Biology subjects

Ren, J.

Publications and source records attributed to Ren, J..

At least 145 records · Page 8Linked to original sources

bioRxiv2020

lra: the Long Read Aligner for Sequences and Contigs

MotivationIt is computationally challenging to detect variation by aligning long reads from single-molecule sequencing (SMS) instruments, or megabase-scale contigs from SMS assemblies. One approach to efficiently align long sequences is sparse dynamic programming (SDP), where exact matches are found between the sequence and the genome, and optimal chains of matches are found representing a rough alignment. Sequence variation is more accurately modeled when alignments are scored with a gap penalty that is a convex function of the gap length. Because previous implementations of SDP used a linear-cost gap function that does not accurately model variation, and implementations of alignment that have a convex gap penalty are either inefficient or use heuristics, we developed a method, lra, that uses SDP with a convex-cost gap penalty. We use lra to align long-read sequences from PacBio and Oxford Nanopore (ONT) instruments as well as de novo assembly contigs. ResultsAcross all data types, the runtime of lra is between 52-168% of the state of the art aligner minimap2 when generating SAM alignment, and 9-15% of an alternative method, ngmlr. This alignment approach may be used to provide additional evidence of SV calls in PacBio datasets, and an increase in sensitivity and specificity on ONT data with current SV detection algorithms. The number of calls discovered using pbsv with lra alignments are within 98.3-98.6% of calls made from minimap2 alignments on the same data, and give a nominal 0.2-0.4% increase in F1 score by Truvari analysis. On ONT data with SV called using Sniffles, the number of calls made from lra alignments is 3% greater than minimap2-based calls, and 30% greater than ngmlr based calls, with a 4.6-5.5% increase in Truvari F1 score. When applied to calling variation from de novo assembly contigs, there is a 5.8% increase in SV calls compared to minimap2+paftools, with a 4.3% increase in Truvari F1 score. Availability and implementationAvailable in bioconda: https://anaconda.org/bioconda/lra and github: https://github.com/ChaissonLab/LRA Contactmchaisso@usc.edu, jingwenr@usc.edu

bioinformatics↗

bioRxiv2020

Impulsivity and Thought Suppression in Behavioral Addiction: Associated Neural Connectivity and Neural Networks

Impulsivity and thought suppression are two psychological traits that have great variation in healthy population. In extreme cases, both are closely related to mental illness and play an important role in behavioral addiction. We have known the role of the top-down mechanism in impulsivity and thought suppression, but we do not know how the related neural nuclei are functionally connected and interact with each other. In the study, we selected excessive internet users (EIU) as our target population and investigated the relationship between thought suppression and impulsivity in the following aspects: their correlations to psychological symptoms; the associated neural networks; and the associated brain morphometric changes. We acquired data from 131 excessive internet users, with their psychological, resting-state fMRI and T1-MRI data collected. With the whole brain analysis, graph theory analysis, replication with additional brain atlas, replication with additional MRI data, and analysis of brain structure, we found that: (i) implusivity and thought suppression shared common neural connections in the top-down mechanism; (ii) thought suppression was associated with the neural network that connected to the occipital lobe in the resting-state brain but not the morphometric change of the occipital lobe. The study confirmed the overlap between impulsivity and thought suppression in terms of neural connectivity and suggested the role of thought suppression and the occipital network in behavioral addiction. Studying thought suppression provided a new insight into behavioral addiction research. The neural network study helped further understanding of behavioral addiction in terms of information interaction in the brain.

neuroscience↗

bioRxiv2020

RBM20 phosphorylation on serine/arginine domain is crucial to regulate pre-mRNA splicing and protein shuttling in the heart

