Biology subjects

Yan, C.

Publications and source records attributed to Yan, C..

At least 73 records · Page 4Linked to original sources

bioRxiv2023

RelB represses miR-193a-5p expression to promote the phenotypic transformation of vascular smooth muscle cells in aortic aneurysm

Aortic aneurysm (AA) is a potentially fatal disease with the possibility of rupture, causing high mortality rates with no effective drugs for the treatment of AA. The mechanism of AA, as well as its therapeutic potential to inhibit aneurysm expansion, has been minimally explored. Small non-coding RNA (miRNAs and miRs) is emerging as a new fundamental regulator of gene expression. This study aimed to explore the role and mechanism of miR-193a-5p in abdominal aortic aneurysms (AAA). In AAA vascular tissue and Angiotensin II (Ang II)-treated vascular smooth muscle cells (VSMCs), the expression of miR-193a-5 was determined using real-time quantitative PCR (RT-qPCR). Western blotting was used to detect the effects of miR-193a-5p on PCNA, CCND1, CCNE1, and CXCR4. To detect the effect of miR-193a-5p on the proliferation and migration of VSMCs, CCK-8, and EdU immunostaining, flow cytometry, wound healing, and Transwell Chamber analysis were performed. In vitro results suggest that overexpression of miR-193a-5p inhibited the proliferation and migration of VSMCs, and its inhibition aggravated their proliferation and migration. In VSMCs, miR-193a-5p mediated proliferation by regulating CCNE1 and CCND1 genes and migration by regulating CXCR4. Further, in the Ang II-induced abdominal aorta of mice, the expression of miR-193a-5p was reduced and significantly downregulated in the serum of patients with aortic aneurysm (AA). In vitro studies confirmed that Ang II-induced downregulation of miR-193a-5p in VSMCs by upregulation of the expression of the transcriptional repressor RelB in the promoter region. This study may provide new intervention targets for the prevention and treatment of AA.

cell biology↗

bioRxiv2023

CXCR2 expression during melanoma tumorigenesis controls transcriptional programs that facilitate tumor growth

BackgroundThough the CXCR2 chemokine receptor is known to play a key role in cancer growth and response to therapy, a direct link between expression of CXCR2 in tumor progenitor cells during induction of tumorigenesis has not been established. MethodsTo characterize the role of CXCR2 during melanoma tumorigenesis, we generated tamoxifen-inducible tyrosinase-promoter driven BrafV600E/Pten-/-/Cxcr2-/- and NRasQ61R/INK4a-/-/Cxcr2-/- melanoma models. In addition, the effects of a CXCR1/CXCR2 antagonist, SX-682, on melanoma tumorigenesis were evaluated in BrafV600E/Pten-/- and NRasQ61R/INK4a-/- mice and in melanoma cell lines. Potential mechanisms by which Cxcr2 affects melanoma tumorigenesis in these murine models were explored using RNAseq, mMCP-counter, ChIPseq, and qRT-PCR; flow cytometry, and reverse phosphoprotein analysis (RPPA). ResultsGenetic loss of Cxcr2 or pharmacological inhibition of CXCR1/CXCR2 during melanoma tumor induction resulted in key changes in gene expression that reduced tumor incidence/growth and increased anti-tumor immunity. Interestingly, after Cxcr2 ablation, Tfcp2l1, a key tumor suppressive transcription factor, was the only gene significantly induced with a log2 fold-change greater than 2 in these three different melanoma models. ConclusionsHere, we provide novel mechanistic insight revealing how loss of Cxcr2 expression/activity in melanoma tumor progenitor cells results in reduced tumor burden and creation of an anti-tumor immune microenvironment. This mechanism entails an increase in expression of the tumor suppressive transcription factor, Tfcp2l1, along with alteration in the expression of genes involved in growth regulation, tumor suppression, stemness, differentiation, and immune modulation. These gene expression changes are coincident with reduction in the activation of key growth regulatory pathways, including AKT and mTOR.

cancer biology↗

bioRxiv2023

A cleaved METTL3 potentiates the METTL3-WTAP interaction and breast cancer progression

