Biology subjects

Yang, W.

Publications and source records attributed to Yang, W..

At least 217 records · Page 12Linked to original sources

bioRxiv2022

Identification of RNA-based cell-type markers for the stem cell manufacture system with a statistical scoring function

Cell-type biomarkers are useful in stem cell manufacture to monitor cell purification, cell quantity, and quality. However, the study on cell-type markers, specifically for stem cell manufacture, is limited. The emerging questions are which RNA transcripts can serve as biomarkers during stem cell culture, and what method can efficiently and accurately discover these biomarkers. We developed a scoring function system to identify RNA biomarkers with RNA-seq data. We applied the method to two data sets, one for extracellular RNAs (ex-RNAs) and the other for intracellular microRNAs (miRNAs). The data set have RNA-seq data of ex-RNAs from cell culture media for six different types of cells, including human embryonic stem cells. To get the RNA-seq data from intracellular miRNAs, we cultured three types of cells: human embryonic stem cells (H9), neural stem cells (NSC), hESC-derived endothelial cells (EC) and conducted small RNA-seq to their intracellular miRNAs. Using these data, we identified a set of ex-RNAs/smRNAs as candidates of biomarkers for different types of cells for cell manufacture. We also used deep-learning based prediction methods and simulated data to validate these discovered biomarkers.

bioinformatics↗

bioRxiv2022

EVMP: Enhancing machine learning models for synthetic promoter strength prediction by Extended Vision Mutant Priority framework

MotivationIn metabolic engineering and synthetic biology applications, promoters with appropriate strengths are critical. However, it is time-consuming and laborious to annotate promoter strength by experiments. Nowadays many machine learning (ML) methods are applied to synthetic promoter strength prediction, but existing models are limited by the excessive proximity between synthetic promoters. ResultsIn order to enhance ML models to better predict the synthetic promoter strength, we propose EVMP(Extended Vision Mutant Priority), a universal framework which utilize mutation information more effectively. In EVMP, synthetic promoters are equivalently transformed into base promoter and corresponding k-mer mutations, which are input into BaseEncoder and VarEncoder respectively. In Trc synthetic promoter library, EVMP was applied to multiple ML models and the model effect was enhanced to varying extents, up to 61.30%, while the SOTA(state-of-the-art) record was improved by 15.25%. EVMP also provides optional data augmentation based on multiple base promoters, which further improved the model performance by 17.95% compared with non-EVMP SOTA record. In further study, extended vision is shown to be essential for EVMP. We also found that EVMP can alleviate the over-smoothing phenomenon, which may contributes to its effectiveness. Our work suggests that EVMP can highlight the mutation information of synthetic promoters and significantly improve the prediction accuracy of strength. Availability and implementationThe source code is publicly available on github: https://github.com/Tiny-Snow/EVMP. Contacthuangrr@sdu.edu.cn Supplementary informationAppendix is available at bioRxiv online.

bioinformatics↗

bioRxiv2022

St2cell: Reconstruction of in situ single-cell spatial transcriptomics by integrating high-resolution histological image.

Spatially resolved transcriptomics (SRT) has greatly expanded our understanding of the spatial patterns of gene expression in histological tissue sections. However, most currently available platforms could not provide in situ single-cell spatial transcriptomics, limiting their biological applications. Here, to in silico reconstruct SRT at the single-cell resolution, we propose St2cell which combines deep learning-based frameworks with a novel convex quadratic programming (CQP)-based model. St2cell can thoroughly leverage information in high-resolution (HR) histological images, enabling the accurate segmentation of in situ single cells and identification of their transcriptomics. Applying St2cell on various SRT datasets, we demonstrated the reliability of reconstructed transcriptomics. The single-cell resolution provided by our proposed method greatly promoted the detection of elaborate spatial architectures and further facilitated the integration with single-cell RNA-sequencing data. Moreover, in a breast cancer tissue, St2cell identified general spatial structures and co-occurrence patterns of cell types in the tumor microenvironment. St2cell is also computationally efficient and easily accessible, making it a promising tool for SRT studies.

