Biology subjects

Ma, L.

Publications and source records attributed to Ma, L..

At least 253 records · Page 14Linked to original sources

bioRxiv2021

BAI-Net: Individualized Human Cerebral Cartography using Graph Convolutional Network

Brain atlas is an important tool in the diagnosis and treatment of neurological disorders. However, due to large variations in the organizational principles of individual brains, many challenges remain in clinical applications. Brain atlas individualization network (BAI-Net) is an algorithm that subdivides individual cerebral cortex into segregated areas using brain morphology and connectomes. BAI-Net integrates topological priors derived from a group atlas, adjusts the areal probability using the connectivity context derived from diffusion tractography, and provides reliable and explainable individualized brain parcels across multiple sessions and scanners. We demonstrate that BAI-Net outperforms the conventional iterative clustering approach by capturing significantly heritable topographic variations in individualized cartographies. The topographic variability of BAI-Net cartographies shows strong associations with individual variability in brain morphology, connectivity fingerprints and cognitive behaviors. This study provides a new framework for individualized brain cartography and paves the way of atlas-based precision medicine in clinical practice.

neuroscience↗

bioRxiv2021

Double nicking by RNA-directed Cascade-nCas3 for high-efficiency large-scale genome engineering

New CRISPR-based genome editing technologies are developed to continuedly drive advances in life sciences, which, however, are predominantly derived from systems of Type II CRISPR-Cas9 and Type V CRISPR-Cas12a for eukaryotes. Here we report a novel CRISPR-n(nickase)Cas3 genome editing tool established upon an endogenous Type I system of Zymomonas mobilis. We demonstrate that nCas3 variants can be created by alanine-substituting any catalytic residue of the Cas3 helicase domain. While nCas3 overproduction via plasmid shows severe cytotoxicity; an in situ nCas3 introduces targeted double-strand breaks, facilitating genome editing, without visible cell killing. By harnessing this CRISPR-nCas3, deletion of genes or genomic DNA stretches can be consistently accomplished with near-100% efficiencies, including simultaneous removal of two large genomic fragments. Our work describes the first establishment of a CRISPR-nCas3-based genome editing technology, thereby offering a simple, easy, yet useful approach to convert many endogenous Type I systems into advanced genome editing tools. We envision that many CRISPR-nCas3-based toolkits would be soon available for various industrially important non-model bacteria that carry active Type I systems to facilitate high-throughput prokaryotic engineering.

microbiology↗

bioRxiv2021

Polybasic patches in both C2 domains of Synaptotagmin-1 are required for evoked neurotransmitter release

Synaptotagmin-1 (Syt1) is a vesicular calcium sensor required for synchronous neurotransmitter release. It is composed of a single-pass transmembrane domain linked to two tandem C2 domains (C2A and C2B) that bind calcium, acidic lipids, and SNARE proteins that drive fusion of the synaptic vesicle with the plasma membrane. Despite its essential role, how Syt1 couples calcium entry to synchronous release is not well understood. Calcium binding to C2B, but not to C2A, is critical for synchronous release and C2B additionally binds the SNARE complex. The C2A domain is also required for Syt1 function, but it is not clear why. Here we asked what critical feature of C2A may be responsible for its functional role, and compared this to the analogous feature in C2B. We focused on highly conserved poly-lysine patches located on the sides of C2A (K189-192) and C2B (K324-327). We tested effects of charge-neutralization mutations in either region (Syt1K189-192A and Syt1K326-327A) side-by-side to determine their relative contributions to Syt1 function in cultured cortical mouse neurons and in single-molecule experiments. Combining electrophysiological recordings and optical tweezers measurements to probe dynamic single C2 domain-membrane interactions, we show that both C2A and C2B polybasic patches contribute to membrane binding, and both are required for evoked release. The readily releasable vesicle pool or spontaneous release were not affected, so both patches are specifically required for synchronization of release. We suggest these patches contribute to cooperative binding to membranes, increasing the overall affinity of Syt1 for negatively charged membranes and facilitating evoked release. Significance StatementSynaptotagmin-1 is a vesicular calcium sensor required for synchronous neurotransmitter release. Its tandem cytosolic C2 domains (C2A and C2B) bind calcium, acidic lipids, and SNARE proteins that drive fusion of the synaptic vesicle with the plasma membrane. How calcium-binding to Synaptotagmin-1 leads to release and the relative contributions of the two C2 domains is not clear: unlike C2B, calcium-binding to C2A is not critical for evoked release, yet both domains are needed for Syt1 function. Combining electrophysiological recordings from cultured neurons and optical tweezers measurements that probe single C2 domain-membrane interactions, we show that conserved polybasic regions in both domains contribute to membrane binding cooperatively, and both are required for evoked release, likely by increasing the overall affinity of Synaptotagmin-1 for negatively charged membranes.

