Biology subjects

Ma, Y.

Publications and source records attributed to Ma, Y..

At least 397 records · Page 22Linked to original sources

bioRxiv2021

A Platform for Oncogenomic Reporting and Interpretation

Manual interpretation of variants remains rate limiting in precision oncology. The increasing scale and complexity of molecular data generated from comprehensive sequencing of cancer samples requires advanced interpretative platforms as precision oncology expands beyond individual patients to entire populations. To address this unmet need, we created the Platform for Oncogenomic Reporting and Interpretation (PORI), comprising an analytic framework created to facilitate the interpretation and reporting of somatic variants in cancer. PORI is unique in its integration of reporting and graph knowledge base tools combined with support for manual curation at the reporting stage. PORI represents one of the first open-source platform alternatives to commercial reporting solutions suitable for comprehensive genomic data sets in precision oncology. We demonstrate the utility of PORI by matching 9,961 TCGA tumours to the graph knowledge base, revealing that 88.2% have at least one potentially targetable alteration, and making available reports describing select individual samples.

bioinformatics↗

bioRxiv2021

AAV-mediated gene therapy produces fertile offspring in the Lhcgr-deficient mouse model of Leydig cell failure

Leydig cell failure (LCF) caused by gene mutation results in testosterone deficiency and infertility. Serum testosterone levels can be recovered via testosterone replacement; however, established therapies have shown limited success in restoring fertility. Here, we used a luteinizing hormone/choriogonadotrophin receptor (Lhcgr)-deficient mouse model of genetic LCF to investigate the feasibility of gene therapy for restoring testosterone production and fertility. We screened several adeno-associated virus (AAV) serotypes and identified AAV8 as an efficient vector to drive exogenous Lhcgr expression in progenitor Leydig cells through interstitial injection. We observed considerable testosterone recovery and Leydig cell maturation after AAV8-Lhcgr treatment in pubertal Lhcgr-/- mice. This gene therapy substantially recovered sexual development, partially restored spermatogenesis and effectively produced fertile offspring. Furthermore, these favorable effects could be reproduced in adult Lhcgr-/- mice. Our proof-of-concept experiments in this mouse model demonstrate that AAV-mediated gene therapy may represent a promising therapeutic approach for patients with genetic LCF.

developmental biology↗

bioRxiv2021

Function of AtPGAP1 in GPI anchor lipid remodeling and transport to the cell surface of GPI-anchored proteins

GPI-anchored proteins (GPI-APs) play an important role in a variety of plant biological processes including growth, stress response, morphogenesis, signalling and cell wall biosynthesis. The GPI-anchor contains a lipid-linked glycan backbone that is synthesized in the endoplasmic reticulum (ER) where it is subsequently transferred to the C-terminus of proteins containing a GPI signal peptide by a GPI transamidase. Once the GPI anchor is attached to the protein, the glycan and lipid moieties are remodelled. In mammals and yeast, this remodelling is required for GPI-APs to be included in Coat Protein II (COPII) coated vesicles for their ER export and subsequent transport to the cell surface. The first reaction of lipid remodelling is the removal of the acyl chain from the inositol group by Bst1p (yeast) and PGAP1 (mammals). In this work, we have used a loss-of-function approach to study the role of PGAP1/Bst1 like genes in plants. We have found that Arabidopsis PGAP1 localizes to the ER and probably functions as the GPI inositol-deacylase which cleaves the acyl chain from the inositol ring of the GPI anchor. In addition, we show that PGAP1 function is required for efficient ER export and transport to the cell surface of GPI-APs. One sentence summaryGPI anchor lipid remodeling in GPI-anchored proteins is required for their transport to the cell surface in Arabidopsis.

cell biology↗

bioRxiv2021

Atrx deletion impairs cGAS-STING signaling and increases response to radiation and oncolytic herpesvirus in sarcoma

ATRX is one of the most frequently altered genes in solid tumors, and mutation is especially frequent in soft tissue sarcomas. However, the role of ATRX in tumor development and response to cancer therapies remains poorly understood. Here, we developed a primary mouse model of soft tissue sarcoma and showed that Atrx deleted tumors are more sensitive to radiation therapy. In the absence of Atrx, irradiated sarcomas have increased persistent DNA damage, telomere dysfunction, and mitotic catastrophe. We find that Atrx deleted sarcomas have a reduced adaptive immune response, impaired cGAS-STING signaling, and increased sensitivity to an oncolytic herpesvirus therapy. Translation of these results to patients with ATRX mutant cancers could enable genomically-guided cancer therapeutic approaches that improve patient outcomes.

