Biology subjects

Yuan, R.

Publications and source records attributed to Yuan, R..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Computing the Human Interactome

Protein-protein interactions (PPI) are essential for biological function. Recent advances in coevolutionary analysis and Deep Learning (DL) based protein structure prediction have enabled comprehensive PPI identification in bacterial and yeast proteomes, but these approaches have limited success to date for the more complex human proteome. Here, we overcome this challenge by 1) enhancing the coevolutionary signals with 7-fold deeper multiple sequence alignments harvested from 30 petabytes of unassembled genomic data, and 2) developing a new DL network trained on augmented datasets of domain-domain interactions from 200 million predicted protein structures. These advancements allow us to systematically screen through 200 million human protein pairs and predict 18,316 PPIs with an expected precision of 90%, among which 5,578 are novel predictions. 3D models of these predicted PPIs nearly triple the number of human PPIs with accurate structural information, providing numerous insights into protein function and mechanisms of human diseases.

biochemistry↗

bioRxiv2024

A causative SNP in the promoter of myogenin is essential for myogenic differentiation

Single nucleotide polymorphisms (SNPs) widely existing in different breeds genome represent population-specific. Under the influence of long-term evolution and artificial selection, there are a large number of SNPs between western lean-type pig breeds and Chinese indigenous pig breeds, but until now, little is known about their roles in inter-breed differences. Our study revealed SNP rs3471653254 C>T generated from the two types of pigs mentioned above, located in the promoter shared by MyoG and Myoparr, played an important role in the differentiation of myoblast by influencing the enrichment of HOXA5 to regulate the transcription of MyoG and Myoparr. Meanwhile, Myoparr could be used as the sponge of mir-30b-3p which repressed myogenic differentiation and muscle regeneration through targeting MyoD. Our results indicated that SNP rs3471653254 C>T is essential for myogenic differentiation and regeneration and could be used as an ideal site for increasing lean meat production in pigs.

genetics↗

bioRxiv2023

Antibody Humanization via Protein Language Model and Neighbor Retrieval

Antibody (Ab), also known as immunoglobulin (Ig), is an essential macromolecule involved in human immune response and plays an increasingly vital role in drug discovery. However, the development of antibody drugs heavily relies on humanization of murine antibodies, which often necessitates multiple rounds of sequence optimizations through laborious experimental processes. In recent years, the remarkable capabilities of machine learning have revolutionized the field of natural sciences and have also demonstrated promising applications in the field of antibody humanization. Here, we present Protein-LAnguage-model-knN (PLAN), a machine learning model leveraging protein language model and information retrieval for improving humanization of antibodies. Further, we propose DE, a computed value shows a positive correlation with antigen-binding affinity. Our in silico experimental results demonstrate that 1) the PLAN-humanized sequences average humanness score reaches 0.592, improving over the best existing method by 44.7%; 2) a 63% overlap between the PLAN-proposed mutations and the mutations validated through wet lab experiments, which is 16.7% higher than the best existing result; 3) comparable antigen-binding affinity after DE guided back mutation.

bioinformatics↗

bioRxiv2023

Comprehensive Assessment of Isoform Detection Methods for Third-Generation Sequencing Data

The advancement of Third-Generation Sequencing (TGS) techniques has significantly increased the length of sequencing to several kilobases, thereby facilitating the identification of alternative splicing (AS) events and isoform expressions. Recently, numerous computational methods for isoform detection using long-read sequencing data have been developed. However, there is lack of prior comparative studies that systemically evaluates the performance of these software tools, implemented with different algorithms, under various simulations that encompass potential influencing factors. In this study, we conducted a benchmarking analysis of eleven methods implemented in eight computational tools capable of identifying isoform structures from TGS RNA sequencing data. We evaluated their performances using simulated data, which represented diverse sequencing platforms generated by an in-house simulator, as well as experimental data. Our comprehensive results demonstrate the guided mode of StringTie2 and Bambu achieved the best performance in sensitivity and precision, respectively. This study provides valuable guidance for future research on AS analysis and the ongoing improvement of tools for isoform detection using TGS data.

bioinformatics↗

bioRxiv2023

RIP140 regulates HES1 oscillatory expression and mitogenic activity in colon cancer cells