neuroscience↗

bioRxiv2021

Selective sorting of microRNAs into exosomes by phase-separated YBX1 condensates

Exosomes may mediate cell-to-cell communication by transporting various proteins and nucleic acids to neighboring cells. Some protein and RNA cargoes are significantly enriched in exosomes. How cells efficiently and selectively sort them into exosomes remains incompletely explored. Previously we reported that YBX1 is required in sorting of miR-223 into exosomes. Here we show that YBX1 undergoes liquid-liquid phase separation (LLPS) in vitro and in cells. YBX1 condensates selectively recruit miR-223 in vitro and into exosomes secreted by cultured cells. Point mutations that inhibit YBX1 phase separation impair the incorporation of YBX1 protein into biomolecular condensates formed in cells, and perturb miR-233 sorting into exosomes. We propose that phase separation-mediated local enrichment of cytosolic RNA binding proteins and their cognate RNAs enables their targeting and packaging by vesicles that bud into multivesicular bodies. This provides a possible mechanism for efficient and selective engulfment of cytosolic proteins and RNAs into intraluminal vesicles which are then secreted as exosomes from cells.

cell biology↗

bioRxiv2021

OsciDrop: A versatile on-demand droplet generator

Droplet microfluidics is a powerful tool in many biological and clinical applications. Microfluidic chips, such as flow-focusing droplet generators, have been extensively used to high-throughput encapsulate reactions with single-cell and single-molecular resolutions. However, microfabrication is expensive and precision-demanding, preventing it from widespread use in biomedical laboratories and clinical facilities. Herein, we present a versatile chip-free droplet generator, OsciDrop, for generating size-tunable droplets on demand, with high uniformity. OsciDrop segments the fluid flowing out of the orifice of a micropipette tip into droplets by oscillating the tip under the surface of a continuous oil phase. We investigated the factors influencing droplet generation by examining several control parameters. Results show that flow rate, oscillating amplitude, and frequency are key parameters to generate monodisperse droplets on demand. And OsciDrop is able to generate droplets in a flexible and repeatable manner. Importantly, using an optimal asymmetrical oscillation waveform, OsciDrop can controllably generate monodisperse droplets spanning a wide volume range (200 pL - 2 L). To demonstrate the ability of OsciDrop for chip-free droplet assays, a digital loop-mediated isothermal amplification (dLAMP) was performed to absolutely quantify African swine fever virus (ASFV). The OsciDrop method opens up a feasible and versatile avenue to perform droplet-based assays, exhibiting full accessibility for chip-free droplet microfluidics.

bioengineering↗

bioRxiv2021

The TR locus annotation and characteristics of Rhinolophus ferrumequinum

T cell antigen receptors (TCRs) in vertebrate could be divided into {beta} or {gamma}{delta}, which are encoded by TRA/D, TRG and TRB loci respectively. TCRs play a central role in mammal cellular immunity, which are functionally produced by rearrangement of V gene, D gene, J gene and C gene in the loci. Bat is the only mammal with flying ability, and is considered as the main host of zoonotic virus, which occupies an important position in the field of public health. At present, little is known about the composition of bat TRs gene. According to the whole genome sequencing results of the Rhinolophus ferrumequinum, and referring to the TR/IG annotation rules formulated by IMGT. We make a complete annotation on the TRA/D, TRG and TRB loci of the Rhinolophus ferrumequinum. A total of 128 V segments, 3 D segments, 85 J segments and 6 C segments were annotated, in addition to compared with the known mammalian, the characteristics of the TRs locus and germline genes of the Rhinolophus ferrumequinum were analyzed.

