Hub Proteins Research Articles

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction

The evaluation of drug-gene-disease interactions is key for the identification of drugs effective against disease. However, at present, drugs that are effective against genes that are critical for disease are difficult to identify. Following a disease-centric approach, there is a need to identify genes critical to disease function and find drugs that are effective against them. By contrast, following a drug-centric approach comprises identifying the genes targeted by drugs, and then the diseases in which the identified genes are critical. Both of these processes are complex. Using a gene-centric approach, whereby we identify genes that are effective against the disease and can be targeted by drugs, is much easier. However, how such sets of genes can be identified without specifying either the target diseases or drugs is not known. In this study, a novel artificial intelligence-based approach that employs unsupervised methods and identifies genes without specifying neither diseases nor drugs is presented. To evaluate its feasibility, we applied tensor decomposition (TD)-based unsupervised feature extraction (FE) to perform drug repositioning from protein-protein interactions (PPI) without any other information. Proteins selected by TD-based unsupervised FE include many genes related to cancers, as well as drugs that target the selected proteins. Thus, we were able to identify cancer drugs using only PPI. Because the selected proteins had more interactions, we replaced the selected proteins with hub proteins and found that hub proteins themselves could be used for drug repositioning. In contrast to hub proteins, which can only identify cancer drugs, TD-based unsupervised FE enables the identification of drugs for other diseases. In addition, TD-based unsupervised FE can be used to identify drugs that are effective in in vivo experiments, which is difficult when hub proteins are used. In conclusion, TD-based unsupervised FE is a useful tool for drug repositioning using only PPI without other information.

Cardiocutaneous syndrome is caused by aggregation of iASPP mutants

The ASPP (apoptosis-stimulating protein of p53) family of proteins is involved in many cellular interactions and is starting to emerge as a major scaffolding hub for numerous proteins involved in cancer biology, inflammation and cellular integrity. It consists of the three members ASPP1, ASPP2 and iASPP which are best known for modulating the apoptotic function of p53, thereby directing cell fate decision. Germline mutations in iASPP have been shown to cause cardiocutaneous syndromes, a combination of heart and skin defects usually leading to death before the age of five. Mutations in iASPP causing these syndromes do not cluster in hot spots but are distributed throughout the protein. To understand the molecular mechanism(s) of how mutations in iASPP cause the development of cardiocutaneous syndromes we analysed the stability and solubility of iASPP mutants, characterized their interaction with chaperones and investigated their influence on NF-ĸB activity. Here we show that three different mechanisms are responsible for loss of function of iASPP: loss of the complete C-terminal domain, mutations resulting in increased auto-inhibition and aggregation due to destabilization of the C-terminal domain. In contrast to these germline mutations causing cardiocutaneous syndromes, missense mutations found in cancer do not result in aggregation.

Comprehensive analysis of lysine lactylation and its potential biological significance in clear cell renal cell carcinoma

BackgroundClear cell renal cell carcinoma (ccRCC) is a common histological subtype of malignant renal neoplasm. Protein lysine lactylation (Kla) plays a crucial role in tumor metabolic reprogramming. However, little is known regarding the distribution and potential biological functions of Kla in ccRCC. This study aimed to systematically investigate the role of Kla in ccRCC.MethodsA total of 12 ccRCC samples were collected from 6 patients. Western blotting was performed to determine the trend of Kla-modified proteins in ccRCC. Liquid chromatography–tandem mass spectrometry was used to quantitatively analyze Kla in ccRCC. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein–protein interaction (PPI) network analyses were conducted to clarify the biological functions and interactional relationships of differentially lactylated proteins (DLPs).ResultsIn total, 239 DLPs, including 441 lactylated sites, were identified by comparing ccRCC tissues with adjacent normal tissues. Kla-related enzymes have a higher affinity for alanine than for other amino acid residues in ccRCC. Subcellular localization analysis revealed that most DLPs were localized in the cytoplasm and mitochondria. GO enrichment analysis showed that most of the DLPs were enriched in metabolism-associated biological processes, including the purine ribonucleotide, monocarboxylic acid, ribonucleoside triphosphate, purine nucleoside triphosphate, and ATP metabolic processes. KEGG analysis indicated that most DLPs were also enriched in metabolism-related pathways, including glycolysis, amino acid (valine, leucine, and isoleucine) degradation, pyruvate metabolism, fatty acid degradation, and the citrate cycle. The top 20 hub proteins were screened from the PPI network based on their degree ranks.ConclusionsThis study revealed the role of Kla in ccRCC, which will extend our understanding of the potential molecular mechanisms underlying ccRCC formation and progression. These key Kla-modified proteins may be promising therapeutic targets for the treatment of ccRCC. However, further molecular experiments are required to validate these findings.