BackgroundThe transcription factor RIP140 (Receptor Interacting Protein of 140 kDa) regulates intestinal homeostasis and tumorigenesis through the Wnt signaling. In this study, we have investigated its effect on the Notch/HES1 signaling pathway. MethodsThe impact on HES1 expression and activity was evaluated in colorectal cancer (CRC) cell lines and in transgenic mice, invalidated or not for the Rip140 gene in the intestinal epithelium. A tumor microarray and transcriptomic data sets were used to investigate RIP140 and HES1 expression in relation with patient survival. Statistical comparisons were performed with Mann-Whitney or Kruskal-Wallis or Chi2 tests. ResultsIn CRC cells, RIP140 positively regulated HES1 gene expression at the transcriptional level via an RBPJ/NICD-mediated mechanism. In support of these in vitro data, RIP140 and HES1 expression significantly correlated in mouse intestine and in a cohort of CRC samples, analyzed by immunohistochemistry, thus supporting the positive regulation of HES1 gene expression by RIP140. Interestingly, when the Notch pathway is fully activated, RIP140 exerted a strong inhibition of HES1 gene transcription controlled by the level of HES1 itself. Moreover, RIP140 directly interacts with HES1 and reversed its mitogenic activity in human CRC cells. In line with this observation, HES1 levels were associated with a better patient survival only when tumors expressed high levels of RIP140. ConclusionsOur data identify RIP140 as a key regulator of the Notch/HES1 signaling pathway with a dual effect on HES1 gene expression at the transcriptional level and a strong impact on colon cancer cell proliferation.

cancer biology↗

bioRxiv2023

Multi-omics and Pharmacological Characterization of Patient-derived Glioma Cell Lines

Glioblastoma (GBM) is the most common brain tumor and is currently incurable. Primary GBM cultures are widely used tools for screening potentially therapeutic drugs; however, there is a lack of genomic and pharmacological characterization of these primary GBM cultures. Here, we collected 52 patient-derived glioma cell (PDGC) lines and characterized them through whole- genome sequencing (WGS), RNA-seq, and drug response screening. We identified three molecular subtypes among PDGCs: mesenchymal (MES), proneural (PN), and oxidative phosphorylation (OXPHOS). Upon profiling the responses of PDGCs to 214 drugs, we found that the PN subtype PDGCs were sensitive to tyrosine kinase inhibitors, whereas the OXPHOS subtype PDGCs were sensitive to histone deacetylase inhibitors, oxidative phosphorylation inhibitors, and HMG-CoA reductase inhibitors. PN and OXPHOS subtype PDGCs stably formed tumors in vivo upon intracranial transplantation into immunodeficient mice, while most MES subtype PDGCs were incapable of tumorigenesis in vivo. In addition, profiling and follow-up investigations showed that the serum-free culture system used for PDGCs enriched and propagated rare MYC/MYCN- amplified glioma cells. Our study provides a resource for understanding primary glioma cell cultures and aiding clinical translation. SignificanceOur study provides a resource for patient-derived glioma cell lines (PDGCs) on transcriptome, genome, drug response, and tumorigenic abilities. PDGCs are categorized into PN, MES, and OXPHOS subtypes, with MES-subtype PDGCs incapable of tumorigenesis in vivo. Notably, the serum-free culture system for PDGCs enriches glioma cells with MYC/MYCN amplification.

cancer biology↗

bioRxiv2023

Single-cell transcriptome analysis on the anatomic positional heterogeneity of pig skin

Different anatomic locations of the body skin dermis come from different origins, and its positional hereditary information can be maintained in adults, while highly resolvable cellular specialization is less well characterized in different anatomical regions. Pig is regarded as excellent model for human research in view of its similar physiology to human. In this study, we performed single-cell RNA sequencing of six different anatomical skin regions from the Chenghua pig with superior skin thickness trait. We obtained 215,274 cells, representing seven cell types, among which we primarily characterized the heterogeneity of smooth muscle cells, endothelial cells and fibroblasts. We identified several phenotypes of smooth muscle cell and endothelial cell and presented genes expression of pathways such as the immune response in different skin regions. By comparing differentially expressed fibroblast genes among different skin regions, we considered TNN, COL11A1, and INHBA as candidate genes for facilitating ECM accumulation. These findings of heterogeneity in the main three cell types from different anatomic skin sites will contribute to a better understanding of hereditary information and places the potential focus on skin generation, transmission and transplantation, paving the foundation for human skin priming.

cell biology↗

bioRxiv2022

CXCL4 signaling and gene induction in human monocytes involve a TLR4 response divergent from LPS