Molecular and cellular mechanisms of mutations of splicing factors in heart function are not well understood. The splicing of precursor mRNA is dependent on an essential group of splicing factors containing serine-arginine (SR) domain(s) that are critical for protein-RNA and protein-protein interaction in the spliceosome assembly. Phosphorylation of SR domains plays a key role in splicing control and the distribution of splicing factors in the cell. RNA binding motif 20 (RBM20) is a splicing factor predominantly expressed in muscle tissues with the highest expression level in the heart. However, its phosphorylation status is completely unknown up-to-date. In this study, we identified sixteen amino acid residues that are phosphorylated by middle-down mass spectrometry. Four of them are located in the SR domain, and two out of the four residues, S638 and S640, play an essential role in splicing control and facilitate RBM20 shuttling from the nucleus to the cytoplasm. Re-localization of RBM20 promotes protein aggregation in the cytoplasm. We have also verified that SR-protein kinases (SRPKs), cdc2-like kinases (CLKs) and protein kinase B (PKB or AKT) phosphorylate S638 and S640. Mutations of S638A and S640G reduce RBM20 phosphorylation and disrupt the splicing. Taken together, we determine the phosphorylation status of RBM20 and provide the first evidence that phosphorylation on SR domain is crucial for pre-mRNA splicing and protein trafficking. Our findings reveal a new role of RBM20 via protein shuttling in cardiac function.

cell biology↗

bioRxiv2020

Qualitative and quantitative bioanalytical methods validation of aristolochic acid DNA adducts and application in human formalin-fixed paraffin-embedded hepatocellular carcinoma tissues

Mutation signature of aristolochic acid (AA) found in urothelial or hepatocellular carcinoma causes public concern about the cancer risk of AA. In contrast, direct evidence based on the reliable bioanalytical method for the exposure of AA is still lacking and not universal. Here, we strictly complied with the qualitative and quantitative guidance for forensic toxicological analysis: In the sample preprocessing, DNA from formalin-fixed and paraffin-embedded (FFPE) tissues was digested to single nucleotide by a series of enzymes with 70% enzymatic digestion efficiency. After protein precipitation, the samples were submitted to an ABI6500+ mass spectrometer for LC-MS/MS analysis. Ion pairs 543.2/427.2 and 543.2/395.2 of dA-AAI were selected from 5 ion pairs due to their higher LC-MS/MS response. Both these ion pairs have excellent selectivity and specificity in rat liver DNA matrix, and a linear regression range from 5 pg/mL to 200 pg/mL with the best fit and determination coefficient (r) greater than 0.99. The intra and inter batch accuracy and precision of these two ion pairs are also acceptable with less than 15% variation. The total recovery for ion pair 543.2/427.2 and 543.2/395.2 of dA-AAI was 90.06% and 90.76%, respectively. Our method has a minor matrix effect and good stability under different temperature and time conditions. With signal to noise ratio [≥] 3, 2 ion pairs (< 50 % relative abundance variation), the lower limit of quantification (LLOQ) of our method is set to 5 pg/mL([~]3.6 AAI-DNA adducts per 108 DNA bases). By using this validated bioanalytical method of dA-AAI, 165 human HCC FFPE tissues were analyzed, the total ratio of samples with peak543.2/427.2 is 17.0% (28/165), with peak543.2/395.2 is 9.09% (15/165) which yields the total ratio of samples combined peak543.2/427.2 and peak543.2/395.2 is 7.27% (12/165). Two samples are higher than 5 pg/mL under the qualitative requirements. In conclusion, we first reported a fully validated methods to analyze the DNA adducts level of aristolochic acid, which could be qualitatively and quantitatively applied to the investigation of AA exposure in the human and other species.

pharmacology and toxicology↗

bioRxiv2020

SARS-Cov-2-, HIV-1-, Ebola-neutralizing and anti-PD1 clones are predisposed

Antibody repertoire refers to the totality of the superbly diversified antibodies within an individual to cope with the vast array of possible pathogens. Despite this extreme diversity, antibodies of the same clonotype, namely public clones, have been discovered among individuals. Although some public clones could be explained by antibody convergence, public clones in naive repertoire or virus-neutralizing clones from not infected people were also discovered. All these findings indicated that public clones might not occur by random and they might exert essential functions. However, the frequencies and functions of public clones in a population have never been studied. Here, we integrated 2,449 Rep-seq datasets from 767 donors and discovered 5.07 million public clones - ~10% of the repertoire are public in population. We found 38 therapeutic clones out of 3,390 annotated public clones including anti-PD1 clones in healthy people. Moreover, we also revealed clones neutralizing SARS-CoV-2, Ebola, and HIV-1 viruses in healthy individuals. Our result demonstrated that these clones are predisposed in the human antibody repertoire and may exert critical functions during particular immunological stimuli and consequently benefit the donors. We also implemented RAPID - a Rep-seq Analysis Platform with Integrated Databases, which may serve as a useful tool for others in the field.