Cordycepin ameliorates autoimmunity by promoting STING degradation via autophagy pathway.

Stimulator of interferon response cGAMP interactor 1 (STING), a central hub protein of cyclic GMP-AMP synthase (cGAS)-STING signalling pathway, has a crucial role in regulating type I interferons (IFNs) production and response. Recent studies indicate that excessive activation of STING is strongly associated with autoimmune diseases, including systemic lupus erythematosus (SLE). Searching immunomodulators that negatively regulate STING might greatly contribute to the suppression of autoimmunity. The peripheral blood mononuclear cells (PBMCs) of SLE patients, Hela cells, L929 cells and bone marrow-derived macrophages (BMDMs) from mice were used as in vitro models. While, Trex1 KO mouse autoimmune disease model was used as in vivo model. After treatment with cordycepin, a nucleoside from Cordyceps mushrooms, type I IFNs production and response were determined by western blotting, real-time polymerase chain reaction (PCR), dual-luciferase assay, enzyme-linked immunosorbent assay (ELISA), haematoxylin-eosin staining and RNA-seq. Cordycepin inhibited type I IFNs production and response in human and murine systems following cGAS-STING signalling activation. Importantly, cordycepin markedly attenuates the autoinflammatory and autoimmune responses in Trex1 KO BMDMs and Trex1 KO mice. Furthermore, cordycepin effectively suppressed the production of type I IFNs and interferon-stimulated genes (ISGs) in the PBMCs of SLE patients. Mechanistically, cordycepin promoted STING degradation via autophagy pathway upon DNA stimulation. This study shows that cordycepin promotes STING autophagic degradation to alleviate autoimmunity upon DNA stimulation. Cordycepin might be a potential therapeutic candidate for alleviating aberrant type I IFNs in autoimmune and autoinflammatory diseases.

Investigation of Ginseng-Ophiopogon Injection on Enhancing Physical Function by Pharmacogenomics and Metabolomics Evaluation.

Ginseng-ophiopogon injection (GOI) is a clinically commonly used drug for Qi deficiency syndrome characterized by decreased physical function in China. This study aimed to clarify common pharmacological mechanisms of GOI in enhancing physical function. We performed an integrative strategy of weight-loaded swimming tests in cold water (5.5°C), hepatic glycogen and superoxide dismutase (SOD) detections, GC-TOF/MS-based metabolomics, multivariate statistical techniques, network pharmacology of known targets and constituents, and KEGG pathway analysis of GOI. Compared with the control group, GOI showed significant increases in the weightloaded swimming time, hepatic levels of glycogen and SOD. Additionally, 34 significantly differential serum metabolites referred to glycolysis, gluconeogenesis and arginine biosynthesis were affected by GOI. The target collection revealed 98 metabolic targets and 50 experimentreported drug targets of ingredients in GOI involved in enhancing physical function. Further, the PPI network analysis revealed that 8 ingredients of GOI, such as ginsenoside Re, ginsenoside Rf, ginsenoside Rg1, and notoginsenoside R1, were well-associated with 48 hub targets, which had good ability in enhancing physical function. Meanwhile, nine hub proteins, such as SOD, mechanistic target of Rapamycin (mTOR), and nitric oxide synthases, were confirmed to be affected by GOI. Finally, 98 enriched KEGG pathways (P<0.01 and FDR<0.001) of GOI were obtained from 48 hub targets of the PPI network. Among them, pathways in cancer, Chagas disease, lipid and atherosclerosis, and PI3K-Akt signaling pathway ranked top four. This study provided an integrative and efficient approach to understand the molecular mechanism of GOI in enhancing physical function.