bioinformatics↗

bioRxiv2022

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer

Colorectal cancer (CRC) is one of the most common gastrointestinal malignancies. There are few recurrence risk signatures for CRC patients. Single-cell RNA-sequencing (scRNA-seq) provides a high resolution platform for prognostic signature detection. However, scRNA-seq is not practical in large cohorts due to its high cost and most single-cell experiments lack clinical phenotype information. Few studies have been reported to use external bulk transcriptome with survival time to guide the detection of key cell subtypes in scRNA-seq data. We proposed a data analysis framework to prioritize prognostic-associated subpopulations based on relative expression orderings (REOs). Cell type specific gene pairs (C-GPs) were identified to evaluate prognostic value for each cell type. We found REOs-based signatures could accurately classify most cell subtypes. C-GPs achieves higher precision compared with four current methods. Moreover, we developed single-cell gene pair signatures to predict recurrence risk for patients individually. Fibro_SGK1 cells and IgA+ IGLC2+ B cells were novel prognostic-associated subpopulations. A user-friendly toolkit, scRankXMBD (https://github.com/xmuyulab/scRank-XMBD), was developed to enable implementation of this framework. Our work facilitate the application of the rank-based method in scRNA-seq data for prognostic biomarker discovery and precision oncology.

bioinformatics↗

bioRxiv2022

Pseudokinase HPO-11 inhibits nonsense-mediated decay to ensure genome stability in C. elegans

DNA double-strand breaks (DSBs) are highly toxic DNA lesions that can induce mutations and chromosome rearrangement therefore causing genome instability (GIN). In response to DSBs, cells activate the DNA damage response by hierarchical assembly of signaling and repair mechanisms. This involves recruitment of the repair factors at DSB sites, local chromatin remodeling, cell cycle arrest and, eventually, DNA repair or apoptosis. Studies investigating mechanisms ensuring genome stability have so far mostly focused on DNA-protein interactions and signal transduction in response to DNA damage. Emerging evidence in the last decade suggests that post-transcriptional control of gene expression by RNA-binding proteins also participates in maintaining genome integrity. However, how specific control of RNA fate mechanistically affects genome stability is still poorly understood. Here, we report that the pseudokinase HPO-11 ensures genome integrity in C. elegans. Loss of hpo-11 leads to accumulation of R-loops, increased DSBs and germline apoptosis, as well as an elevated mutation rate in the somatic cells. In addition, inhibition of nonsense mediated decay (NMD) reduces DSBs and germline apoptosis in the absence of hpo-11. We find that HPO-11 physically interacts with SMG-2, the core factor of NMD, and prevents degradation of specific transcripts by NMD, thus contributing to maintenance of genome stability. Furthermore, knock-down of hpo-11 human homologs NRBP1/2 also results in increased DNA DSBs, and NRBP1/2 physically interact with the human SMG-2 orthologue UPF1. In summary, our work identifies an evolutionarily conserved role of HPO-11 to protect genome stability via suppressing abnormal mRNA decay by NMD.

molecular biology↗

bioRxiv2022

Basal type I interferon signaling has only modest effects on neonatal and juvenile hematopoiesis

Type I interferon (IFN-1) regulates gene expression and hematopoiesis both during development and in response to inflammatory stress. We previously showed that during development, hematopoietic stem cells (HSCs) and multipotent progenitors (MPPs) induce IFN-1 target genes shortly before birth in mice. This coincides with the onset of a transition to adult hematopoiesis, and it drives expression of genes associated with antigen presentation. However, it is not clear whether perinatal IFN-1 modulates hematopoietic output, as has been observed in contexts of inflammation. We have characterized hematopoiesis at several different stages of blood formation, from HSCs to mature blood cells, and found that loss of the IFN-1 receptor (IFNAR1) leads to depletion of several phenotypic HSC and MPP subpopulations in neonatal and juvenile mice. Committed lymphoid and myeloid progenitor populations simultaneously expand. These changes had surprisingly little effect on production of more differentiated blood cells. Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq) resolved the discrepancy between the extensive changes in progenitor numbers and modest changes in hematopoiesis, revealing stability in most MPP populations in Ifnar1-deficient neonates when the populations were identified based on gene expression rather than surface marker phenotype. Thus, basal IFN-1 signaling has only modest effects on hematopoiesis. Discordance between transcriptionally- and phenotypically-defined MPP populations may impact interpretations of how IFN-1 shapes hematopoiesis in other contexts, such as aging or inflammation. KEY POINTSO_LILoss of type I Interferon signaling in neonatal mice depletes immature blood progenitors without compromising postnatal hematopoiesis C_LIO_LIProgenitor populations remain intact when measured by single cell transcriptomes rather than surface marker phenotypes C_LI