immunology↗

bioRxiv2020

The SARS-CoV-2 Spike harbours a lipid binding pocket which modulates stability of the prefusion trimer

Large trimeric Spikes decorate SARS-CoV-2 and bind host cells via receptor binding domains (RBDs). We report a conformation in which the trimer is locked into a compact well-ordered form. This differs from previous structures where the RBD can flip up to recognise the receptor. In the locked form regions associated with fusion transitions are stabilised and the RBD harbours curved lipids. The acyl chains bind a hydrophobic pocket in one RBD whilst the polar headgroups attach to an adjacent RBD of the trimer. By functional analogy with enteroviral pocket factors loss of the lipid would destabilise the locked form facilitating receptor attachment, conversion to the postfusion state and virus infection. The nature of lipids available at the site of infection might affect the antigenicity/pathogenicity of released virus. These results reveal a potentially druggable pocket and suggest that the natural prefusion state occludes neutralising RBD epitopes, achieving conformational shielding from antibodies. HighlightsO_LISARS-CoV-2 Spike can adopt a locked conformation with all receptor binding domains (RBDs) down, likely to represent the prefusion resting state C_LIO_LIThis locked conformation is compact and stable, braced by lipid bound within a potentially druggable pocket C_LIO_LIKey neutralization epitopes are shielded in the locked form C_LIO_LILoss of lipid may trigger a cascade of events that lead to cell entry analogous to the role of lipids in enterovirus cell entry C_LI

microbiology↗

bioRxiv2020

Structural basis for the neutralization of SARS-CoV-2 by an antibody from a convalescent patient

The COVID-19 pandemic has had unprecedented health and economic impact, but currently there are no approved therapies. We have isolated an antibody, EY6A, from a late-stage COVID-19 patient and show it neutralises SARS-CoV-2 and cross-reacts with SARS-CoV-1. EY6A Fab binds tightly (KD of 2 nM) the receptor binding domain (RBD) of the viral Spike glycoprotein and a 2.6[A] crystal structure of an RBD/EY6A Fab complex identifies the highly conserved epitope, away from the ACE2 receptor binding site. Residues of this epitope are key to stabilising the pre-fusion Spike. Cryo-EM analyses of the pre-fusion Spike incubated with EY6A Fab reveal a complex of the intact trimer with three Fabs bound and two further multimeric forms comprising destabilized Spike attached to Fab. EY6A binds what is probably a major neutralising epitope, making it a candidate therapeutic for COVID-19.

microbiology↗

bioRxiv2020

Mitophagy protects beta cells from inflammatory damage in diabetes

Inflammatory damage contributes to {beta}-cell failure in type 1 and 2 diabetes (T1D and T2D). Mitochondria are damaged by inflammatory signaling in {beta}-cells, resulting in impaired bioenergetics and initiation of pro-apoptotic machinery. Hence, the identification of protective responses to inflammation could lead to new therapeutic targets. Here we report that mitophagy serves as a protective response to inflammatory stress in both human and rodent {beta}-cells. Utilizing in vivo mitophagy reporters, we observed that diabetogenic pro-inflammatory cytokines induced mitophagy in response to nitrosative/oxidative mitochondrial damage. Mitophagy-deficient {beta}-cells were sensitized to inflammatory stress, leading to the accumulation of fragmented dysfunctional mitochondria, increased {beta}-cell death, and hyperglycemia. Overexpression of CLEC16A, a T1D gene and mitophagy regulator whose expression in islets is protective against T1D, ameliorated cytokine-induced human {beta}-cell apoptosis. Thus, mitophagy promotes {beta}-cell survival and prevents diabetes by countering inflammatory injury. Targeting this pathway has the potential to prevent {beta}-cell failure in diabetes and may be beneficial in other inflammatory conditions.