TRIM16 and PRC1 Are Involved in Pancreatic Cancer Progression and Targeted by Delphinidin.

Pancreatic cancer (PC) is the leading cause of cancer-related death worldwide, and new biomarkers, therapeutic targets, and candidate drugs are needed. In this work, three PC-related microarray datasets (GSE183795, GSE28735, and GSE62452) were analyzed. The differentially expressed genes (DEGs) of PC were obtained with the limma package in R. Weighted gene co-expression network analysis (WGCNA) and machine learning approaches were used to screen the hub genes. Kaplan-Meier plotter and receiver operating characteristic (ROC) curve analysis were utilized to assess the diagnostic efficacy of the hub genes. The binding ability between natural bioactive ingredients and hub proteins was evaluated by molecular docking and molecular dynamics simulation. CCK-8, flow cytometry, transwell, and western blot assays were used to analyze the viability, apoptosis, cell cycle progression, invasion, and pathway change of PC cells. Additionally, a nude mice model was used to evaluate the aggressive properties of PC cells invivo. In this study, a total of 988 DEGs were identified, which were mainly enriched in cell adhesion and PI3K-Akt signaling pathway, and two core genes TRIM16 and PRC1 were further identified. The overall survival of patients with high expression of TRIM16 and PRC1 was shorter. Delphinidin (Del) had good binding affinity with both TRIM16 and PRC1, and Del could inhibit the viability, invasion, and metastasis of PC cells and induce cell apoptosis and G0/G1 phase arrest. In addition, Del could promote the activation of p53 and inhibit the activation of the PI3K/AKT signaling pathway in PC cells. In summary, TRIM16 and PRC1 are identified as prognostic biomarkers and therapeutic targets for PC, and Del has good binding affinity with them and may be a potential therapeutic agent for PC.

Proteomic analysis illustrates the potential involvement of dysregulated ribosome-related pathways and disrupted metabolism during retinoic acid-induced cleft palate development

Recent studies have unveiled disrupted metabolism in the progression of cleft palate (CP), a congenital anomaly characterized by defective fusion of facial structures. Nonetheless, the precise composition of this disrupted metabolism remains elusive, prompting us to identify these components and elucidate primary metabolic irregularities contributing to CP pathogenesis. We established a murine CP model by retinoic acid (RA) treatment and analyzed control and RA-treated embryonic palatal tissues by LC-MS-based proteomic approach. We identified 220 significantly upregulated and 224 significantly downregulated proteins. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that these differentially expressed proteins (DEPs) were involved in translation, ribosome assembly, mitochondrial function, mRNA binding, as well as key metabolic pathways like oxidative phosphorylation (OXPHOS), glycolysis/gluconeogenesis, and amino acid biosynthesis. These findings suggest that dysregulated ribosome-related pathways and disrupted metabolism play a critical role in CP development. Protein-protein interaction analysis using the STRING database revealed a tightly connected network of DEPs. Furthermore, we identified the top 10 hub proteins in CP using the Cytohubba plugin in Cytoscape. These hub proteins, including RPL8, RPS11, ALB, PA2G4, RPL23, RPS6, CCT7, EGFR, HSPD1, and RPS28, are potentially key regulators of CP pathogenesis. In conclusion, our comprehensive proteomic analysis provides insights into the molecular alterations associated with RA-induced CP in Kun Ming mice. These findings suggest potential therapeutic targets and pathways to understand and prevent congenital craniofacial anomalies.