cell biology↗

bioRxiv2022

Transcellular progression of infection threads in Medicago truncatula roots is controlled by locally confined cell wall modifications

The root nodule symbiosis with its global impact on nitrogen fertilization of soils is characterized by an intracellular colonization of legume roots by rhizo-bacteria. While the symbionts are initially taken up by morphologically adapted root hairs, rhizobia persistently progress within a membrane-confined infection thread through several root cortical and later nodular cell layers. Throughout this transcellular passaging, rhizobia have to repeatedly pass host plasma membranes and cell walls. Here, we genetically dissected this essential process and describe the concerted action of the symbiosis-specific pectin methyl esterase SyPME and the pectate lyase NPL at the infection thread and transcellular passage sites. Their coordinated function mediates spatially confined pectin alterations in the cell-cell interface that result in the establishment of an apoplastic compartment where bacteria are temporarily released into and taken up from the subjacent cell. This process allows successful intracellular progression of infection threads through the entire root cortical tissue.

plant biology↗

bioRxiv2022

A novel cuproptosis-related long non-coding RNAs model that effectively predicts prognosis in hepatocellular carcinoma

BackgroundCuproptosis has recently been considered a novel form of programmed cell death. To date, factors crucial to the regulation of this process remain unelucidated. Here, we aimed to identify long-chain non-coding RNAs (lncRNAs) associated with cuproptosis in order to predict the prognosis of patients with hepatocellular carcinoma (HCC). MethodsUsing RNA sequence data from The Cancer Genome Atlas Live Hepatocellular Carcinoma (TCGA-LIHC), a co-expression network of cuproptosis-related mRNAs and lncRNAs was constructed. For HCC prognosis, we developed a cuproptosis-related lncRNA signature (CupRLSig) using univariate Cox, lasso, and multivariate Cox regression analyses. Kaplan-Meier analysis was used to compare overall survival among high- and low-risk groups stratified by median CupRLSig score. Furthermore, comparisons of functional annotation, immune infiltration, somatic mutation, TMB (tumor mutation burden), and pharmacologic options were made between high- and low-risk groups. ResultsOur prognostic risk model was constructed using the cuproptosis-related PICSAR, FOXD2-AS1, and AP001065.1 lncRNAs. The CupRLSig high-risk group was associated with poor overall survival (hazard ratio = 1.162, 95% CI = 1.063- 1.270; p < 0.001). Model accuracy was further supported by receiver operating characteristic and principal component analysis as well as internal validation cohorts. A prognostic nomogram developed considering CupRLSig data and a number of clinical characteristics were found to exhibit adequate performance in survival risk stratification. Mutation analysis revealed that high-risk combinations with high TMB carried worse prognoses. Finally, differences in immune checkpoint expression and responses to chemotherapy as well as in targeted therapy among CupRLSig stratified high- and low-risk groups were explored. ConclusionsThe lncRNA signature constructed in this study is valuable in prognostic estimation in the setting of HCC.

bioinformatics↗

bioRxiv2022

Community assessment of methods to deconvolve cellular composition from bulk gene expression