cancer biology↗

bioRxiv2021

Dysbiotic oral and gut viromes in untreated and treated rheumatoid arthritis patients

BackgroundRheumatoid arthritis (RA) has been considered to be influenced by bacteria from the oral cavity and gut for many years. Despite potential impact of viruses in RA was mentioned in some studies, specific roles of oral and gut viromes in RA is still unclear. ResultsIn this study, we observed the viral community variation in the oral and gut samples, performed a comparative analysis of oral and gut viromes in health controls, untreated and treated RA patients, and constructed interaction networks among viruses, bacteria, and RA-associated clinical indexes to address the potential associations between viral community and RA. The results showed that the viromes could be isolated from dental plaque, saliva, and feces samples, among which the saliva having the highest with in-sample diversity. Meanwhile, remarkable variations of viral diversity and composition in the oral (i.e., dental plaque and saliva) virome could be observed in RA patients and healthy controls yet in untreated and treated RA patients, with a relatively low variability in the gut virome. Distraction of viruses-bacteria interaction network was discovered in three sites of RA patients. In addition, some RA-associated oral taxa, including Lactococcus phage vOTU70, Bacteroides vulgatus, Lactococcus lactis, Escherichia coli, Neisseria elongate, were correlated to the RA-related clinical indexes. ConclusionWhole-virome analysis illustrated the potential role of oral and gut viral communities in the development of RA.

microbiology↗

bioRxiv2021

Geminiviral genomes encode additional proteins with specific subcellular localizations and virulence function

Geminiviruses are plant viruses with limited coding capacity. Geminivirus-encoded proteins were identified applying a 10-kDa arbitrary threshold; however, it is increasingly clear that small proteins play relevant roles in biological systems, which calls for the reconsideration of this criterion. Here, we show that geminiviral genomes contain additional ORFs. Using tomato yellow leaf curl virus, we demonstrate that some of these novel ORFs are expressed during the infection, and that the encoded proteins display specific subcellular localizations. We prove that the largest of these new ORFs, which we name V3, is required for full viral infection, and that the V3 protein localizes in the Golgi apparatus and functions as an RNA silencing suppressor. These results imply that the repertoire of geminiviral proteins can be expanded, and that getting a comprehensive overview of the molecular plant-geminivirus interactions will require the detailed study of small ORFs so far neglected.

plant biology↗

bioRxiv2021

Are adaptive chemotherapy schedules robust? A three-strategy stochastic evolutionary game theory model

We investigate the robustness of adaptive chemotherapy schedules over repeated cycles and a wide range of tumor sizes. We introduce a non-stationary stochastic three-component fitness-dependent Moran process to quantify the variance of the response to treatment associated with multidrug adaptive schedules that are designed to mitigate chemotherapeutic resistance in an idealized (well-mixed) setting. The finite cell (N tumor cells) stochastic process consists of populations of chemosensitive cells, chemoresistant cells to drug 1, and chemoresistant cells to drug 2, and the drug interactions can be synergistic, additive, or antagonistic. First, the adaptive chemoschedule is determined by using the N [->] {infty} limit of the finite-cell process (i.e. the adjusted replicator equations) which is constructed by finding closed treatment response loops (which we call evolutionary cycles) in the three component phase-space. The schedules that give rise to these cycles are designed to manage chemoresistance by avoiding competitive release of the resistant cell populations. To address the question of how these cycles are likely to perform in practice over large patient populations with tumors across a range of sizes, we then consider the statistical variances associated with the approximate stochastic cycles for finite N, repeating the idealized adaptive schedule over multiple periods. For finite cell populations, the error distributions remain approximately multi-Gaussian in the principal component coordinates through the first three cycles, with variances increasing exponentially with each cycle. As the number of cycles increases, the multi-Gaussian nature of the distribution breaks down due to the fact that one of the three subpopulations typically saturates the tumor (competitive release) resulting in treatment failure. This suggests that to design an effective and repeatable adaptive chemoschedule in practice will require a highly accurate tumor model and accurate measurements of the subpopulation frequencies or the errors will quickly (exponentially) degrade its effectiveness, particularly when the drug interactions are synergistic. Possible ways to extend the efficacy of the stochastic cycles in light of the computational simulations are discussed. Prepared for Special IssueUnderstanding the Evolutionary Dynamics and Ecology of Cancer Treatment Resistance, Ed. D. Basanta, Cancers (2021)

biophysics↗

bioRxiv2021

Familial prion disease-related mutation E196K displays a novel amyloid fibril structure revealed by cryo-EM