molecular biology↗

bioRxiv2021

Integrative Epigenomic and High-Throughput Functional Enhancer Profiling Reveals Determinants of Enhancer Heterogeneity in Gastric Cancer

BackgroundEnhancers are distal cis-regulatory elements required for cell-specific gene expression and cell fate determination. In cancer, enhancer variation has been proposed as a major cause of inter-patient heterogeneity - however, most predicted enhancer regions remain to be functionally tested. ResultsAnalyzing 128 epigenomic histone modification profiles of primary GC samples, normal gastric tissues, and GC cell lines, we report a comprehensive catalog of 75,730 recurrent predicted enhancers, the majority of which are tumor-associated in vivo (>50,000) and associated with lower somatic mutation rates inferred by whole-genome sequencing. Applying Capture-based Self-Transcribing Active Regulatory Region sequencing (CapSTARR-seq) to the enhancer catalog, we observed significant correlations between CapSTARR-seq functional activity and H3K27ac/H3K4me1 levels. Super-enhancer regions exhibited increased CapSTARR-seq signals compared to regular enhancers even when decoupled from native chromatin contexture. We show that combining histone modification and CapSTARR-seq functional enhancer data improves the prediction of enhancer-promoter interactions and pinpointing of germline single nucleotide polymorphisms (SNPs), somatic copy number alterations (SCNAs), and trans-acting TFs involved in GC expression. Specifically, we identified cancer-relevant genes (e.g. ING1, ARL4C) whose expression between patients is influenced by enhancer differences in genomic copy number and germline SNPs, and HNF4 as a master trans-acting factor associated with GC enhancer heterogeneity. ConclusionsOur study indicates that combining histone modification and functional assay data may provide a more accurate metric to assess enhancer activity than either platform individually, and provides insights into the relative contribution of genetic (cis) and regulatory (trans) mechanisms to GC enhancer functional heterogeneity.

cancer biology↗

bioRxiv2021

Complexin-1 regulated transition in the assembly of single neuronal SNARE complex

Neurotransmitter release is mediated by the synaptic vesicle exocytosis. Important proteins in this process have been identified including the molecular machine Synaptic-soluble N-ethylmaleimide-sensitive factor attachment receptor (SNARE) proteins, and other regulators. Complexin (Cpx) is one of the vital regulators in this process. The functions of Cpx are proposed to maintain a proper primed vesicle pool by preventing its premature depletion, which facilitates the vesicle fusion in the presence of Ca2+. However, the molecular mechanism remains unclear. Using dual-trap optical tweezers, we detected the interaction of complexin-1 (CpxI) with SNARE. We found that the CpxI stabilizes partially folded SNARE complexes by competing with C-terminal of Vamp protein and interacting with the C-terminal of t-SNARE complex.

biophysics↗

bioRxiv2021

Cell-specific chromatin landscape of human coronary artery resolves regulatory mechanisms of disease risk

Coronary artery disease (CAD) is a complex inflammatory disease involving genetic influences across several cell types. Genome-wide association studies (GWAS) have identified over 170 loci associated with CAD, where the majority of risk variants reside in noncoding DNA sequences impacting cis-regulatory elements (CREs). Here, we applied single-cell ATAC-seq to profile 28,316 cells across coronary artery segments from 41 patients with varying stages of CAD, which revealed 14 distinct cellular clusters. We mapped ~320,000 accessible sites across all cells, identified cell type-specific elements, transcription factors, and prioritized functional CAD risk variants via quantitative trait locus and sequence-based predictive modeling. We identified a number of candidate mechanisms for smooth muscle cell transition states and identified putative binding sites for risk variants. We further employed CRE to gene linkage to nominate disease-associated key driver transcription factors such as PRDM16 and TBX2. This single cell atlas provides a critical step towards interpreting cis-regulatory mechanisms in the vessel wall across the continuum of CAD risk.

