspaced short palindromic repeats (CRISPR) confer adaptive immunity in prokaryotes against viral infection and plasmid transformation. Here, we identified abundant clustered regularly interspaced homologous stem-loop pairs (CRIHSP) within human adaptive immunity-related genes, such as antigen receptor germline genes. By examining genomic stability under activation-induced cytidine deaminase (AID) overexpression, we found that CRIHSP structures are preferred targets for AID. Through collecting and analyzing cancer cell genomic mutation databases, we discovered that these mutation sites tend to cluster toward stem-loop structures. Importantly, the frequency of stem-loop sequences within immunoglobulin heavy chain variable (IGHV) gene segments was over 3-fold higher compared to that within other regions. We concurrently observed stem-loop structures frequently flanking RSS motifs. Conservative estimates indicate a 74.07% probability of immunoglobulin heavy chain diversity (IGHD) gene segment enclosure within stem-loop. These RSS-proximal stem-loops may assemble into homologous stem-loop pair (HSP)-like intermediates and subsequent CRIHSP arrays. Our results implicate CRIHSP architectures as critical enhancer of antigen receptor gene recombination and diversification. Further molecular dissection of these processes could potentially elucidate mechanisms underlying cancer cell genomic instability, chromatin folding and dynamic regulation, gene expression control, etc.

immunology↗

A muscle hypertrophy-derived myokine reprograms the stromal vascular fractions differentiation towards thermogenic adipocytes in subcutaneous adipose tissue

Skeletal muscle plays a significant role in both local and systemic energy metabolism; however, the cross-talk between skeletal muscle and adipose tissue remains largely unexplored. In this study, we identify the HIF2-Bambi-Thbs4 axis as a critical driver of muscle hypertrophy and metabolic improvement. Deletion of Bambi induces muscle hypertrophy and oxidative switching, thereby enhancing local and systemic metabolism under conditions of rodent chow and high-fat diets (HFD). Other than the metabolic regulation of skeletal muscle hypertrophy, we hypothesize that a portion of this improvement may be attributed to the metabolic reprogramming of the stromal vascular fraction (SVFs) of iWAT, promoting the development of beige adipocytes. Leveraging multi-omics approaches, we establish Thbs4 as a newly identified, muscle hypertrophy-derived myokine that serves as an essential regulator of this metabolic reprogramming. Thbs4 is upregulated in skeletal muscle during hypertrophy and aerobic exercise, localizes to the iWAT membrane, and facilitates the transformation of white adipocytes into beige adipocytes under conditions such as cold exposure, muscle hypertrophy, or aerobic exercise. Moreover, overexpression of Thbs4 elevates its plasma levels and leads to the transformation of white to beige adipocytes, therefore offering long-term protection against HFD-induced metabolic disorders. Conversely, Thbs4 knockout (Thbs4-KO) disrupts the metabolic reprogramming of SVFs and exacerbates metabolic syndromes induced by an HFD, mirroring the observed decline in Thbs4 levels in aged mice. Therefore, our findings underscore Thbs4s potential as both a long-term metabolic protective factor and a therapeutic target for the treatment of metabolic disorders. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=197 HEIGHT=200 SRC="FIGDIR/small/558627v1_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@1178e6org.highwire.dtl.DTLVardef@1184d4eorg.highwire.dtl.DTLVardef@7b592aorg.highwire.dtl.DTLVardef@1b0b03_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIBambi, a direct target gene of HIF2 in skeletal muscle, when deleted, triggers muscle hypertrophy and the transformation of white into beige adipocytes, improving systemic energy metabolism. C_LIO_LIThe metabolic reprogramming of stromal vascular fractions (SVFs) contributes to the observed improvements in energy metabolism and adipocyte hyperplasia. C_LIO_LIThbs4, a novel myokine produced in skeletal muscle during hypertrophy and aerobic exercise, plays a key role in the transformation of white into beige adipocytes. C_LIO_LIOverexpression of Thbs4 provides enduring protection against high-fat diet (HFD)-induced metabolic disorders, demonstrating its potential as a therapeutic target. C_LIO_LIThbs4 deletion abrogates the beneficial metabolic reprogramming of SVFs and exacerbates HFD-induced metabolic syndromes, further underlining its crucial role in metabolic regulation. C_LI

physiology↗

Regulatory Mechanisms Orchestrating Cellular Diversity in Cd36+ Olfactory Sensory Neurons Revealed by Single-Cell Multi-omics Analysis.

The olfactory system relies on the precise expression of olfactory receptor (OR) genes in individual olfactory sensory neurons (OSNs) to detect and discriminate a vast array of odorants. Recent discoveries have revealed remarkable complexity and diversity within OSNs, including the existence of two distinct OSN populations based on high-affinity receptor Cd36 expression. However, the regulatory mechanisms governing this cellular diversity in the same cell type remain elusive. To address these questions, we conducted single-cell multi-omics analyses of mature OSNs in the mouse olfactory epithelium. Firstly, we systematically revealed the transcriptome diversity and spatial distribution of Cd36+ OSNs and found a specific subset of olfactory receptors co-expressed with Cd36 in a deterministic manner. scATAC-seq profiling of chromatin landscape demonstrated a divergence between Cd36+ OSNs and Cd36- OSNs, including differential accessibility of cis-elements. By integrating transcriptome and epigenome profiling of OSN lineage-associated cell types, we revealed that the processes governing this diversity are initiated at the immature OSNs stage, where cellular diversity was first set by the lineage-specific binding of Lhx2 at Hdac9 enhancer. Hdac9, which is specifically expressed in the Cd36- OSN lineage, functions as a histone deacetylase and may repress the transcription of Mef2-dependent genes that contribute to Cd36+ OSN diversity. By gene regulation network analysis, we revealed Mef2a and Tshz1 as the key transcription factors, orchestrating the transcriptome diversity of Cd36+ OSNs. Remarkably, we identified and confirmed Tshz1 as a critical transcription factor that directly promotes Cd36 expression in OSNs through enhancer binding. Our study unravels the intricate regulatory landscape and principles governing cellular diversity in the olfactory system. These findings provide valuable insights into the regulation principles underlying neuronal heterogeneity and its functional implications.