Prion diseases are caused by the conformational conversion of prion protein (PrP) from its cellular form (PrPC) into a protease-resistant, aggregated form (PrPSc). 42 different familial mutations were identified in human PrP, which lead to genetic prion diseases with distinct clinical syndromes. Here we report cryo-EM structure of an amyloid fibril formed by full-length human PrP with E196K mutation, a familial Creutzfeldt-Jakob disease-related mutation. This mutation disrupts key interactions in wild-type PrP fibril and results in a rearrangement of the overall structure, forming an amyloid fibril with a conformation distinct from wild-type PrP fibril. The E196K fibril consists of two protofibrils intertwined into a left-handed helix. Each subunit forms five {beta}-strands stabilized by a disulfide bond and an unusual hydrophilic cavity. Two pairs of amino acids (Lys194 and Glu207; Lys196 and Glu200) from opposing subunits form four salt bridges to stabilize the zigzag interface of the two protofibrils. Furthermore, the E196K fibril exhibits a significantly lower conformational stability and protease resistance activity than the wild-type fibril. Our results provide direct structural evidences of the diverse mammalian prion strains and fibril polymorphism of PrP, and highlight the importance of familial mutations in determining the different prion strains.

biochemistry↗

bioRxiv2021

Genome Warehouse: A Public Repository Housing Genome-scale Data

The Genome Warehouse (GWH) is a public repository housing genome assembly data for a wide range of species and delivering a series of web services for genome data submission, storage, release, and sharing. As one of the core resources in the National Genomics Data Center (NGDC), part of the China National Center for Bioinformation (CNCB, https://bigd.big.ac.cn/), GWH accepts both full genome and partial genome (chloroplast, mitochondrion, and plasmid) sequences with different assembly levels, as well as an update of existing genome assemblies. For each assembly, GWH collects detailed genome-related metadata including biological project and sample, and genome assembly information, in addition to genome sequence and annotation. To archive high-quality genome sequences and annotations, GWH is equipped with a uniform and standardized procedure for quality control. Besides basic browse and search functionalities, all released genome sequences and annotations can be visualized with JBrowse. By December 2020, GWH has received 17,264 direct submissions covering a diversity of 949 species, and has released 3370 of them. Collectively, GWH serves as an important resource for genome-scale data management and provides free and publicly accessible data to support research activities throughout the world. GWH is publicly accessible at https://bigd.big.ac.cn/gwh/.

bioinformatics↗

bioRxiv2021

Role of GM-CSF in regulating metabolism and mitochondrial functions critical to macrophage proliferation

Granulocyte-macrophage colony-stimulating factor (GM-CSF) exerts pleiotropic effects on macrophages and is required for self-renewal but the mechanisms responsible are unknown. Using GM-CSF receptor-{beta}-chain deficient (Csf2rb-/-) mice, we show GM-CSF is critical for mitochondrial turnover, functions, and integrity. GM-CSF signaling is essential for fatty acid {beta}-oxidation and markedly increased tricarboxylic acid cycle activity, oxidative phosphorylation, and ATP production. GM-CSF also regulated cytosolic pathways including glycolysis, pentose phosphate pathway, and amino acid synthesis. We conclude that GM-CSF regulates macrophages in part through a critical role in maintaining mitochondria, which are necessary for cellular metabolism as well as proliferation and self-renewal.

cell biology↗

bioRxiv2021

Evolution of ACE2 and SARS-CoV-2 Interplay Across 247 Vertebrates

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cause the most serious pandemics of Coronavirus Disease 2019 (COVID-19), which threatens human health and public safety. SARS-CoV-2 spike (S) protein uses angiotensin-converting enzyme 2 (ACE2) as recognized receptor for its entry into host cell that contributes to the infection of SARS-CoV-2 to hosts. Using computational modeling approach, this study resolved the evolutionary pattern of bonding affinity of ACE2 in 247 jawed vertebrates to the spike (S) protein of SARS-CoV-2. First, high-or-low binding affinity phenotype divergence of ACE2 to the S protein of SARS-CoV-2 has appeared in two ancient species of jawed vertebrates, Scyliorhinus torazame (low-affinity, Chondrichthyes) and Latimeria chalumnae (high-affinity, Coelacanthimorpha). Second, multiple independent affinity divergence events recur in fishes, amphibians-reptiles, birds, and mammals. Third, high affinity phenotypes go up in mammals, possibly implying the rapid expansion of mammals might accelerate the evolution of coronaviruses. Fourth, we found natural mutations at eight amino acid sites of ACE2 can determine most of phenotype divergences of bonding affinity in 247 vertebrates and resolved their related structural basis. Moreover, we also identified high-affinity or low-affinity-associated concomitant mutation group.The group linked to extremely high affinity may provide novel potentials for the development of human recombinant soluble ACE2 (hrsACE2) in treating patients with COVID-19 or for constructing genetically modified SARS-CoV-2 infection models promoting vaccines studies. These findings would offer potential benefits for the treatment and prevention of SARS-CoV-2.