genomics↗

bioRxiv2021

U-RISC: An Ultra-high Resolution EM Dataset Challenging Existing Deep Learning Algorithms

Connectomics is a developing field aiming at reconstructing the connection of the neural system at nanometer scale. Computer vision technology, especially deep learning methods used in image processing, has promoted connectomic data analysis to a new era. However, the performance of the state-of-the-art methods still falls behind the demand of scientific research. Inspired by the success of ImageNet, we present the U-RISC, an annotated Ultra-high Resolution Image Segmentation dataset for Cell membrane, which is the largest cell membrane annotated Electron Microscopy (EM) dataset with a resolution of 2.18nm/pixel. Multiple iterative annotations ensured the quality of the dataset. Through an open competition, we reveal that the performance of current deep learning methods still has a considerable gap with human-level, different from ISBI 2012, on which the performance of deep learning is close to human. To explore the causes of this discrepancy, we analyze the neural networks with a visualization method, attribution analysis. We find that in U-RISC, it requires a larger area around a pixel to predict whether the pixel belongs to the cell membrane or not. Finally, we integrate currently available methods to provide a new benchmark (0.67, 10% higher than the leader of competition, 0.61) for cell membrane segmentation on U-RISC and propose some suggestions in developing deep learning algorithms. The U-RISC dataset and the deep learning codes used in this paper will be publicly available.

neuroscience↗

bioRxiv2021

Correction of a pathogenic mutation in iPSCs derived from a patient with Christianson syndrome using CRISPR/Cas9 genome editing

SLC9A6 (also termed NHE6) encodes the endosomal Na+/H+ exchanger 6 (NHE6). Pathogenic, loss-of-function mutations in NHE6 cause the X-linked neurogenetic disorder Christianson syndrome (CS). We developed induced pluripotent stem cell (iPSC) lines derived from a patient with CS and from a biologically related control. The patient with CS contained the nonsense mutation c.1569G>A (p.(W523X)), which caused a significant reduction in NHE6 mRNA and a lack of detectable NHE6 protein in CS iPSCs in comparison to control iPSCs. To establish a cell model for study of CS with an isogenic control, we corrected the c.1569G>A mutation to the NHE6 reference genome sequence using CRISPR/Cas9-mediated homology directed repair knock-in methodology. Multiple subclonal lines were generated, and notably, NHE6 protein was expressed in all analyzed c.1569G>A (p.(W523X)) genome-corrected iPSC lines. This CS iPSC model together with the associated biologically related and isogenic control cell lines will serve as a valuable resource for both basic and translational studies in CS.

genetics↗

bioRxiv2021

Microfluidic Streptomyces Cultivation for Whole Lifecycle Characterization and Phenotypic Assays Enabled by Nanogap-stabilized Air-Water Interface