N6-methyladenosine (m6A) methylation of RNA by the methyltransferase complex (MTC), with core components including METTL3-METTL14 heterodimers and Wilms tumor 1-associated protein (WTAP), contributes to breast tumorigenesis, but the underlying regulatory mechanisms remain elusive. Here, we identify a novel cleaved form METTL3a (residues 239-580 of METTL3). We find that METTL3a is required for the METTL3-WTAP interaction, RNA m6A deposition, as well as cancer cell proliferation. Mechanistically, we find that METTL3a is essential for the METTL3-METTL3 interaction, which is a prerequisite step for recruitment of WTAP in MTC. Analysis of m6A sequencing data shows that depletion of METTL3a globally disrupts m6A deposition, and METTL3a mediates mTOR activation via m6A-mediated suppression of TMEM127 expression. Moreover, we find that METTL3 cleavage is mediated by proteasome in an mTOR-dependent manner, revealing positive regulatory feedback between METTL3a and mTOR signaling. Our findings reveal METTL3a as an important component of MTC, and suggest the METTL3a-mTOR axis as a potential therapeutic target for breast cancer.

cell biology↗

bioRxiv2023

Protein language model embedded geometric graphs power inter-protein contact prediction

Accurate prediction of contacting residue pairs between interacting proteins is very useful for structural characterization of protein-protein interactions (PPIs). Although significant improvement has been made in inter-protein contact prediction recently, there is still large room for improving the prediction accuracy. Here we present a new deep learning method referred to as PLMGraph-Inter for inter-protein contact prediction. Specifically, we employ rotationally and translationally invariant geometric graphs obtained from structures of interacting proteins to integrate multiple protein language models, which are successively transformed by graph encoders formed by geometric vector perceptrons and residual networks formed by dimensional hybrid residual blocks to predict inter-protein contacts. Extensive evaluation on multiple test sets illustrates that PLMGraph-Inter outperforms five top inter-protein contact prediction methods, including DeepHomo, GLINTER, CDPred, DeepHomo2 and DRN-1D2D_Inter by large margins. In addition, we also show that the prediction of PLMGraph-Inter can complement the result of AlphaFold-Multimer. Finally, we show leveraging the contacts predicted by PLMGraph-Inter as constraints for protein-protein docking can dramatically improve its performance for protein complex structure prediction.

bioinformatics↗

bioRxiv2022

Conceptual associations generate sensory predictions

A crucial ability of the human brain is to learn and exploit probabilistic associations between stimuli to facilitate perception and behavior by predicting future events. While studies have shown how perceptual relationships are used to predict sensory inputs, relational knowledge is often between concepts rather than percepts (e.g., we learned to associate cats with dogs, rather than specific images of cats and dogs). Here we asked if and how sensory responses to visual input may be modulated by predictions derived from conceptual associations. To this end we exposed participants to arbitrary word-word pairs (e.g., car - dog) repeatedly, creating an expectation of the second word, conditional on the occurrence of the first. In a subsequent session, we exposed participants to novel word-picture pairs, while measuring fMRI BOLD responses. All word-picture pairs were equally likely, but half of the pairs conformed to the previously formed conceptual (word-word) associations, whereas the other half violated this association. Results showed suppressed sensory responses throughout the ventral visual stream, including early visual cortex, to pictures that corresponded to the previously expected words compared to unexpected words. This suggests that the learned conceptual associations were used to generate sensory predictions that modulated processing of the picture stimuli. Moreover, these modulations were tuning-specific, selectively suppressing neural populations tuned towards the expected input. Combined, our results suggest that recently acquired conceptual priors are generalized across domains and used by the sensory brain to generate feature specific predictions, facilitating processing of expected visual input.

neuroscience↗

bioRxiv2022

Improved inter-protein contact prediction using dimensional hybrid residual networks and protein language models