cell biology↗

bioRxiv2020

Human Hair Graying is Naturally Reversible and Linked to Stress

Hair graying is a universal hallmark of aging believed to be linked to psychological stress. Here we develop a novel approach to quantitatively profile natural graying events along individual human hair shafts, resulting in a quantifiable physical timescale of hair pigmentation patterns (HPPs). Using this approach, we quantify rare events of white/gray hairs that naturally regain pigmentation within days to weeks, thereby quantitatively defining the reversibility of graying in healthy, unmedicated individuals. Proteomic analysis shows that graying is marked by the upregulation of proteins related to energy metabolism, mitochondria, and antioxidant defenses. Combining hair pigmentation profiling and proteomics at the single hair level, we also report hair graying and its reversal occurring in parallel with behavioral and psychological stressors. A computational simulation suggests a threshold-based mechanism for the temporary reversibility of graying. Quantitatively mapping HPPs in humans provides an opportunity to longitudinally examine the influence of life exposures on biological aging.

cell biology↗

bioRxiv2020

Neutralization of SARS-CoV-2 by destruction of the prefusion Spike

There are as yet no licenced therapeutics for the COVID-19 pandemic. The causal coronavirus (SARS-CoV-2) binds host cells via a trimeric Spike whose receptor binding domain (RBD) recognizes angiotensin-converting enzyme 2 (ACE2), initiating conformational changes that drive membrane fusion. We find that monoclonal antibody CR3022 binds the RBD tightly, neutralising SARS-CoV-2 and report the crystal structure at 2.4 [A] of the Fab/RBD complex. Some crystals are suitable for screening for entry-blocking inhibitors. The highly conserved, structure-stabilising, CR3022 epitope is inaccessible in the prefusion Spike, suggesting that CR3022 binding would facilitate conversion to the fusion-incompetent post-fusion state. Cryo-EM analysis confirms that incubation of Spike with CR3022 Fab leads to destruction of the prefusion trimer. Presentation of this cryptic epitope in an RBD-based vaccine might advantageously focus immune responses. Binders at this epitope may be useful therapeutically, possibly in synergy with an antibody blocking receptor attachment. HighlightsO_LICR3022 neutralises SARS-CoV-2 C_LIO_LINeutralisation is by destroying the prefusion SPIKE conformation C_LIO_LIThis antibody may have therapeutic potential alone or with one blocking receptor attachment C_LI

microbiology↗

bioRxiv2020

Differential encoding in prefrontal cortex projection neuron classes across cognitive tasks

Single-cell transcriptomics has been widely applied to classify neurons in the mammalian brain, while systems neuroscience has historically analyzed the encoding properties of cortical neurons without considering cell types. Here we examine how specific transcriptomic types of mouse prefrontal cortex (PFC) projection neurons relate to axonal projections and encoding properties across multiple cognitive tasks. We found that most types projected to multiple targets, and most targets received projections from multiple types, except PFC[->]PAG (periaqueductal gray). By comparing Ca2+-activity of the molecularly homogeneous PFC[->]PAG type against two heterogeneous classes in several two-alternative choice tasks in freely-moving mice, we found that all task-related signals assayed were qualitatively present in all examined classes. However, PAG-projecting neurons most potently encoded choice in cued tasks, whereas contralateral PFC-projecting neurons most potently encoded reward context in an uncued task. Thus, task signals are organized redundantly, but with clear quantitative biases across cells of specific molecular-anatomical characteristics.

neuroscience↗

bioRxiv2020

Tandem tension sensor reveals substrate rigidity-dependence of integrin molecular tensions in live cells

Response of integrin tensions to substrate rigidity is important in cell rigidity sensing but has not been confirmed. Current fluorescent tension sensors produce cellular force signals collectively resulted from integrin tension magnitude, tension dwell time, integrin density and activity, ligand density and accessibility, etc., making it challenging to monitor the absolute molecular force level of integrin tensions in live cells. Here we developed a tandem tension sensor (TTS) consisting of two coupled tension sensing units which are subject to the same tension and respond with different activation probabilities to the tension. Reported by fluorescence, the activation probability ratio of these two units solely responds to the force level of local integrin tensions, excluding the bias from other non-force factors. We verified the feasibility of TTS in detecting integrin tensions and applied it to study cells on elastic substrates. TTS unambiguously reported that integrin tensions in platelets decrease monotonically with the substrate rigidity, verifying the rigidity-dependence of integrin tensions in live cells.

biophysics↗

bioRxiv2020

Individual variability in functional organization of the human and monkey auditory cortex