We evaluate deconvolution methods, which infer levels of immune infiltration from bulk expression of tumor samples, through a community-wide DREAM Challenge. We assess six published and 22 community-contributed methods using in vitro and in silico transcriptional profiles of admixed cancer and healthy immune cells. Several published methods predict most cell types well, though they either were not trained to evaluate all functional CD8+ T cell states or do so with low accuracy. Several community-contributed methods address this gap, including a deep learning-based approach, whose strong performance establishes the applicability of this paradigm to deconvolution. Despite being developed largely using immune cells from healthy tissues, deconvolution methods predict levels of tumor-derived immune cells well. Our admixed and purified transcriptional profiles will be a valuable resource for developing deconvolution methods, including in response to common challenges we observe across methods, such as sensitive identification of functional CD4+ T cell states.

bioinformatics↗

bioRxiv2022

A common mechanism of temperature-sensing in thermoTRP channels

Detecting temperature is crucial for the survival of living organisms. Though the thermo transient receptor potential (thermoTRP) channels, such as TRPV1 or TRPM8, have been identified as prototypic heat or cold sensors, respectively, how they detect temperature remains elusive. Here we first identified groups of clustered residues in these channels that undergo burial/exposure conformational rearrangements during temperature activation by analyzing available protein structures or hydroxyl radical footprinting-mass spectroscopy (HRF-MS). By systematically perturbing water-protein interactions at these residues, we found that the temperature sensitivity in these channels were modulated in accordance with the sidechain hydrophobicity. The changes in energy associated with changes in water-protein interactions were sufficient for thermo activation. Therefore, our study has established that the water-protein interactions as a common mechanism underlying temperature sensing in TRPM8 and TRPV1.

biophysics↗

bioRxiv2022

Modification-Dependent Restriction Endonuclease-based sequencing method (EcoWI-seq) maps the genome-wide landscape of phosphorothioate modification at base resolution.

Phosphorothioation (PT), in which a non-bridging oxygen is replaced by a sulfur, is one of the rare modifications discovered in bacteria and archaea that occurs on the sugar-phosphate backbone as opposed to the nucleobase moiety of DNA. While PT modification is widespread in the prokaryotic kingdom, how PT modifications are distributed in the genomes and their exact roles in the cell remain to be defined. In this study, we developed a simple and convenient technique called EcoWI-seq based on a modification-dependent restriction endonuclease to identify genomic positions of PT modifications. EcoWI-seq shows similar performance than other PT modification detection techniques and additionally, is easily scalable while requiring little starting material. As a proof of principle, we applied EcoWI-seq to map at base resolution the PT modifications in the genomes of both the Salmonella enterica cerro 87 and E. coli expressing the dnd+ gene cluster. Specifically, we address whether the partial establishment of modified PT positions is a stochastic or deterministic process. EcoWI-seq reveals a systematic usage of the same subset of target sites in clones for which the PT modification has been independently established.

microbiology↗

bioRxiv2022

Neural signals encoded by specific frequencies of closed-loop electrical stimulation structurally and functionally reconstruct spinal sensorimotor circuits after spinal cord injury

Epidural electrical stimulation restores locomotion in animals and humans with spinal cord injury (SCI). However, the coding rules underlying electrical stimulation remain poorly understood, which has greatly limited the application of such electrical neuromodulation techniques in SCI clinical treatment. To elucidate the coding rules of electrical stimulation on spinal sensorimotor circuit reconstruction after complete SCI, we initially developed a spinal-muscle closed-loop stimulation protocol to mimic feedforward and feedback electrical signals in spinal sensorimotor circuits. Afterwards, using methods of sensorimotor function evaluation, neural circuit tracing and neural signal recording, we discovered a unique stimulus frequency of 10-20 Hz under closed-loop conditions was required for structural and functional reconstruction of spinal sensorimotor circuits. The single-cell transcriptome analysis of activated motoneurons characterized molecular networks involved in spinal sensorimotor circuit reconstruction. This study provides insights into neural signal decoding during spinal sensorimotor circuit reconstruction, and indicates a technological approach for the clinical treatment of SCI.

neuroscience↗

bioRxiv2022

FIB-SEM analysis on three-dimensional structures of growing organelles in wild Chlorella pyrenoidosa cells