The knowledge of contacting residue pairs between interacting proteins is very useful for structural characterization of protein-protein interactions (PPIs). However, accurately identifying the tens of contacting ones from hundreds of thousands of inter-protein residue pairs is extremely challenging, and performances of the state-of-the-art inter-protein contact prediction methods are still quite limited. In this study, we developed a deep learning method for inter-protein contact prediction, referred to as DRN-1D2D_Inter. Specifically, we employed pretrained protein language models to generate structural information enriched input features to residual networks formed by dimensional hybrid residual blocks to perform inter-protein contact prediction. Extensively benchmarked DRN-1D2D_Inter on multiple datasets including both heteromeric PPIs and homomeric PPIs, we show DRN-1D2D_Inter consistently and significantly outperformed two state-of-the-art inter-protein contact prediction methods including GLINTER and DeepHomo, although both the latter two methods leveraged native structures of interacting proteins in the prediction, and DRN-1D2D_Inter made the prediction purely from sequences.

bioinformatics↗

bioRxiv2022

Evidence for the digital programming of cellular differentiation: characterization of binary switches in lineage-determining transcription factors

Previous studies of the murine Ly49 and human KIR gene clusters have revealed a role for bidirectional promoters in the control of variegated gene expression. Whether or not competing promoters control other instances of cell fate determination remains an outstanding question. Although divergent transcripts within 300 bp are found in ~6% of human genes, an analysis of human transcription factor (TF) genes (1640) revealed that 33% possess stable divergent transcripts with a transcription start site (TSS) less than 300 bp upstream, with many separated by less than 30 bp, indicating an enrichment for potential binary switches in TFs. We have performed a detailed examination of putative bidirectional promoter switches in three lineage-determining TF genes: AHR, GATA3, and ROR{gamma}T. These genes also contain additional pairs of opposing promoters that would prevent simultaneous transcription of sense and antisense, and thus may represent simple on/off switches rather than probabilistic switches. In situ RNA hybridization of human tissues revealed mutually exclusive expression of sense versus antisense transcription, indicating switching between stable sense or antisense transcriptional states. Single-cell RNAseq confirmed the separate sense/antisense states, and revealed the identity of cells with active switch elements. Differential gene expression analysis of cells with antisense switch transcripts revealed an enrichment for genes found in immature/stem cells and a lack of genes associated with terminally differentiated cells. Taken together, these data indicate that there is a digital component to the differentiation program mediated by binary promoter switches in lineage-determining transcription factors.

developmental biology↗

bioRxiv2022

Near-atomic Structure of the Cytoplasmic Ring of the Xenopus laevis Nuclear Pore Complex

The nuclear pore complex (NPC) mediates nucleocytoplasmic shuttling. Here we present single-particle cryo-EM structure of the cytoplasmic ring (CR) from the Xenopus laevis NPC at 4.1-4.7 [A] resolutions. The structure of an N-terminal domain of Nup358 was resolved at 3.0 [A], facilitating identification of five Nup358 molecules in each CR subunit. Aside from unveiling the assembly details of the two Y-shaped multicomponent complexes (Y complexes) in each CR subunit, the improved resolutions reveal the C-terminal fragment of Nup160 to be an organizing center at the vertex of each Y complex. Our structures show that the scaffold of a CR subunit comprises five Nup358, two Nup205 and two Nup93 molecules in addition to the previously characterized Y complexes. One-Sentence SummaryImproved resolutions of the cytoplasmic ring (CR) of the Xenopus laevis nuclear pore complex reveal that five Nup358 molecules, together with two copies of interweaved Nup205, Nup93 and Y complexes, constitute the scaffold of each CR subunit.

biophysics↗

bioRxiv2022

The lipid peroxidation product 4-hydroxynonenal inhibits NLRP3 inflammasome activation and macrophage pyroptosis