Whole transcriptome sequencing identifies key lncRNAs, circRNAs and miRNAs in sepsis-associated acute lung injury

Purpose: In this study, we identified differentially expressed genes (DEGs) and signaling pathways to gain insight into the pathogenesis of acute lung injury (ALI). Methods: C57BL/6 mice were intravenously injected with lipopolysaccharide (LPS) to establish a sepsis-induced ALI model. Hematoxylin-eosin (H&E) and enzyme-linked immunosorbent assays (ELISAs) were used to evaluate the model. Whole transcriptome sequencing was performed to identify the expression changes in lncRNAs, circRNAs, miRNAs and mRNAs in lung tissues. The crucial RNAs and the biological function of the target genes were confirmed and annotated based on bioinformatics analysis. Real-time quantitative reverse transcription-polymerase chain reaction (qRT–PCR) was employed to verify the expression levels of key lncRNAs, circRNAs, miRNAs and mRNAs in the lung tissues and human bronchoalveolar lavage (BALF). Results: A total of 3304 (1632 upregulated and 1672 downregulated) differentially expressed mRNAs, 794 (397 up and 397 down) differentially expressed lncRNAs, 89 (58 up and 31 down) differentially expressed circRNAs, and 14 (11 up and 3 down) differentially expressed miRNAs were identified between the control and LPS lung tissues. The lncRNA ceRNA subnetwork and circRNA ceRNA subnetwork were constructed based on the observed interaction and co-expression among the differentially expressed RNAs. An analysis of the protein–protein interaction (PPI) network and hub genes revealed crucial mRNAs for circRNA-Tcf20. The lncRNA-Snhg12, Edn1, Stat1, miR-212-3p and miR-223-3p were upregulated in sepsis ARDS patients. CircRNA-Tcf20, Col1a1, Col1a2 and Flt3 were significantly downregulated in sepsis ARDS patients. The biological function analysis indicated that these genes were enriched in the TNF signaling pathway, Necroptosis signaling pathway and the PI3K-Akt signaling pathway. Conclusions: Our findings suggest that circRNA-Tcf20, miR-212-3p, miR-223-3p, Col1a1, Col1a2 and Flt3 may be new regulatory factors that participate in the pathogenesis of sepsis-related acute lung injury. CircRNA-Tcf20, lncRNA-Snhg12 and all the other RNAs may be potential biomarkers for septic ALI/ARDS.

Co-expression gene module analysis in response to attenuated cercaria vaccine reveals a critical role for NK cells in protection against Schistosoma mansoni.

Despite decades of research, an effective schistosomiasis vaccine remains elusive. The radiation-attenuated (RA) cercarial vaccine remains the best model for eliciting high levels of protection. We have recently explored this model in mice to identify potentially protective pathways by examining gene expression patterns in peripheral blood mononuclear cells (PBMC). Herein, we reanalyzed the transcriptomic data from PBMC obtained from vaccinated and infected C57BL/6 mice in three timepoints (Days 7 and 17 after infection or vaccination and Day 7 post-challenge). In addition, we generated new data on PBMC collected 35days after infection. Deconvolution analysis was performed to estimate immune cell composition by CIBERSORTx. Gene co-expression networks and over-representation analysis (ORA) were performed using the CEMiTool package. Protein-protein interaction networks were constructed using STRING, and the hub proteins for each module were identified using Cytoscape. Co-expression network analysis identified a module (M2) associated with the infection process, grouping genes related to a Th2 immune response, and a second module (M6) associated with the vaccination process, displaying pathways related to a Th1 response, CD8 + T cells and NK cells. Within each module, five hub proteins were identified based on protein-protein interaction networks. The M2 infection module revealed Chil3, Il4, Cx3cr1, Emr1 and Ccl2 as hubs, while module M6, associated with vaccination, disclosed Prf1, Klrc1, IFN-γ, Ncr1 and Tbx21 as hub proteins. Our data point to the potentiald role of NK cells that may contribute to the RA vaccine response through the production of IFN-γ orchestrated by the T-bet transcription factor (Tbx21).

