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Yuan, Y.

Publications and source records attributed to Yuan, Y..

At least 19 recordsLinked to original sources

Attenuated Salmonella-Mediated Delivery of GSDMD Potentiates PD-1 Blockade Therapy against Melanoma

Immunotherapy has emerged as a core therapeutic strategy for melanoma. Programmed death protein 1 (PD-1) is a critical immune checkpoint molecule that restrains host anti-tumor immunity, and therapeutic agents blocking the PD-1 signaling pathway have been widely deployed in clinical practice. Nevertheless, single-agent PD-1 blockade fails to elicit robust clinical responses in the majority of patients. Therefore, there is an urgent unmet need to develop combinatorial regimens capable of augmenting the anti-tumor efficacy of PD-1 inhibition. Gasdermin D (GSDMD), a pore-forming effector protein that orchestrates pyroptosis, exerts inherent anti-tumor activities upon overexpression. However, whether GSDMD can synergize with PD-1 blockade to enhance therapeutic outcomes against melanoma remains poorly defined. To address this question, we established an attenuated Salmonella engineered strain for targeted delivery of GSDMD, and further investigated the anti-melanoma therapeutic efficacy of combining this engineered bacterium with anti-PD-1 antibody via immunofluorescence staining, flow cytometry and other analytical approaches. Our in vivo results demonstrated that combinatorial treatment markedly suppressed melanoma progression in tumor-bearing mice relative to monotherapy with either GSDMD-expressing bacteria or anti-PD-1 antibody alone. Mechanistically, co-treatment upregulated intratumoral expression of GSDMD and the pro-apoptotic protein BAX, while simultaneously downregulating PD-1 expression. In addition, the GSDMD/anti-PD-1 combination significantly elevated the proportions of CD4 and CD8 T lymphocytes in both peripheral blood and splenic tissues, and facilitated robust tumor infiltration by these two T cell subsets. Compared with phosphate-buffered saline (PBS) and scramble control groups, combinatorial therapy promoted tumor infiltration of M1-type tumor-associated macrophages (TAMs) and repolarized TAMs away from the immunosuppressive M2 phenotype. Consistently, serum levels of the pro-inflammatory cytokines TNF- and IFN-{gamma} were markedly elevated following combined intervention. Collectively, this study verifies that attenuated Salmonella carrying GSDMD synergizes with anti-PD-1 antibody to elicit potent anti-tumor effects in melanoma-bearing mice by amplifying systemic and intratumoral anti-tumor immune responses, which provides a preclinical rationale for novel combinatorial therapeutic strategies against melanoma.

cancer biology

CNNC: Convolutional Neural Networks for Co-Expression Analysis

Several methods were developed to mine gene-gene relationships from expression data. Examples include correlation and mutual information methods for co-expression analysis, clustering and undirected graphical models for functional assignments and directed graphical models for pathway reconstruction. Using a novel encoding for gene expression data, followed by deep neural networks analysis, we present a framework that can successfully address all these diverse tasks. We show that our method, CNNC, improves upon prior methods in tasks ranging from predicting transcription factor targets to identifying disease related genes to causality inference. CNNCs encoding provides insights about some of the decisions it makes and their biological basis. CNNC is flexible and can easily be extended to integrate additional types of genomics data leading to further improvements in its performance.\n\nSupporting website with software and data: https://github.com/xiaoyeye/CNNC.

systems biology

Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity

Integrative analysis of multi-omics layers at single cell level is critical for accurate dissection of cell-to-cell variation within certain cell populations. Here we report scCAT-seq, a technique for simultaneously assaying chromatin accessibility and the transcriptome within the same single cell. We show that the combined single cell signatures enable accurate construction of regulatory relationships between cis-regulatory elements and the target genes at single-cell resolution, providing a new dimension of features that helps direct discovery of regulatory patterns specific to distinct cell identities. Moreover, we generated the first single cell integrated maps of chromatin accessibility and transcriptome in human pre-implantation embryos and demonstrated the robustness of scCAT-seq in the precise dissection of master transcription factors in cells of distinct states during embryo development. The ability to obtain these two layers of omics data will help provide more accurate definitions of \"single cell state\" and enable the deconvolution of regulatory heterogeneity from complex cell populations.