The chemokine CXCL4 activates myeloid cells and contributes to the pathogenesis of inflammatory and fibrotic diseases. One mechanism of CXCL4 action is binding of nucleic acids to promote their internalization and activation of endosomal TLRs. However, the signaling pathways and receptors that mediate myeloid cell responses to CXCL4 alone are not well characterized. Here, we report that in primary human monocytes, CXCL4 activated NF-{kappa}B and a TBK1-JNK signaling axis that drive the expression of inflammatory, fibrotic and neutrophil chemokine genes, and also RIPK3-dependent necroptosis. Surprisingly, six distinct lines of evidence targeting TLR4 expression and function suggested a role for TLR4 in CXCL4 responses. However, we were not able to completely dissect the contributions of CXCL4 alone to the observed results versus a contribution from endotoxin contamination. Our findings suggest that the interactions between CXCL4 and TLR4 merit further study.

immunology↗

bioRxiv2022

Multi-omics data integration via novel interpretable k-hop graph attention network for signaling network inference

With the advent of sequencing technology, large-scale multi-omics data have been generated to understand the diversity and heterogeneity of genetic targets and associated complex signaling pathways at multiple levels in diseases, which are critical targets to guide the development of personalized precision medicine. However, it remains a challenging task to computationally mine a few essential targets and pathways from a large number of variables characterized by the multi-level multi-omics data. In this study, we proposed a novel interpretable k-hop graph attention network model, k-hop GAT, to integrate the multi-omics data to infer the essential targets and related signaling networks. We evaluated the proposed model using the multi-omics data, i.e., genetic mutation, copy number variation, methylation, gene expression data, of 332 cancer lines; and the experimentally identified essential targets. The validation and comparison results indicated that the proposed model outperformed the GAT and graph convolutional network (GCN) models.

systems biology↗

bioRxiv2022

Do Newly Born Orphan Proteins Resemble Never Born Proteins?A Study using Deep Learning Algorithms

Newly Born proteins, devoid of detectable homology to any other proteins, known as orphan proteins, occur in a single species or within a taxonomically restricted gene family. They are generated by expression of novel Open Reading Frames, and appear throughout evolution. We were curious if the three recently developed programs for predicting protein structures, viz., AlphaFold2, RoseTTAFold, and ESMFold, might be of value for comparison of such Newly Born proteins to random polypeptides with amino acid content similar to that of native proteins, which have been called Never Born proteins. The programs were used to compare the structures of two sets of Never Born proteins that had been expressed - Group 1, which had been shown experimentally to possess substantial secondary structure, and Group 3, which had been shown to be intrinsically disordered. Overall, the models generated were scored as being of low quality but revealed some general principles. Specifically, all four members of Group 1 were predicted to be compact by all three algorithms. The members of Group 3 were predicted to be very extended, as would be expected for intrinsically disordered proteins. The three programs were then used to predict the structures of three orphan proteins whose crystal structures had been solved, two of which display novel folds. Finally, they were used to predict the structures of seven orphan proteins with well-identified biological functions, whose 3D structures are not known. Two proteins, which were predicted to be disordered based on their sequences, are predicted by all three structure algorithms to be extended structures. The other five were predicted to be compact structures with two exceptions in the case of AlphaFold2. All three prediction algorithms make remarkably similar and high-quality predictions for one large protein, HCO_11565, from a nematode. It is conjectured that this is due to many homologs in the taxonomically restricted family of which it is a member and to the fact that the Dali server revealed several non-related proteins with similar folds. Overall, orphan and taxonomically restricted proteins are often predicted to have compact 3D structures, sometimes with a novel fold that is a consequence of their novel sequences, which are associated with the appearance of new biological functions.

molecular biology↗

bioRxiv2022

A non-lemniscal thalamic interface connecting alerting sensory cues to internal states in mice

Alterations in internal states, such as elevated arousal level and increased anxiety or fear, triggered by alerting environmental cues are required for behavioral state transitions promoting survival. However, the specific brain region that plays an interfacing role between alerting stimuli and internal states remains to be identified. Here, we report that the medial sector of the auditory thalamus (ATm), which consists of a group of non-lemniscal thalamic nuclei, can fulfill this function. VGluT2-expressing ATm (ATmVGluT2+) neurons receive direct and strong inputs from both visual and auditory midbrain regions, and project to multiple downstream structures critically involved in brain state regulation. Their activity was correlated with, and indispensable for, both blue light- and sound-induced NREM sleep-to-Wake transition, and their arousing effects were mainly mediated by, but not limited to, the temporal association cortices. ATmVGluT2+ neuron activation in awake behaving mice induced pupil dilation and behavioral responses suggestive of anxiety. Blocking the neurotransmitter release of ATmVGluT2+ neurons receiving auditory inputs selectively abolished loud noise-triggered escape behavior but not locomotion. Thus, the ATm is an interface in mouse brain that can transform alerting environmental cues into internal arousal and emotional state alterations that promote survival.