Streptomyces is a model filamentous prokaryote to study multicellular differentiation and a rich reservoir for antibiotics discovery. In their natural conditions, Streptomyces grows at the interface of porous soil, air, and water. The morphological development of Streptomyces is traditionally performed on agar plates and mostly studied at the population levels. However, the detailed lifecycle of Streptomyces has not been well studied due to its complexity and lack of research tools which can mimic their natural conditions in the soil. Here, we developed a simple assembled microfluidic device for cultivation and the entire lifecycle observation of Streptomyces development from single-cell level. The microfluidic device composed of a microchannel for loading samples and supplying nutrients, microwell arrays for seeding and growth of single spores, and air-filled chambers aside of the microwells that facilitate growth of aerial hyphae and spores. A unique feature of this device is that each microwell is surrounded by a 1.5 {micro}m gap connected to an air-filled chamber which provide stabilized water-air interface. We used this device to observe the development of single Streptomyces spores and found that unlike those in bulk liquid culture, Streptomyces can differentiate at water-air interfaces in microscale liquid culture. Finally, we demonstrated that phenotypic A-Factor assay can be performed at defined time point of its lifecycle. This microfluidic device could become a robust tool for studying Streptomyces multi-cellular differentiation and interaction at single cell level. IMPORTANCEWe describe a microfluidic device that mimics the natural porous environment for the growth and development of Streptomyces, the model system for bacterial multicellularity. The microfluidic device is used for cultivation and the entire lifecycle observation of Streptomyces development from single-cell level, including growth of aerial filaments. The aerial hyphae development of Streptomyces at the water-air interface was observed at real time in the microfluidic device. The early growth, opportunistic transformation (in the gap), and merging of aerial hyphae of Streptomyces in the microfluidic device were observed for the first time. It will play an important role in finding single-cell heterogeneity to study secondary metabolites related to the complex lifecycle of Streptomyces.

developmental biology↗

bioRxiv2021

RegVar: Tissue-specific Prioritization of Noncoding Regulatory Variants

Noncoding genomic variants constitute the majority of trait-associated genome variations; however, identification of functional noncoding variants is still a challenge in human genetics, and a method systematically assessing the impact of regulatory variants on gene expression and linking them to potential target genes is still lacking. Here we introduce a deep neural network (DNN)-based computational framework, RegVar, that can accurately predict the tissue-specific impact of noncoding regulatory variants on target genes. We show that, by robustly learning the genomic characteristics of massive variant-gene expression associations in a variety of human tissues, RegVar vastly surpasses all current noncoding variants prioritization methods in predicting regulatory variants under different circumstances. The unique features of RegVar make it an excellent framework for assessing the regulatory impact of any variant on its putative target genes in a variety of tissues. RegVar is available as a webserver at http://regvar.cbportal.org/.

bioinformatics↗

bioRxiv2021

MicroRNA-202 safeguards meiotic progression by preventing premature degradation of REC8 mediated by separase

MicroRNAs (miRNAs) are believed to play important roles in mammalian spermatogenesis but the in vivo functions of single miRNAs in this highly complex developmental process remain unclear. Here, we reported that miR-202, a member of the let-7 family, played an important role in mouse spermatogenesis by phenotypic evaluation of miR-202 knockout (KO) mice. In miR-202 KO mice, germ cells underwent apoptosis. Multiple processes in meiosis I including synapsis and crossover formation were disrupted, and inter-sister chromatid synapses were detected. More importantly, we found that upon miR-202 KO, meiotic-specific cohesin protein REC8 was prematurely cleaved by precociously activated separase, whose mRNA was a direct target of miR-202-3p. Our findings identify miR-202 as a novel regulator of meiosis and contribute to the list of miRNAs that play specific and important roles in developmental processes.

developmental biology↗

bioRxiv2021

Variant SARS-CoV-2 mRNA vaccines confer broad neutralization as primary or booster series in mice

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of a global pandemic. Safe and effective COVID-19 vaccines are now available, including mRNA-1273, which has shown 94% efficacy in prevention of symptomatic COVID-19 disease. However, the emergence of SARS-CoV-2 variants has led to concerns of viral escape from vaccine-induced immunity. Several variants have shown decreased susceptibility to neutralization by vaccine-induced immunity, most notably B.1.351 (Beta), although the overall impact on vaccine efficacy remains to be determined. Here, we present the initial evaluation in mice of 2 updated mRNA vaccines designed to target SARS-CoV-2 variants: (1) monovalent mRNA-1273.351 encodes for the spike protein found in B.1.351 and (2) mRNA-1273.211 comprising a 1:1 mix of mRNA-1273 and mRNA-1273.351. Both vaccines were evaluated as a 2-dose primary series in mice; mRNA-1273.351 was also evaluated as a booster dose in animals previously vaccinated with mRNA-1273. The results demonstrated that a primary vaccination series of mRNA-1273.351 was effective at increasing neutralizing antibody titers against B.1.351, while mRNA-1273.211 was effective at providing broad cross-variant neutralization. A third (booster) dose of mRNA-1273.351 significantly increased both wild-type and B.1.351-specific neutralization titers. Both mRNA-1273.351 and mRNA-1273.211 are being evaluated in pre-clinical challenge and clinical studies.