Accumulating evidence shows that auditory cortex (AC) of humans, and other primates, is involved in more complex cognitive processes than feature segregation only, which are shaped by experience-dependent plasticity and thus likely show substantial individual variability. However, thus far, individual variability of ACs has been considered a methodological impediment rather than a phenomenon of theoretical importance. Here, we examined the variability of ACs using intrinsic functional connectivity patterns in humans and macaques. Our results demonstrate that in humans, functional variability is 1) greater near the non-primary than primary ACs, 2) greater in ACs than comparable visual areas, and 3) greater in the left than right ACs. Remarkably similar modality differences and lateralization of variability were observed in macaques. These connectivity-based findings are consistent with a confirmatory task-based fMRI analysis. The quantitative proof of the exceptional variability of ACs has implications for understanding the evolution of advanced auditory functions in humans.

neuroscience↗

bioRxiv2019

Millet-based supplement restored microbiota diversity of acute undernourished pigs

The strong connection between undernutrition and gut microbiota (GM) has enabled microbiota-targeting to become an evolving strategy, which witnessed urgent need for fortified formula of supplementary food in undernutrition therapy. Using undernourished pigs as models, we investigated how corn- and millet-based nutritional supplement acted differently in modulating microbiota. Undernourished pigs at age of 9 weeks were fed with pure maize diet (Maize), corn-based (CSB+) and millet-based (MSB+) supplementary food for 3 weeks. Compared with Maize group, both CSB+ and MSB+ improved serum total protein and globulin level, but no physiological improvement was observed by short-term food intervention. MSB+ shown superior influence on GM immaturity which were more normally-grown like at both structural and functional level. Higher level of Bacteriodetes, Firmicutes and lower level of Preteobacteria were detected in MSB+ fed piglets in contrast with CSB+. Lachnospira.spp was significantly raised after nutritional intervention, indicating high correlation with the undernutrition-associated phenotype. Thus, especially from the GM aspect, millet could be one promising source to help undernourished children reconstruct balanced microbiota in short therapeutic term.

microbiology↗

bioRxiv2019

Reconstructing lost BOLD signal in individual participants using deep machine learning

The blood oxygen level-dependent (BOLD) signal in functional neuroimaging suffers from magnetic susceptibility artifacts and interference from metal implants. The resulting signal loss hampers functional neuroimaging studies and can lead to misinterpretation of findings. Here, we reconstructed compromised BOLD signal using deep machine learning. We trained a deep learning model to learn principles governing BOLD activity in one dataset and reconstructed artificially-compromised regions in another dataset, frame by frame. Strikingly, BOLD time series extracted from reconstructed frames were correlated with the original time series, even though the frames did not independently carry information about BOLD fluctuations through time. Moreover, reconstructed functional connectivity (FC) maps exhibited good correspondence with the original FC maps, indicating that the deep learning model recovered functional relationships among brain regions. We replicated this result in patients whose scans suffered signal loss due to intracortical electrodes. Critically, the reconstructions captured individual-specific information rather than group information learned during training. Deep machine learning thus presents a unique opportunity to reconstruct compromised BOLD signal while capturing features of an individuals own functional brain organization.

neuroscience↗

bioRxiv2019

The chromosomal-level genome assembly and comprehensive transcriptomes of Chinese razor clam (Sinonovacula constricta) with deep-burrowing life style and broad-range salinity adaptation

BackgroundThe Chinese razor clam, Sinonovacula constricta, is one of the commercially important marine bivalves with deep-burrowing lifestyle and remarkable adaptability of broad-range salinity. Despite its economic impact and representative of the less-understood deep-burrowing bivalve lifestyle, there are few genomic resources for exploring its unique biology and adaptive evolution. Herein, we reported a high-quality chromosomal-level reference genome of S. constricta, the first genome of the family Solenidae, along with a large amount of short-read/full-length transcriptomic data of whole-ontogeny developmental stages, all major adult tissues, and gill tissues under salinity challenge.\n\nFindingsA total of 101.79 Gb and 129.73 Gb sequencing data were obtained with the PacBio and Illumina platforms, which represented approximately 186.63X genome coverage. In addition, a total of 160.90 Gb and 24.55 Gb clean data were also obtained with the Illumina and PacBio platforms for transcriptomic investigation. A de novo genome assembly of 1,340.13 Mb was generated, with a contig N50 of 689.18 kb. Hi-C scaffolding resulted in 19 chromosomes with a scaffold N50 of 57.99 Mb. The repeat sequences account for 50.71% of the assembled genome. A total of 26,273 protein-coding genes were predicted and 99.5% of them were annotated. Phylogenetic analysis revealed that S. constricta diverged from the lineage of Pteriomorphia at approximately 494 million years ago. Notably, cytoskeletal protein tubulin and motor protein dynein gene families are rapidly expanded in the S. constricta genome and are highly expressed in the mantle and gill, implicating potential genomic bases for the well-developed ciliary system in the S. constricta.\n\nConclusionsThe high-quality genome assembly and comprehensive transcriptomes generated in this work not only provides highly valuable genomic resources for future studies of S. constricta, but also lays a solid foundation for further investigation into the adaptive mechanisms of benthic burrowing mollusks.