evolutionary biology↗

bioRxiv2021

CSF metabolites associate with CSF tau and improve prediction of Alzheimer's disease status

INTRODUCTIONCerebrospinal fluid (CSF) total tau (t-tau) and phosphorylated tau (p-tau) are biomarkers of Alzheimers disease (AD), yet much is unknown about AD-associated changes in tau metabolism and tau tangle etiology. METHODSWe assessed the variation of t-tau and p-tau explained by 38 previously identified CSF metabolites using linear regression models in middle-age controls from the Wisconsin Alzheimers Disease Research Center, and predicted AD/mild cognitive impairment (MCI) vs. an independent set of older controls using metabolites selected by the least absolute shrinkage and selection operator (LASSO). RESULTSThe 38 CSF metabolites explained 70.3% and 75.7% of the variance in t-tau and p-tau. Of these, 7 LASSO-selected metabolites improved the prediction ability of AD/MCI vs. older controls (AUC score increased from 0.92 to 0.97 and 0.78 to 0.93) compared to the base model. DISCUSSIONThese tau-correlated CSF metabolites increase AD/MCI prediction accuracy and may provide insight into tau tangle etiology.

molecular biology↗

bioRxiv2020

Deciphering the mystery of influenza virus A antigenic drift and immune escape

The biggest challenge of influenza A virus vaccine development is the constant mutation of the virus, especially the antigenic drift. Therefore, we suggest establishing a research system for upgrading of current influenza A vaccines. The most fundamental but neglected thing is to determine the immune escape mutation (IEM) map (IEMM) of 20 amino acids in linear epitope to reveal the precise mechanism of the viral immune escape. Based on this assumption, we primarily divided IEM of HA-tag linear epitope into four types according to antibody affinity by ELISA. Our aim is to attract scholars to establish of IEMM library to deal with influenza A virus mutations in the future.

immunology↗

bioRxiv2020

Deep manifold learning reveals hidden dynamics of proteasome autoregulation

The 26S proteasome regulates proteostasis and myriad cellular processes. Here we reconstitute the hidden dynamics of human 26S proteasome during protein degradation using cryo-EM data-driven deep learning, which identified 64 proteasomal conformers. These conformers revealed substrate-dependent conformational entanglement of two 19S regulatory particles in the doubly capped holocomplexes. The rate-limiting step in single-nucleotide exchange dynamics of the AAA-ATPase motor is ATPase re-engagement with the substrate, while the rate-limiting step in proteasomal degradation is the initiation of substrate unfolding by the AAA-ATPase motor following deubiquitylation. Nine rare conformers delineated novel ubiquitin-binding sites on the RPN2 and 5 subunits, along with a ubiquitylation site on RPN10, which were verified using site-directed mutagenesis and liquid chromatography-tandem mass spectrometry. Opening of the 20S core particle gate was found to upregulate proteolytic activity by allosterically promoting nucleophilic attack on the scissile peptide bond. Our systematic analyses illuminate a grand hierarchical allostery underlying ubiquitin-mediated proteasome autoregulation.

biochemistry↗

bioRxiv2020

Rectal bacteria produce sex pheromones in the male oriental fruit fly

In recent decades, a growing body of literature has indicated that microbial symbionts of insects can modulate their hosts chemical profiles and mate choice decisions. However, there is currently little direct evidence indicate that insect pheromones can be produced by symbionts. Using Bactrocera dorsalis as a model system, we demonstrate that Bacillus sp. in the rectum of male B. dorsalis plays a pivotal role in sex pheromones production. We demonstrate that 2,3,5-trimethylpyrazine (TMP) and 2,3,5,6-tetramethylpyrazine (TTMP) are sex pheromones produced in the male rectums. Mature virgin females can be strongly attracted by TMP and TTMP. TMP and TTMP contents in male rectums can be decreased when rectal bacteria are inhibited with antibiotics. Moreover, Bacillus sp. isolated from male rectum can produce TMP and TTMP when providing with substrates-glucose and threonine, for which the contents are significantly higher in rectums of mature males. These findings highlight the influence of microbial symbionts on insect pheromones and provide an example of direct bacterial production of pheromones in insects.