To clarify dynamic changes of organelle microstructures in Chlorella pyrenoidosa cells during photosynthetic growth with CO2 fixation, three-dimensional organelle microstructures in three growth periods of meristem, elongation and maturity were quantitatively determined and comprehensively reconstructed with focused ion beam scanning electron microscopy (FIB-SEM). The single round-pancake mitochondria in each cell split into a dumbbell and then into a circular ring, while barycenter distance of mitochondria to chloroplast and nucleus was reduced to 45.5% and 88.3% to strengthen energy transfer, respectively. The single pyrenoid consisting of a large part and another small part in each chloroplast gradually developed to a mature state in which the two parts were nearly equal in size. The nucleolus progressively became larger with euchromatin replication. The number of starch grains gradually increased, but average grain volume remained nearly unchanged.

cell biology↗

bioRxiv2022

A transcriptional complex of FtMYB102 and FtbHLH4 coordinately regulates the accumulation of rutin in Fagopyrum tataricum

Tartary buckwheat is rich in flavonoids, which not only play an important role in plant-environment interaction, but are also beneficial to human health. Rutin is a therapeutic flavonol which is massively accumulated in Tartary buckwheat. It has been demonstrated that transcription factors control rutin biosynthesis. However, the transcriptional regulatory network of rutin is not fully clear. In this study, through transcriptome and target metabolomics, we validated the role of FtMYB102 and FtbHLH4 TFs at the different developmental stages of Tartary buckwheat. The elevated accumulation of rutin in the sprout appears to be closely associated with the expression of FtMYB102 and FtHLH4. Yeast two-hybrid, transient luciferase activity and co-immunoprecipitation demonstrated that FtMYB102 and FtbHLH4 can interact and form a transcriptional complex. Moreover, yeast one-hybrid showed that both FtMYB102 and FtbHLH4 directly bind to the promoter of chalcone isomerase (CHI), and they can coordinately induce CHI expression as shown by transient luciferase activity assay. Finally, we transferred the FtMYB102 and FtbHLH4 into the hairy roots of Tartary buckwheat and found that they both can promote the accumulation of rutin. Our results indicate that FtMYB102 and FtbHLH4 can form a transcriptional complex by inducing CHI expression to coordinately promote the accumulation of rutin.

plant biology↗

bioRxiv2022

The production of diverse brGDGTs by an Acidobacterium allows a direct test of temperature and pH controls on their distribution

Microbial lipid biomarkers preserved in geological archives can be used to explore past climate changes. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are unique bacterial biomarkers that have been used as molecular tools for the quantitative determination of terrestrial temperatures and the pH of depositional environments over a range of geological timescales. However, the exact biological source organisms - especially of the entire suite of brGDGTs found in the environment - remains unclear; by extension, so do the mechanisms that govern these proxies. Here, we identified a brGDGT-producing strain Candidatus Solibacter usitatus Ellin6076, by identifying archaeal tetraether synthase homologs in bacterial genomes. This strain synthesizes diverse brGDGTs, including regular C5-methylated and cyclic brGDGTs, and brGDGTs comprise up to 66% of the major lipids, far exceeding the proportions found in previous studies. The degree of C5-methylation in cultured strain Ellin6076 is primarily determined by temperature, whereas cyclization appears to be influenced by multiple factors. Consequently, culture-derived paleoclimate indices are in agreement with the global soil-derived MBT5ME (methylation index of C5-methyl brGDGTs) proxy for temperature but not the CBT5ME (cyclization index of C5-methyl brGDGTs) proxy for pH. Our findings provide important insights from a physiological perspective into the underlying mechanism of brGDGT-based proxies. Significance StatementBranched glycerol dialkyl glycerol tetraethers (brGDGTs) are biomarkers widely used for the quantitative estimation of past climatic changes due to their ubiquitous occurrence in the environment and the relationships between their distributions and temperature and pH. However, the ecophysiology of brGDGT-producing bacteria and the mechanistic basis for brGDGT-based climate proxies remain unknown. Here, we identify a brGDGT-producing Acidobacterium and present a physiological study of brGDGTs in response to cultivation variables, which provides pivotal insights into how brGDGT producers modulate methylation and cyclization under different culturing conditions. Our study represents a significant advancement in understanding the physiological role of lipid structures in microbial adaptation and helps us interpret the relationships between brGDGT-based proxies and environmental conditions of the geological environment.