genomics

Molecular Detection of H.pylori Antibiotic-Resistant Genes and Bioinformatics Predictive Analysis

To explore the mutation characteristics of H.pylori resistance-related genes to antibiotics of clarithromycin, levofloxacin and metronidazole. 23S rRNA, gyrA, gyrB, rdxA and frxA genes were amplified and sequenced, respectively. Their structural alteration after mutation was predicted using bioinformatics software. In the clarithromycin-resistant strains, the mutation rate in site A2143G was 74.2% (n=23). The mutations in sites C1883T, C2131T and T2179G might cause structural alteration. In the levofloxacin-resistant strains, the mutation rates in 87 (N to K/I) and 91 (D to N/Y/G) of gyrA were 28.6% (n=16) and 12.5% (n =7), respectively. Meanwhile, one of the mutation strains in site 91 was accompanied by D99N variation. Additionally, a D143E mutation was found in one drug-resistant strain. Some changes of tertiary structure occurred after these mutations. The mutation types of RdxA protein consisted of protein truncation caused by premature stop codons (n=26, 33.3%), frameshift mutations (n=8, 10.3%), FMN-binding sites (n=16, 20.5%) and the others (n=11, 14.1%). Predictive analysis showed that mutations in the first three groups and the A118S of the last group could lead to structural alteration. Our study suggested the clarithromycin-resistant sites of H.pylori were mainly located in A2143G of 23S rRNA. C1883T, C2131T and T2179G might also be related to resistance. Levofloxacin resistance was mainly based on the amino acid changes in 87 and 91 sites of gyrA. The new sites D99N and D143E might also be associated with resistance. Metronidazole resistance was related to RdxA protein truncation, frameshift, and FMN binding. The new site A118S might also be linked to drug resistance.

microbiology

Whole-genome deep learning analysis reveals causal role of noncoding mutations in autism

We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts specific regulatory effects and deleterious disease impact of genetic variants. Applying this framework to 1,790 Autism Spectrum Disorder (ASD) simplex families reveals autism disease causality of noncoding mutations by demonstrating that ASD probands harbor transcriptional (TRDs) and post-transcriptional (RRDs) regulation-disrupting mutations of significantly higher functional impact than unaffected siblings. Importantly, we detect this significant noncoding contribution at each level, transcriptional and post-transcriptional, independently and after multiple hypothesis correction. Further analysis suggests involvement of noncoding mutations in synaptic transmission and neuronal development, and reveals a convergent genetic landscape of coding and noncoding (TRD and RRD) de novo mutations in ASD. We demonstrate that sequences carrying prioritized proband de novo mutations possess transcriptional regulatory activity and drive expression differentially, and highlight a link between noncoding mutations and IQ heterogeneity in ASD probands. Our predictive genomics framework illuminates the role of noncoding mutations in ASD, prioritizes high impact transcriptional and post-transcriptional regulatory mutations for further study, and is broadly applicable to complex human diseases.

genomics

Identification of Polynucleotide Phosphorylase (PNPase) in Escherichia coli Involved in Persister Formation