genomics↗

bioRxiv2019

Connectivity analysis of GEF/GTPase networks in living cells

The cytoskeleton is regulated by dynamic, multi-layered signaling networks that interconnect Rho family small GTPases with exquisite spatiotemporal precision1. Understanding the organization of these networks is challenging, as protein activation and interaction occur transiently and with precise subcellular localization. We and others have used fluorescent biosensors in living cells to map the activation patterns of the Rho family small GTPases relative to the changes in cell edge dynamics that they produce2-4. These GTPases are controlled by the localized activity of numerous Rho guanine nucleotide exchange factors (RhoGEFs) with overlapping GTPase specificity5,6. Here we extend this analysis to determine functional relationships between GEFs and GTPases in controlling cell edge movements. First, biosensors for GEF activation are produced, and their activity correlated with edge dynamics. We then shift the wavelengths of GTPase biosensors to image and correlate the activation of GEFs and GTPases in the same cell. Using partial correlation analysis, we can parse out from such multiplexed data the contribution of each GEF - GTPase interaction to edge dynamics, i.e. we identify when and where specific GEF activation events regulate specific downstream GTPases to affect motility. We describe biosensors for eight Dbl family RhoGEFs based on a broadly applicable new design strategy (Asef, Tiam1, Vav isoforms, Tim, LARG, and {beta}-Pix), and red shifted biosensors for RhoA, Rac1 and Cdc42. In the context of motility, functional interactions were identified for Asef regulation of Cdc42 and Rac1. This approach exemplifies a powerful means to elucidate the real-time connectivity of signal transduction networks.

cell biology↗

bioRxiv2019

Novel immune and stromal subtype classification system of lung adenocarcinoma based on tumor microenvironment

BackgroundTumor microenvironment has complex effects on tumorigenesis and metastasis in lung adenocarcinoma (LUAD). However, there is still a lack of comprehensive understanding of the relationship between immune and non-immune stromal characteristics in tumor microenvironment.\n\nPatients and methodsEight cohort of 1681 lung caner patients were included in this study. The immune and non-immune stromal signatures of tumor microenvironment were identified by eigendecomposition and extraction algorithms. We developed a novel immune and stromal scoring system to quantify anti-tumor immune and promote-metastasis stromal activation, namely PMBT (prognostic model based on tumor microenvironment) as an R package. Tumors were classified into 4 subtypes according to PMBT system. Comprehensive analysis was performed in different subtypes.\n\nResultsThe 4 subgroups had different mutation landscape, molecular, cellular characteristics and prognosis, which validated by 7 data sets containing 1175 patients. 19% patients was characterized by highly active anti-tumor reaction with high production of immunoactive mediators, immunocyte, low fibroblasts infiltration, low TGF-{beta}, VEGFA, collagen and glucose catabolic, low immune checkpoint per T cell, tumor mutation burden, and favourable overall survival (all, P < 0.05) named high-immune and low-stromal activation subgroup (HL). Cellular paracrine network showed both high humoral and cellular immune interaction in HL group. The low-immune and high-stromal activation group (19%) had opposite characteristics with HL group. Moreover, the PMBT system showed the value to predict overall survival and immunotherapy responses (all, P < 0.05).\n\nConclusionsDifferent molecular, cellular characteristics, mutation landscape and prognosis were discovered in the 4 subgroups. Our classification, PMBT system provided novel insight for clinical monitoring and treatment in LUAD.

bioinformatics↗