Pyroptosis is a form of cell death triggered by the innate immune system that has been implicated in the pathogenesis of sepsis and acute lung injury. At the cellular level, pyroptosis is characterized by cell swelling, membrane rupture, and release of inflammatory cytokines, such as IL-1{beta}. However, the role of endogenous lipids in pyroptosis remains underappreciated. We discovered that 4-hydroxynonenal (HNE), a major endogenous product of lipid peroxidation, inhibited pyroptosis and inflammasome activation. HNE at physiological concentrations (3 {micro}M) blocked nigericin and ATP-induced cell death, as well as secretion of IL-1{beta}, by mouse primary macrophages and human peripheral blood mononuclear cells. Treatment with HNE, or an increase of endogenous HNE by inhibiting glutathione peroxidase 4, reduced inflammasome activation in mouse models of acute lung injury and sepsis. Mechanistically, HNE inhibited the NLRP3 inflammasome activation independently of Nrf2 and NF-{kappa}B signaling, and had no effect on the AIM2 inflammasome. Furthermore, HNE directly bound to NLRP3 and inhibited its interaction with NEK7. Our findings identify HNE as a novel, endogenous inhibitor of the NLRP3 inflammasome.

immunology↗

bioRxiv2022

Proteomic Dissection of a Giant Cell

Many individual proteins have been identified as having defined positions relative to cell polarity axes, raising the question of what fraction of all proteins may have polarized localizations. We took advantage of the giant ciliate Stentor coeruleus to quantify the extent of polarized localization proteome-wide. This trumpet-shaped unicellular organism shows a clear morphological anterior-posterior axis defined by a circular array of cilia known as a membranellar band at one end, and a holdfast at the other end. Because individual Stentor cells are over a millimeter in length, we were able to cut the cells into three pieces along the anterior-posterior axis, followed by proteomic analysis of proteins enriched in each piece. We find that approximately 30% of all detected proteins show a polarized location relative to the anterior-posterior cell axis. Proteins with polarized enrichment include centrin-like proteins, calcium-regulated kinases, orthologs of SFI1 and GAS2, and proteases. At the organelle level, nuclear and mitochondrial proteins are enriched in the anterior half of the cell body, but not in the membranellar band itself, while ribosome related proteins are apparently uniformly distributed. RNAi of signaling proteins enriched in the membranellar band, which is the anterior-most structure in the cell, revealed a protein phosphatase 2 subunit b ortholog required for closure of the membranellar band into the ring shape characteristic of Stentor. These results suggest that a large fraction of the Stentor proteome has a polarized localization, and provide a protein-level framework for future analysis of pattern formation and regeneration in Stentor as well as defining a general strategy for subcellular spatial proteomics based on physical dissection of cells.

cell biology↗

bioRxiv2021

Protein Complex Structure Prediction Powered by Multiple Sequence Alignment of Interologs from Multiple Taxonomic Ranks and AlphaFold2

AlphaFold2 is expected to be able to predict protein complex structures as long as a multiple sequence alignment (MSA) of the interologs of the target protein-protein interaction (PPI) can be provided. In this study, a simplified phylogeny-based approach was applied to generate the MSA of interologs, which was then used as the input to AlphaFold2 for protein complex structure prediction. Extensively benchmarked this protocol on non-redundant PPI dataset including 107 bacterial PPIs and 442 eukaryotic PPIs, we show complex structures of 79.5% of the bacterial PPIs and 49.8% of the eukaryotic PPIs can be successfully predicted, which yielded significantly better performance than the application of MSA of interologs prepared by two existing approaches. Considering PPIs may not be conserved in species with long evolutionary distances, we further restricted interologs in the MSA to different taxonomic ranks of the species of the target PPI in protein complex structure prediction. We found the success rates can be increased to 87.9% for the bacterial PPIs and 56.3% for the eukaryotic PPIs if interologs in the MSA are restricted to a specific taxonomic rank of the species of each target PPI. Finally, we show the optimal taxonomic ranks for protein complex structure prediction can be selected with the application of the predicted TM-scores of the output models.

bioinformatics↗

bioRxiv2021

Optimizing a High Performing Multiplex-CRISPRi P. putida strain with Integrated Metabolomics and 13C-Metabolic Flux Analyses