Despite the identification of many genes and pathways involved in the persistence phenomenon of bacteria, the mechanisms of persistence are not well understood. Here, using Escherichia coli as a model, we identified polynucleotide phosphorylase (PNPase) as a key regulator in persister formation. We successfully constructed pnp knockout mutant strain and its complemented strain, and exposed the pnp knockout mutant and complemented strain to antibiotics and stress conditions. The results showed that, compared with the wild-type W3110, the pnp knockout strain had defect in persistence to antibiotics and stress conditions, and the persistence to antibiotics and stresses was restored upon complementation. RNA-Seq was performed to identify the transcriptome profile in the pnp knockout strain compared with wild-type strain W3110, and the data revealed that 242 (166 up-regulated, and 76 down-regulated) genes were differentially expressed in the pnp knockout mutant strain. KEGG pathway analysis of the up-regulated genes showed that they were mostly mapped to metabolism and virulence pathways, most of which are positively regulated by the global regulator cyclic AMP receptor protein (CRP). Similarly, the transcription level of the crp gene in the pnp-deletion strain increased 3.22-fold in the early stationary phase. We further explored the indicators of cellular metabolism of the pnp-deletion strain, the persistence phenotype of the pnp and crp double-deletion mutant, and the transcriptional activity of crp gene. Our results indicate that PNPase controls cellular metabolism by negatively regulating the crp operon at the post-transcriptional level by targeting the 5- Untranslated Region (UTR) of the crp transcript. This study offers new insight about the persister mechanisms and provides new targets for development of new drugs against persisters for more effective treatment of persistent bacterial infections.

microbiology

Regulation by competition: a hidden layer of gene regulatory network

Molecular competition is ubiquitous, essential and multifunctional throughout diverse biological processes. Competition brings about trade-offs of shared limited resources among the cellular components, and it thus introduce a hidden layer of regulatory mechanism by connecting components even without direct physical interactions. By abstracting the analogous competition mechanism behind diverse molecular systems, we built a unified coarse-grained competition motif model to systematically compare experimental evidences in these processes and analyzed general properties shared behind them. We could predict in what molecular environments competition would reveal threshold behavior or display a negative linear dependence. We quantified how competition can shape regulator-target dose-response curve, modulate dynamic response speed, control target expression noise, and introduce correlated fluctuations between targets. This work uncovered the complexity and generality of molecular competition effect, which might act as a hidden regulatory mechanism with multiple functions throughout biological networks in both natural and synthetic systems.

systems biology

SlARF10, an auxin response factor, is required for chlorophyll and sugar accumulation during tomato fruit development

Tomato green fruits photosynthesis contributes to fruit growth and carbon economy. Tomato auxin response factor 10 (SlARF10) is one of the members of ARF family. Our results showed that SlARF10 locates in the nucleus and has no transcriptional activity. SlARF10 was expressed in various tomato tissues, but highly expressed in green fruit. Up-regulation of SlARF10 produced dark green phenotype of fruits, whereas down-regulation of SlARF10 had light green phenotype. Autofluorescence and chlorophyll content analysis confirmed the phenotypes, which indicated that SlARF10 plays an important role in chlorophyll accumulation in tomato fruits. Up-regulation of SlARF10 increased the photochemical potential in tomato leaves and fruits. Furthermore, the SlARF10 up-regulating lines displayed improved accumulation of starch in fruits, whereas SlARF10 suppressed lines had inhibited starch accumulation. Up-regulation of SlARF10 increased the expression of AGPases, the starch biosynthesis genes. SlARF10 up-regulating lines had increased accumulation of SlGLK1 and SlGLK2 transcripts in fruits. The promoter sequence of SlGLK1 gene had two conserved ARF binding sites. SlARF10 may regulate the expression of SlGLK1, thus controlling chlorophyll accumulation, photosynthesis rates and sugars synthesis in fruits. Our study provided more insight on the link between auxin signaling, chloroplastic activity and sugar metabolism during the development of tomato fruits.\n\nAbbreviations\n\nHighlightSlARF10 played an important role in the chlorophyll accumulation and photosynthesis in tomato fruits. SlARF10 was involved in starch accumulation by controlling the expression of starch synthesis related enzyme genes. SlARF10 may regulate the expression of SlGLK1, thus controlling chlorophyll accumulation, photosynthesis rates and sugars synthesis in tomato fruits.

plant biology

Differential 3’ Processing of Specific Transcripts Expands Regulatory and Protein Diversity Across Neuronal Cell Types