ecology↗

bioRxiv2020

Independent parental contributions initiate zygote polarization in Arabidopsis thaliana

Embryogenesis of flowering plants is initiated by polarization of the zygote, a prerequisite for correct axis formation in the embryo. Zygote polarity and the decision between embryonic and non-embryonic development in the daughter cells is controlled by a MITOGEN-ACTIVATING PROTEIN (MAP) kinase signaling pathway including the MAPKK kinase YODA (YDA). Upstream of YDA act two members of the BRASINOSTEROID SIGNALING KINASE (BSK) family, BSK1 and BSK2. These membrane-associated proteins serve as signaling relay linking receptor kinase complexes with intracellular signaling cascades. The receptor kinases acting upstream of BSK1 and BSK2 in the zygote, however, have so far not been identified. Instead, YDA can in part be activated by the non-canonical BSK family member SHORT SUSPENSOR (SSP) that is contributed by the sperm cell during fertilization. Here, we show that the receptor kinase ERECTA plays a crucial role in zygote polarization as maternally contributed part of the embryonic YDA pathway. SSP on the other hand provides an independent, paternal input to YDA activation, outlining a Y-shaped pathway. We conclude that two independent parental contributions initiate zygote polarization and control suspensor formation and embryonic development.

plant biology↗

bioRxiv2020

A body map of somatic mutagenesis in morphologically normal human tissues

Somatic mutations accumulated in normal tissues are associated with aging and disease. Here, we performed a comprehensive genomic analysis of 1,737 morphologically normal tissue biopsies (~ 600 cells each), mostly from the epithelia, of nine organs from five donors. We found that somatic mutation accumulations and clonal expansions are widespread, although with variable extent, in morphologically normal human tissues. Somatic copy number alterations were rarely detected, except for tissues from esophagus and cardia. Endogenous mutational processes like SBS1 and SBS5 are ubiquitous among normal tissues though exhibiting different relative activities. Exogenous mutational processes like SBS22 were found in different tissues from the same donor. We reconstructed the spatial somatic clonal architecture with sub-millimeter resolution. In epithelial tissues from esophagus and cardia, macroscopic somatic clones expanded to several millimeters were frequently seen, whereas in tissues from colon, rectum, and duodenum somatic clones were microscopic in size and evolved independently. Our study depicted a body map of somatic mutations and clonal expansions from the same individuals, and it revealed that the degree of somatic clonal expansion and enrichment of driver mutations are highly organ specific.

genomics↗

bioRxiv2020

Accelerated Predictive Healthcare Analytics with Pumas, A High Performance Pharmaceutical Modeling and Simulation Platform

Pharmacometric modeling establishes causal quantitative relationships between administered dose, tissue exposures, desired and undesired effects and patients risk factors. These models are employed to de-risk drug development and guide precision medicine decisions. However, pharmacometric tools have not been designed to handle todays heterogeneous big data and complex models. We set out to design a platform that facilitates domain-specific modeling and its integration with modern analytics to foster innovation and readiness in healthcare. Pumas demonstrates estimation methodologies with dramatic performance advances. New ODE solver algorithms, such as coeficient-optimized higher order integrators and new automatic stiffness detecting algorithms which are robust to frequent discontinuities, give rise to a median 4x performance improvement across a wide range of stiff and non-stiff systems seen in pharmacometric applications. These methods combine with JIT compiler techniques, such as statically-sized optimizations and discrete sensitivity analysis via forward-mode automatic differentiation, to further enhance the accuracy and performance of the solving and parameter estimation process. We demonstrate that when all of these techniques are combined with a validated clinical trial dosing mechanism and non-compartmental analysis (NCA) suite, real applications like NLME fitting see a median 81x acceleration while retaining the same accuracy. Meanwhile in areas with less prior software optimization, like optimal experimental design, we see orders of magnitude performance enhancements over competitors. Further, Pumas combines these technical advances with several workflows that are automated and designed to boost productivity of the day-to-day user activity. Together we show a fast pharmacometric modeling framework for next-generation precision analytics.

pharmacology and toxicology↗