Microbial cell factory development often faces bottlenecks after initial rounds of design-build-test-learn (DBTL) cycles as engineered producers respond unpredictably to further genetic modifications. Thus, deciphering metabolic flux and correcting bottlenecks are key components of DBTL cycles. Here, a 14-gene edited Pseudomonas putida KT2440 strain for heterologous indigoidine production was examined using both 13C-metabolic flux analysis (13C-MFA) and metabolite measurements. The results indicated the conservation of the cyclic Entner-Doudoroff (ED)-EMP pathway flux, downregulation of the TCA cycle and pyruvate shunt, and glyoxylate shunt activation. At the metabolite level, the CRISPR/dCpf1-interference mediated multiplex repression decreased gluconate/2-ketogluconate secretion and altered several intracellular TCA metabolite concentrations, leading to succinate overflow. Further strain engineering based on the metabolic knowledge first employed an optimal ribosome binding site (RBS) to achieve stronger product-substrate growth coupling (1.6-fold increase). Then, deletion strains were constructed using ssDNA recombineering. Of the five strains tested, deletion of the PHA operon ({Delta}phaAZC-IID) resulted in a 2.2-fold increase in growth phase production compared to the optimal RBS construct. After 72 h of batch cultivation, the {Delta}phaAZC-IID strain had 1.5-fold and 1.8-fold increases of indigoidine titer compared to the improved RBS construct and the original strain, respectively. Overall, the findings provided actionable DBTL targets as well as insights into physiological responses and flux buffering when new recombineering tools were used for engineering P. putida KT2440.

synthetic biology↗

bioRxiv2021

Categorical working memory codes in human visual cortex

Working memory contents are represented in neural activity patterns across multiple regions of the cortical hierarchy. It has remained unclear to which degree this reflects a specialization for different levels of abstraction. Here, we demonstrate that for color stimuli categorical codes are already present at the level of extrastriate visual cortex (V4 and VO1). Interestingly, this categorical coding was observed during working memory, but not during perception.

neuroscience↗

bioRxiv2021

Cryo-EM structure of the Inner Ring from Xenopus laevis Nuclear Pore Complex

Nuclear pore complex (NPC) mediates nucleocytoplasmic shuttling. Here we present single-particle cryo-electron microscopy (cryo-EM) structure of the inner ring (IR) subunit from Xenopus laevis NPC at an average resolution of 4.4 [A]. The symmetric IR subunit comprises a cytoplasmic half and a nuclear half. A homo-dimer of Nup205 resides at the center of the IR subunit, flanked by two molecules of Nup188. Four molecules of Nup93 each places an extended helix into the axial groove of Nup205 or Nup188, together constituting the central scaffold. The channel nucleoporin heterotrimer (CNT) of Nup54/58/62 is anchored on the central scaffold. Six Nup155 molecules interact with the central scaffold and together with the NDC1-ALADIN hetero-dimers anchor the IR subunit to the nuclear envelope and to outer rings. The scarce inter-subunit contacts may allow sufficient latitude in conformation and diameter of the IR. Our structure of vertebrate IR reveals key insights that are functionally important.

biophysics↗

bioRxiv2021

A new prognostic model for pancreatic cancer based on pyroptosis-related genes

Pancreatic cancer is one of the most common malignant tumors of the digestive tract. It is known as the "king of cancer" in the field of cancer, and is one of the worst prognosis malignant tumors. Pyroptosis is a kind of programmed cell death, which can promote the inflammatory response of cells. Studies have shown that the effect of pyroptosis-related genes in cancer is significant. However, the role of pyroptosis in pancreatic cancer is not clear. The aim of this study is to establish a prognostic model based on pyroptosis. The gene expression and clinical data of pancreatic cancer patients were obtained from TCGA and verified in GEO. The differential expression of 33 pyroptosis-related genes in pancreatic cancer and normal tissues was analyzed, of which 6 genes were up-regulated and 12 genes were down regulated. Then, it was analyzed that pyroptosis-related genes were mainly enriched in the defense against bacteria and pyroptosis pathways. A concise and reliable model is established by lasso-cox regression analysis. Km curve shows that there are differences between high-risk group and low-risk group. And the nomogram has reliable prediction ability. In conclusion, pyroptosis an important role in pancreatic cancer, which can be used for the prediction of pancreatic cancer and provide a new perspective for the treatment of pancreatic cancer. AUTHOR APPROVALSThe authors have seen and approved the manuscript, and that it hasnt been accepted or published elsewhere. COMPETING INTERESTSThe authors declare no competing interests.