Alternative polyadenylation (APA) regulates mRNA translation, stability, and protein localization. However, it is unclear to what extent APA regulates these processes uniquely in specific cell types. Using a new technique, cTag-PAPERCLIP, we discovered significant differences in APA between the principal types of mouse cerebellar neurons, the Purkinje and granule cells, as well as between proliferating and differentiated granule cells. Transcripts that differed in APA in these comparisons were enriched in key neuronal functions and many differed in coding sequence in addition to 3UTR length. We characterize Memo1, a transcript that shifted from expressing a short 3UTR isoform to a longer one during granule cell differentiation. We show that Memo1 regulates granule cell precursor proliferation and that its long 3UTR isoform is targeted by miR-124, contributing to its downregulation during development. Our findings provide insight into roles for APA in specific cell types and establish a platform for further functional studies.

neuroscience

Arabidopsis HB52 mediates the crosstalk between ethylene and auxin signaling pathways by regulating PIN2, WAG1, and WAG2 during primary root elongation

The gaseous hormone ethylene participates in many physiological processes of plants. It is well known that ethylene-inhibited root elongation involves basipetal auxin delivery requiring PIN2. However, the molecular mechanism how ethylene regulates PIN2 is not well understood. Here, we report that the ethylene-responsive HD-Zip gene HB52 is involved in ethylene-mediated inhibition of primary root elongation. Using biochemical and genetic analyses, we demonstrated that HB52 is ethylene-responsive and acts immediately downstream of EIN3. HB52 knock-down mutants are insensitive to ethylene in primary root elongation while the overexpression lines have dramatically shortened roots like ethylene treated plants. Moreover, HB52 upregulates PIN2, WAG1, and WAG2 by directly binding to their promoter, leading to an enhanced basipetal auxin delivery to the elongation zone and thus inhibiting root growth. Our work uncovers HB52 as an important crosstalk node between ethylene signaling and auxin transport in root elongation.

plant biology

Oncogenic role of sFRP2 in P53-mutant osteosarcoma development via autocrine and paracrine mechanism

Osteosarcoma (OS), the most common primary bone tumor, is highly metastatic with high chemotherapeutic resistance and poor survival rates. Using induced pluripotent stem cells (iPSCs) generated from Li-Fraumeni syndrome (LFS) patients, we investigated an oncogenic role of secreted frizzled-related protein 2 (sFRP2) in P53 mutation-associated OS development. Interestingly, we found that high sFRP2 expression in OS patient samples correlates with poor survival. Systems-level analyses identified that expression of sFRP2 increases during LFS OS development and can induce angiogenesis. Ectopic sFRP2 overexpression in normal osteoblast precursors is sufficient to suppress normal osteoblast differentiation and to promote OS phenotypes through induction of oncogenic molecules such as FOXM1 and CYR61 in a {beta}-catenin independent manner. Conversely, inhibition of sFRP2, FOXM1 or CYR61 represses the tumorigenic potential. In summary, these findings demonstrate the oncogenic role of sFRP2 in P53 mutation-associated OS development and that inhibition of sFRP2 is a potential therapeutic strategy.

cancer biology

Neuron-specific cTag-CLIP reveals cell-specific diversity of functional RNA regulation in the brain

RNA-binding proteins (RBPs) regulate genetic diversity, but the degree to which they do so in individual cell-types in vivo is unknown. We employed NOVA2 cTag-CLIP to generate functional RBP-RNA maps from single neuronal populations in the mouse brain. Combining cell-type specific data from Nova2-cTag and Nova2 conditional knock-out mice revealed differential NOVA2 regulatory actions (e.g. alternative splicing) on the same transcripts in different neurons, including in cerebellar Purkinje cells, where NOVA2 acts as an essential factor for proper motor coordination and synapse formation. This also led to the discovery of a mechanism by which NOVA2 action leads to different outcomes in different cells on the same transcripts: NOVA2 is able to regulate retained introns, which subsequently serve as scaffolds for another trans-acting splicing factor, PTBP2. Our results describe differential roles and mechanisms by which RBPs mediate RNA diversity in different neurons and consequent functional outcomes within the brain.

neuroscience

Cell type-specific CLIP reveals that NOVA regulates cytoskeleton interactions in motoneurons