neuroscience↗

Massively parallel in vivo Perturb-seq reveals cell type-specific transcriptional networks in cortical development

Systematic analysis of gene function across diverse cell types in vivo is hindered by two challenges: obtaining sufficient cells from live tissues and accurately identifying each cells perturbation in high-throughput single-cell assays. Leveraging AAVs versatile cell type tropism and high labeling capacity, we expanded the resolution and scale of in vivo CRISPR screens: allowing phenotypic analysis at single-cell resolution across a multitude of cell types in the embryonic brain, adult brain, and peripheral nervous system. We undertook extensive tests of 86 AAV serotypes, combined with a transposon system, to substantially amplify labeling and accelerate in vivo gene delivery from weeks to days. Using this platform, we performed an in utero genetic screen as proof-of-principle and identified pleiotropic regulatory networks of Foxg1 in cortical development, including Layer 6 corticothalamic neurons where it tightly controls distinct networks essential for cell fate specification. Notably, our platform can label >6% of cerebral cells, surpassing the current state-of-the-art efficacy at <0.1% (mediated by lentivirus), and achieve analysis of over 30,000 cells in one experiment, thus enabling massively parallel in vivo Perturb-seq. Compatible with various perturbation techniques (CRISPRa/i) and phenotypic measurements (single-cell or spatial multi-omics), our platform presents a flexible, modular approach to interrogate gene function across diverse cell types in vivo, connecting gene variants to their causal functions.

neuroscience↗

Inferring cell trajectories of spatial transcriptomics via optimal transport analysis

The integration of cell transcriptomics and spatial coordinates to organize differentiation trajectories remains a challenge. Here we introduce spaTrack, a trajectory inference method using optimal transport to incorporate both transcriptomics and distance of spatial transcriptomics sequencing data into transition costs. spaTrack could construct fine spatial trajectories reflecting the true differentiation topology, as well as trace cell dynamics across multiple samples with temporal intervals. To capture the dynamic drivers, spaTrack models the cell fate as a function of expression profile along temporal intervals driven by transcription factors. Applying spaTrack, we successfully disentangle spatiotemporal trajectories of axolotl telencephalon regeneration and mouse midbrain development. Furthermore, we uncover diverse malignant lineages expanding in a primary tumor. One of the lineages with upregulated extracellular matrix organization implants to the metastatic site and subsequently colonizes to a secondary tumor. Overall, spaTrack greatly facilitates trajectory inference from spatial transcriptomics, providing insights in cell differentiation of broad areas.

bioinformatics↗

Overexpression of ZmSTOP1-A Enhances Aluminum Tolerance in Arabidopsis by Stimulating Organic Acid Secretion and Reactive Oxygen Species Scavenging

Aluminum (Al) toxicity and low pH are major factors limiting plant growth in acidic soils. Sensitive to Proton Rhizotoxicity 1 (STOP1) transcription factor respond to these stresses by regulating the expression of multiple Al- or low pH-responsive genes. ZmSTOP1-A, a STOP1-like protein from maize (Zea mays), was localized to the nucleus and had transactivation activity. ZmSTOP1-A was expressed moderately in both roots and shoots of maize seedlings, but was not induced by Al stress or low pH. Overexpression of ZmSTOP1-A in Arabidopsis Atstop1 mutant partially restored Al tolerance and completely low pH tolerance with respect to root growth. Regarding Al tolerance, ZmSTOP1-A/Atstop1 plants showed clear upregulation of organic acid transporter genes, and leading to increased organic acid secretion and reduced Al accumulation in roots. Besides, the antioxidant enzyme activity in roots and shoots of ZmSTOP1-A/Atstop1 plants was significantly enhanced, ultimately alleviating Al toxicity via scavenging reactive oxygen species. Similarly, ZmSTOP1-A could directly activate ZmMATE1 expression in maize, positively correlated with the number of Al-responsive GGNVS cis-element in the ZmMATE1 promoter. Our results revealed that ZmSTOP1-A antagonizes Al toxicity by enhancing organic acid secretion and reactive oxygen species scavenging in Arabidopsis, demonstrating that it is an important transcription factor conferring Al tolerance. Our findings help to comprehensively elucidate the role of STOP1-like transcript factor in enabling plants to detoxifying Al.

molecular biology↗

Metagenomic analysis of individual mosquitos reveals the ecology of insect viruses

Mosquito transmitted viruses are responsible for an increasing burden of human disease. Despite this, little is known about the diversity and ecology of viruses within individual mosquito hosts. Using a meta-transcriptomic approach, we analysed the virome of 2,438 individual mosquitos (79 species), spanning [~]4000 km along latitudes and longitudes in China. From these data we identified 393 core viral species associated with mosquitos, including seven (putative) arbovirus species. We identified potential species and geographic hotspots of viral richness and arbovirus occurrence, and demonstrated that host phylogeny had a strong impact on the composition of individual mosquito viromes. Our data revealed a large number of viruses shared among mosquito species or genera, expanding our knowledge of host specificity of insect-associated viruses. We also detected multiple virus species that were widespread throughout the country, possibly facilitated by long-distance mosquito migrations. Together, our results greatly expand the known mosquito virome, linked the viral diversity at the scale of individual insects to that at a country-wide scale, and offered unique insights into the ecology of viruses of insect vectors.

ecology↗