neuroscience↗

bioRxiv2022

Dynamic decoupling of salience and default mode networks by optogenetic manipulation of anterior insular cortex

The salience network (SN) and default mode network (DMN) play a crucial role in cognitive function. The SN, anchored in the anterior insular cortex (AI), has been hypothesized to modulate DMN activity during stimulus-driven cognition. However, the causal neural mechanisms underlying changes in DMN activity and its functional connectivity with the SN are poorly understood. Here we combine feedforward optogenetic stimulation with fMRI and computational modeling to dissect the causal role of AI neurons in dynamic functional interactions between SN and DMN nodes in the rat brain. Optogenetic stimulation of Chronos-expressing AI neurons in rats suppressed DMN activity, and decreased AI-DMN and intra-DMN functional connectivity. Our findings demonstrate that feedforward optogenetic stimulation of AI neurons induces dynamic suppression and decoupling of the DMN and elucidates previously unknown features of rodent brain network organization. Our study advances foundational knowledge of causal mechanisms underlying dynamic cross-network interactions and brain network switching. TeaserInsular cortex stimulation reveals causal mechanisms underlying default mode network suppression by the salience network

neuroscience↗

bioRxiv2022

Costimulation of TLR8 responses by CXCL4 in Human Monocytes Mediated by TBK1-IRF5 Signaling and Epigenomic Remodeling

Regulation of endosomal TLR responses by the chemokine CXCL4 is implicated in inflammatory and fibrotic diseases. The current paradigm is that CXCL4 potentiates TLR responses by binding and facilitating endosomal delivery of nucleic acid TLR ligands. We report that in human monocytes/macrophages, CXCL4 initiates signaling cascades and downstream epigenomic reprogramming that change the profile of the TLR8 response by selectively and dramatically amplifying inflammatory gene transcription and IL-1{beta} production, while partially attenuating the IFN response. Mechanistically, costimulation by CXCL4 and TLR8 synergistically activated TBK1/IKK{varepsilon} and repurposed these kinases towards an inflammatory response via coupling with IRF5, and by activating the NLRP3 inflammasome without the need for an exogenous activator of a second signal for IL-1{beta} maturation. CXCL4 signaling strongly induced chromatin remodeling and de novo enhancers associated with inflammatory genes in a cooperative and synergistic manner with TLR8. These findings identify new mechanisms of regulation of TLR responses relevant for cytokine storm, and suggest targeting the TBK1/IKK{varepsilon}-IRF5 axis may be beneficial in inflammatory diseases.

immunology↗

bioRxiv2020

RAD: a web application to identify region associated differentially expressed genes

With the advance of genomic sequencing techniques, chromatin accessible regions, transcription factor binding sites and epigenetic modifications can be identified at genome-wide scale. Conventional analyses focus on the gene regulation at proximal regions; however, distal regions are usually neglected, largely due to the lack of reliable tools to link the distal regions to coding genes. In this study, we introduce RAD (Region Associated Differentially expressed genes), a user-friendly web tool to identify both proximal and distal region associated differentially expressed genes. RAD maps the up- and down-regulated genes associated with any genomic regions of interest (gROI) and helps researchers to infer the regulatory function of these regions based on the distance of gROI to differentially expressed genes. RAD includes visualization of the results and statistical inference for significance. AvailabilityRAD is implemented with Python 3.7 and run on a Nginx server. RAD is freely available at http://labw.org/rad as online web service.

bioinformatics↗

bioRxiv2020

Towards a translationally-independent RNA-based synthetic oscillator using deactivated CRISPR-Cas