BackgroundAlternative RNA processing plays an essential role in shaping cell identity and connectivity in the central nervous system (CNS). This is believed to involve differential regulation of RNA processing in various cell types. However, in vivo study of cell-type specific post-transcriptional regulation has been a challenge. Here, we developed a sensitive and stringent method combining genetics and CLIP (crosslinking and immunoprecipitation) to globally identify regulatory interactions between NOVA and RNA in the mouse spinal cord motoneurons (MNs).\n\nResultsWe developed a means of undertaking MN-specific CLIP to explore MN-specific protein-RNA interactions relative to studies of the whole spinal cord. This allowed us to pinpoint differential RNA regulation specific to MNs, revealing major role for NOVA in regulating cytoskeleton interactions in MNs. In particular, NOVA specifically promotes the palmitoylated isoform of a cytoskeleton protein Septin 8 in MNs, which enhances dendritic arborization.\n\nConclusionsOur study demonstrates that cell type-specific RNA regulation is important for fine-tuning motoneuron physiology, and highlights the value of defining RNA processing regulation at single cell type resolution.

neuroscience

Large-scale structural variation detection in subterranean clover subtypes using optical mapping validated at nucleotide level

Whole genome sequencing has been widely used to detect structural variations (SVs). However, the limited single molecule size makes it difficult to characterize large-scale SVs in a genome because they cannot fully cover such vast and complex regions. Recently, optical mapping in nanochannels has provided novel resolution to detect large-scale SVs by comparing the physical location of the nickase recognition sequence in genomes. Other than in humans, SVs discovered in plants by optical mapping have not been validated. To assess the accuracy of SV calling in plants by optical mapping, we selected two genetically diverse subspecies of the Trifolium model species, subterranean clover cvs. Daliak and Yarloop. The SVs discovered by BioNano optical mapping (BOM) were validated using Illumina short reads. In the analysis, BOM identified 12 large-scale regions containing deletions and 19 containing insertions in Yarloop. The 12 large-scale regions contained 71 small deletions when validated by Illumina short reads. The results suggest that BOM could detect the total size of deletions and insertions, but it could not precisely report the location and actual quantity of SVs in the genome. Nucleotide-level validation is crucial to confirm and characterize SVs reported by optical mapping. The accuracy of SV detection by BOM is highly dependent on the quality of reference genomes and the density of selected nickases.

bioinformatics

The interface of malignant and immunologic clonal dynamics in high-grade serous ovarian cancer

High-grade serous ovarian cancer exhibits extensive intratumoral heterogeneity coupled with widespread intraperitoneal disease. Despite this, metastatic spread of tumor clones is non-random, implying the existence of local microenvironmental factors that shape tumor progression. We interrogated the molecular interface between tumor-infiltrating lymphocytes (TIL) and cancer cells in 143 samples from 21 patients using whole-genome sequencing, immunohistochemistry, histologic image analysis, gene expression profiling, and T- and B-cell receptor sequencing. We identify 3 immunologic response categories, which frequently co-exist within individual patients. Furthermore, epithelial CD8+ TIL were inversely associated with malignant cell diversity, evidenced by subclonal neoepitope elimination and spatial tracking between tumor and T-cell clones. Intersecting mutational signatures and immune analysis showed that foldback inversion genomic aberrations lead to worse outcomes even in the presence of cytotoxic TIL (n=433). Thus, regional variation in immune contexture mirrors the pattern of intraperitoneal malignant spread, provoking new perspectives for treatment of this challenging disease.

cancer biology

Protective effect of estrogen against intervertebral disc degeneration is attenuated by miR-221 through targeting estrogen receptor