microbiology↗

bioRxiv2021

Sustained Oxygenation Accelerates Diabetic Wound Healing by Simultaneously Promoting Epithelialization and Angiogenesis, and Decreasing Tissue Inflammation

Non-healing diabetic wound is one of the most common complications for diabetic patients. Chronic hypoxia is among the prominent factors that delay the wound healing process. Therefore, sustained oxygenation to alleviate hypoxia is hypothesized to promote diabetic wound healing. Yet it cannot be achieved by current clinical approaches including hyperbaric oxygen therapy. Herein, we developed a sustained oxygenation system consisting of oxygen-release microspheres and a reactive oxygen species (ROS)-scavenging hydrogel. The hydrogel was used to capture the ROS that is elevated in the diabetic wounds, and that may be generated due to oxygen release. The sustainedly released oxygen augmented survival and migration of keratinocytes and dermal fibroblasts; promoted angiogenic growth factor expression, and angiogenesis in the diabetic wounds; and decreased M1 macrophage density. These effects led to a significant increase of wound closure rate. These findings reveal that sustained oxygenation alone without using drugs is capable of healing diabetic wounds.

bioengineering↗

bioRxiv2021

Genome assembly of the maize inbred line A188 provides a new reference genome for functional genomics

Heretofore, little is known about the mechanism underlying the genotype-dependence of embryonic callus (EC) induction, which has severely inhibited the development of maize genetic engineering. Here, we report the genome sequence and annotation of a maize inbred line with high EC induction ratio, A188, which is assembled from single-molecule sequencing and optical genome mapping. We assembled a 2,210 Mb genome with a scaffold N50 size of 11.61 million bases (Mb), compared to those of 9.73 Mb for B73 and 10.2 Mb for Mo17. Comparative analysis revealed that [~]30% of the predicted A188 genes had large structural variations to B73, Mo17 and W22 genomes, which caused considerable protein divergence and might lead to phenotypic variations between the four inbred lines. Combining our new A188 genome, previously reported QTLs and RNA sequencing data, we reveal 8 large structural variation genes and 4 differentially expressed genes playing potential roles in EC induction. HighlightOur manuscript presents a high-quality reference genome of the inbred line A188, and provides new insights into candidate genes underlying maize embryonic callus induction and other maize agronomic traits.

genetics↗

bioRxiv2021

A General LSTM-based Deep Learning Method for Estimating Neuronal Models and Inferring Neural Circuitry

Computational neural models are essential tools for neuroscientists to study the functional roles of single neurons or neural circuits. With the recent advances in experimental techniques, there is a growing demand to build up neural models at single neuron or large-scale circuit levels. A long-standing challenge to build up such models lies in tuning the free parameters of the models to closely reproduce experimental recordings. There are many advanced machine-learning-based methods developed recently for parameter tuning, but many of them are task-specific or requires onerous manual interference. There lacks a general and fully-automated method since now. Here, we present a Long Short-Term Memory (LSTM)-based deep learning method, General Neural Estimator (GNE), to fully automate the parameter tuning procedure, which can be directly applied to both single neuronal models and large-scale neural circuits. We made comprehensive comparisons with many advanced methods, and GNE showed outstanding performance on both synthesized data and experimental data. Finally, we proposed a roadmap centered on GNE to help guide neuroscientists to computationally reconstruct single neurons and neural circuits, which might inspire future brain reconstruction techniques and corresponding experimental design. The code of our work will be publicly available upon acceptance of this paper.

neuroscience↗