In synthetic circuits, CRISPR-Cas systems have been used effectively for endpoint changes from an initial state to a final state, such as in logic gates. Here, we use deactivated Cas9 (dCas9) and deactivated Cas12a (dCas12a) to construct dynamic RNA ring oscillators that cycle continuously between states over time in bacterial cells. While our dCas9 circuits using 103-nucleotide guide RNAs showed irregular fluctuations with a wide distribution of peak-to-peak period lengths averaging ∼9 generations, a dCas12a oscillator design with 40-nucleotide CRISPR RNAs performed much better, having a strongly repressed off-state, distinct autocorrelation function peaks, and an average peak-to-peak period length of ∼7.5 generations. Along with free-running oscillator circuits, we measure repression response times in open-loop systems with inducible RNA steps to compare with oscillator period times. We track thousands of cells for 24+ hours at the single-cell level using a microfluidic device. In creating a circuit with nearly translationally-independent behavior, as the RNAs control each others’ transcription, we present the possibility for a synthetic oscillator generalizable across many organisms and readily linkable for transcriptional control.Competing Interest StatementThe authors have declared no competing interest.View Full Text

synthetic biology↗

bioRxiv2020

Identification of a common deletion in the spike protein of SARS-CoV-2

Two notable features have been identified in the SARS-CoV-2 genome: (1) the receptor binding domain of SARS-CoV-2; (2) a unique insertion of twelve nucleotide or four amino acids (PRRA) at the S1 and S2 boundary. For the first feature, the similar RBD identified in SARs-like virus from pangolin suggests the RBD in SARS-CoV-2 may already exist in animal host(s) before it transmitted into human. The left puzzle is the history and function of the insertion at S1/S2 boundary, which is uniquely identified in SARS-CoV-2. In this study, we identified two variants from the first Guangdong SARS-CoV-2 cell strain, with deletion mutations on polybasic cleavage site (PRRAR) and its flank sites. More extensive screening indicates the deletion at the flank sites of PRRAR could be detected in 3 of 68 clinical samples and half of 22 in vitro isolated viral strains. These data indicate (1) the deletion of QTQTN, at the flank of polybasic cleavage site, is likely benefit the SARS-CoV-2 replication or infection in vitro but under strong purification selection in vivo since it is rarely identified in clinical samples; (2) there could be a very efficient mechanism for deleting this region from viral genome as the variants losing 23585-23599 is commonly detected after two rounds of cell passage. The mechanistic explanation for this in vitro adaptation and in vivo purification processes (or reverse) that led to such genomic changes in SARS-CoV-2 requires further work. Nonetheless, this study has provided valuable clues to aid further investigation of spike protein function and virus evolution. The deletion mutation identified in vitro isolation should be also noted for current vaccine development.

genetics↗

bioRxiv2020

Excessive E2F transcription in single cancer cells precludes transient cell cycle exit after DNA damage.

E2F transcription factors control the expression of cell cycle genes. Cancers often demonstrate enhanced E2F target gene expression, which can be explained by increased percentages of replicating cells. However, we now demonstrate in human cancer biopsies that individual neoplastic cells display abnormally high levels of E2F-dependent transcription. To mimic this situation, we deleted the atypical E2F repressors (E2F7/8) in untransformed cells. Individual cells with elevated E2F-activity during S/G2-phase failed to exit the cell cycle after DNA damage and underwent mitosis. In contrast, wild type cells completed S-phase and then exit the cell cycle by activating the APC/CCdh1 via repression of the E2F-target Emi1. Strikingly, many arrested wildtype cells could eventually inactivate APC/CCdh1 to execute a second round of DNA replication and mitosis, thereby becoming tetraploid. Cells with elevated E2F-transcription fail to exit the cell cycle after DNA damage which potentially causes genomic instability, promotes malignant progression and reduces drug sensitivity.

cancer biology↗

bioRxiv2019

Juvenile hormone regulation on the flight capability of Bactrocera dorsalis (Diptera: Tephritidae)

The oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), is considered a major economic threat in many regions worldwide. In order to better understand the flight capacity of B. dorsalis and its physiological basis, the functions and regulatory roles of juvenile hormone (JH) in the flight muscle of B. dorsalis were studied under a controlled environment. JH titer of B. dorsalis varied with age and sex. Females, irrespective of age, have higher JH than males for ovarian development and maturation in addition to better flight capabilities. The flight duration and distance of both males and females increased with the gradual increase of JH titer after adult emergences. JH titer peaked in 15-d-old adult and declined subsequently with age. Flight activity stimulated the production of JH as adults flown for 24 hours on the flight mills have the highest JH titers compare to adults tethered on shorter flight durations. Furthermore, JH III-treated adults were able to perform long-duration and long-distance flights. The mutual reinforcement of JH and flight activity provides fundamental understanding on the physiological aspects of the flight capability and dispersal, which facilitates strategies for the long-term control of this destructive pest.

animal behavior and cognition↗