Intervertebral disc degeneration (IDD) is a multifactorial disease that associates apoptosis, senescence and calcification of cartilage cells, inflammatory response and alterations in the extracellular matrix. Previous documents imply that estrogen and miR-221 may be involved in IDD. This study further investigated their regulatory mechanisms underlying IDD. Normal and degenerated cartilaginous endplates (CEP) tissues were isolated surgically from juvenile patients with idiopathic scoliosis and adult patients with IDD, respectively. PCR and western blot assays showed decreased aggrecan, Col2A1, TGF-{beta} and estrogen receptor (ER) levels in CEP, but increased MMP-3, adamts-5, IL-1{beta}, TNF-, IL-6 and miR-221 levels. CEP cells were harvested from degenerated CEP tissues and treated with doses of 17{beta}-E2. 17{beta}-E2 increased expression of aggrecan and Col2A1 levels in endplate chondrocytes and secretion of TGF-{beta}, but decreased IL-6 secretion. Moreover, 17{beta}-E2 inhibited the apoptosis and cell-cycle arrest in G0/G1, improving the cell viability. These data indicated estrogen confers protective effect against IDD. However, we found that ER was a target of miR-221 via luciferase assay. miR-221 up-regulation via the mimics or ER knockdown attenuated these protective effects conferred by estrogen, while intervention of miR-221 via the inhibitors promoted the protective effects. This study provided novel evidence that estrogen confers protective effects of CEP against IDD, however, up-regulated miR-221 in degenerated CEP decreased the protective effects via targeting ER, thus it may be an important cause for IDD.

cell biology

Comprehensive Molecular Characterization of Mitochondrial Genomes in Human Cancers

Mitochondria are essential cellular organelles that play critical roles in cancer development. Through International Cancer Genome Consortium, we performed a multidimensional characterization of mitochondrial genomes using the whole-genome sequencing data of ~2,700 patients across 37 cancer types and related RNA-sequencing data. Our analysis presents the most definitive mutational landscape of mitochondrial genomes including a novel hypermutated case. We observe similar mutational signatures across cancer types, suggesting powerful endogenous mutational processes in mitochondria. Truncating mutations are remarkably enriched in kidney, colorectal and thyroid cancers and associated with the activation of critical signaling pathways. We find frequent somatic nuclear transfers of mitochondrial DNA (especially in skin and lung cancers), some of which disrupt therapeutic target genes (e.g., ERBB2). The mitochondrial DNA copy number shows great variations within and across cancers and correlates with clinical variables. Co-expression analysis highlights the function of mitochondrial genes in oxidative phosphorylation, DNA repair, and cell cycle; and reveals their connections with clinically actionable genes. Our study, including an open-access data portal, lays a foundation for understanding the interplays between the cancer mitochondrial and nuclear genomes and translating mitochondrial biology into clinical applications.

genomics

Early urinary candidate biomarker discovery in a rat thioacetamide-induced liver fibrosis model

Biomarker is the change associated with the disease. Blood is relatively stable because of the homeostatic mechanisms of the body. However, urine accumulates changes of the body, which makes it a better early biomarker source. Liver fibrosis, which results from the deposition of extracellular matrix (ECM) components, is a reversible pathological condition, whereas cirrhosis, the end-stage of liver fibrosis, is irreversible. Consequently, noninvasive early biomarkers for fibrosis are desperately needed. In this study, differential urinary proteins were identified in the thioacetamide (TAA) liver fibrosis rat model using tandem mass tagging and two-dimensional liquid chromatography tandem mass spectrometry (2DLC-MS/MS). A total of 766 urinary proteins were identified, 143 and 118 of which were significantly changed in the TAA 1-week and 3-week groups, respectively. Multiple reaction monitoring (MRM)-targeted proteomics was used to further validate the abundant differentially expressed proteins in the TAA 1-week, 3-week, 6-week and 8-week groups. A total of 40 urinary proteins were statistically significant (fold change >2 and p<0.05), 15 of which had been previously reported as biomarkers of liver fibrosis, cirrhosis or other related diseases and 10 of which had been reported to be associated with the pathology and mechanism of liver fibrosis. These differential proteins were detected in urine before the alanine aminotransferase (ALT) and aspartate transaminase (AST) changes in the serum and before fibrosis was observed upon hematoxylin and eosin (HE) and Massons staining.

molecular biology