molecular biology↗

bioRxiv2021

Evaluating test-retest reliability and sex/age-related effects on temporal clustering coefficient of dynamic functional brain networks

The multilayer dynamic network model has been proposed as an effective method to understand how the brain functions dynamically. Specially, derived from the definition of clustering coefficient in static networks, the temporal clustering coefficient provides a direct measure of topological stability of dynamic brain networks and shows potential in predicting altered brain functions in both normal and pathological conditions. However, test-retest reliability and demographic-related effects on this measure remain to be evaluated. Using a publicly available dataset from the Human Connectome Project consisting of 337 young healthy adults (157 males/180 females; 22 to 37 years old), the present study investigated: (1) the test-retest reliability of temporal clustering coefficient across four repeated resting-state functional magnetic resonance imaging scans as measured by intraclass correlation coefficient (ICC); and (2) sex- and age-related effects on temporal clustering coefficient. The results showed that (1) the temporal clustering coefficient had overall moderate test-retest reliability (ICC > 0.40 over a wide range of densities) at both global and subnetwork levels; (2) female subjects showed significantly higher temporal clustering coefficient than males at both global and subnetwork levels, in particular within the default-mode and subcortical regions; (3) temporal clustering coefficient of the subcortical subnetwork was negatively correlated with age in young adults. Our findings suggest that temporal clustering coefficient is a reliable and reproducible approach for the identification of individual differences in brain function, and provide evidence for sex and age effects on human brain dynamic connectome.

neuroscience↗

bioRxiv2021

The framework of plant regeneration in duckweed (Lemna turonifera) comprises genetic transcript regulation and cyclohexane release

Regeneration is important for vegetative propagation of excellent variety, detoxification and the obtain of transgenic plant, but plant regeneration is time-consuming. Here, we found that duckweed regeneration could be enhanced by regenerating callus. Firstly, Genetic transcript regulation has been applied to study the molecular mechanism controlling regeneration. Auxin related genes have been significantly down-regulated in regenerating callus. Cytokinin signal pathway genes have been up-regulated in regenerating callus. Secondly, volatile organic compounds release has been analysised by gas chromatography/mass spectrum during the stage of plant regeneration, and 11 kinds of unique volatile organic compounds in the regenerating callus were increased. Among them, cyclohexane treatment enhanced duckweed regeneration by initiating root. Moreover, Auxin signal pathway genes were down-regulated in callus treated by cyclohexane. All together, these results provide novel mechanistic insights into how regenerating callus promotes duckweed regeneration. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/453434v1_ufig1.gif" ALT="Figure 1"> View larger version (58K): org.highwire.dtl.DTLVardef@1c28166org.highwire.dtl.DTLVardef@bd86cforg.highwire.dtl.DTLVardef@dd9802org.highwire.dtl.DTLVardef@26ba1c_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗

bioRxiv2021

Detection of pigeon circoviruses in ticks of sheep and camels in Inner Mongolia, China

Circovirus is one of the smallest known DNA viruses infecting animals. In this report, circovirus was detected in two tick species- Hyalomma asiaticum and Dermacentor nuttalli collected from sheep and camels in Inner Mongolia, China by high-throughput sequencing. The reverse semi-nested PCR assay revealed a complete genomic sequence of 2042 base pairs of cyclic single-stranded DNA (ssDNA). Evolutionary analysis further revealed that it belonged to circovirus with two major open read frames (ORFs) that putatively encode replicase and capsid proteins, respectively. Sequence and phylogenetic analysis suggested that the circovirus belonged to pigeon circovirus. The results demonstrated the presence of pigeon circovirus in ticks in Inner Mongolia, which provide the basis for future exploration of the prevalence of pigeon circovirus in Inner Mongolia and the pathogens carried by ticks in Inner Mongolia.

microbiology↗