microbiology↗

bioRxiv2022

Multiethnic Polygenic Risk Prediction in Diverse Populations through Transfer Learning

Polygenic risk scores (PRS) leverage the genetic contribution of an individuals genotype to a complex trait by estimating disease risk. Traditional PRS prediction methods are predominantly for European population. The accuracy of PRS prediction in non-European populations is diminished due to much smaller sample size of genome-wide association studies (GWAS). In this article, we introduced a novel method to construct PRS for non-European populations, abbreviated as TL-Multi, by conducting transfer learning framework to learn useful knowledge from European population to correct the bias for non-European populations. We considered non-European GWAS data as the target data and European GWAS data as the informative auxiliary data. TL-Multi borrows useful information from the auxiliary data to improve the learning accuracy of the target data while preserving the efficiency and accuracy. To demonstrate the practical applicability of the proposed method, we applied TL-Multi to predict the risk of systemic lupus erythematosus (SLE) in Asian population and the risk of asthma in Indian population by borrowing information from European population. TL-Multi achieved better prediction accuracy than the competing methods including Lassosum and meta-analysis in both simulations and real applications.

genetics↗

bioRxiv2022

Characteristics of N6-methyladenosine modification during sexual reproduction of Chlamydomonas reinhardtii

The unicellular green alga Chlamydomonas reinhardtii (referred to as Chlamydomonas throughout) is an ideal model organism which possesses both plant and animal attribute for studying the fundamental processes such as photosynthesis, sexual reproduction and life cycle etc. N6-methyladenosine (m6A) is the most prevalent mRNA modification and plays important roles during sexual reproduction in animals and plants. However, the pattern and function of m6A modification during Chlamydomonas sexual reproduction is still unknown. Here, we performed transcriptome and MeRIP sequencing on the six samples from different stages during sexual reproduction of Chlamydomonas life cycle. The results showed that m6A occurs widely at the main motif of UGKAM (K= U/G, M= A/C) in Chlamydomonas mRNA. Moreover, m6A peak in Chlamydomonas mRNA is mainly enriched in the 3UTR region and negatively correlated with the abundance of the transcripts at each stage. Especially, genes in microtubule-associated pathway showed a significant negative correlation between gene expression level and m6A level, indicating the influences of m6A modification on sexual reproduction and life cycle of Chlamydomonas through regulating microtubule-based movement. In summary, our findings first demonstrate the distributions and the functions of m6A modification in Chlamydomonas and provide new insights into the understandings of m6A modification in the process of sexual reproduction in other plant organisms evolutionarily.

plant biology↗

bioRxiv2022

PP2A forestalls mitophagy by dephosphorylating Parkin and ubiquitin

Mitophagy is a selective autophagic process that removes damaged mitochondria. PINK1-Parkin axis is primarily responsible for initiating mitophagy via feedforward mechanism, in which PINK1 phosphorylates ubiquitin and Parkin, and Parkin gains E3 ligase activity at the mitochondrial outer membrane. However, the phosphatase of pParkin is unknown, and the braking mechanism of mitophagy is incomplete. Here we report that protein phosphatase 2A (PP2A) catalyzes the dephosphorylation of Parkin and ubiquitin, with C, A, and B55, the catalytic scaffolding and regulatory subunits, respectively. Up- or down-regulation of PP2A protein level in cells by over-expression or transfection of specific siRNA decreases or increases Parkin and ubiquitin phosphorylation levels, respectively. Consequently, PP2A phosphatase activity negatively modulates mitochondrial translocation of Parkin and forestalls mitophagy. Our finding thus places PP2A, an enzyme already known for its involvement in the pathogenesis of neurodegenerative diseases, further intertwined with the PINK1-Parkin signaling pathway.

biochemistry↗