Integrative analysis of non12‐hydroxylated bile acid revealed the suppressed molecular map of alternative pathway in nonalcoholic steatohepatitis mice

AbstractBile acids (BAs) are significantly altered in the liver and serum of patients with nonalcoholic steatohepatitis (NASH). However, the underlying mechanisms of these changes, particularly BA alternative pathways (BAP) responsible for non12‐OH BAs, remain unclear. RNA‐seq data were initially analyzed to reveal the changes of gene expression in NASH patients. Targeted metabolomics were conducted on plasma from NASH mice induced by high‐fat or western diet with CCl4 for 10–24 weeks. Liver tissues were examined using proteomics, RT‐qPCR, and western blotting. An integrated approach was then employed to analyze protein interactions and network correlations. Analysis of RNA‐seq data revealed the inhibition of CYP7B1 in NASH patients, indicating the dysregulation of BAP. In NASH mouse models, dysregulation of BA circulation was observed by increased plasma total BA (TBA) levels and decreased liver TBA, with liver swelling and histopathological changes. Targeted metabolomics revealed suppressed levels of non12‐OH BAs, which inversely correlated with increased liver injury markers. The reduced mRNA and protein expression of Fxr and upregulation of Lxr signaling in livers suggested the suppressed BAP was modulated by Fxr‐Lxr signaling. Moreover, BAP interactions predominantly implicated multiple metabolism disruptions, involving 7 hub proteins (Hk1, Acadsb, Pklr, Insr, Ldlr, Cyp27a1, and Cyp7b1), offering promising therapeutic targets for NASH. We presented the metabolic and proteomic map of BAP and its regulatory network in NASH progression. Therapeutic targeting of BAP or its co‐regulatory proteins holds promise for NASH treatment and metabolic syndrome management.

Prolonged cultivation enhances the stimulatory activity of hiPSC mesenchymal progenitor-derived conditioned medium

BackgroundHuman induced pluripotent stem cells represent a scalable source of youthful tissue progenitors and secretomes for regenerative therapies. The aim of our study was to investigate the potential of conditioned medium (CM) from hiPSC-mesenchymal progenitors (hiPSC-MPs) to stimulate osteogenic differentiation of human bone marrow-derived mesenchymal stromal cells (MSCs). We also investigated whether prolonged cultivation or osteogenic pre-differentiation of hiPSC-MPs could enhance the stimulatory activity of CM.MethodsMSCs were isolated from 13 donors (age 20–90 years). CM derived from hiPSC-MPs was added to the MSC cultures and the effects on proliferation and osteogenic differentiation were examined after 14 days and 6 weeks. The stimulatory activity of hiPSC-MP-CM was compared with the activity of MSC-derived CM and with the activity of CM prepared from hiPSC-MPs pre-cultured in growth or osteogenic medium for 14 days. Comparative proteomic analysis of CM was performed to gain insight into the molecular components responsible for the stimulatory activity.ResultsPrimary bone marrow-derived MSC exhibited variability, with a tendency towards lower proliferation and tri-lineage differentiation in older donors. hiPSC-MP-CM increased the proliferation and alkaline phosphatase activity of MSC from several adult/aged donors after 14 days of continuous supplementation under osteogenic conditions. However, CM supplementation failed to improve the mineralization of MSC pellets after 6 weeks under osteogenic conditions. hiPSC-MP-CM showed greater enhancement of proliferation and ALP activity than CM derived from bone marrow-derived MSCs. Moreover, 14-day cultivation but not osteogenic pre-differentiation of hiPSC-MPs strongly enhanced CM stimulatory activity. Quantitative proteomic analysis of d14-CM revealed a distinct profile of components that formed a highly interconnected associations network with two clusters, one functionally associated with binding and organization of actin/cytoskeletal components and the other with structural constituents of the extracellular matrix, collagen, and growth factor binding. Several hub proteins were identified that were reported to have functions in cell-extracellular matrix interaction, osteogenic differentiation and development.ConclusionsOur data show that hiPSC-MP-CM enhances early osteogenic differentiation of human bone marrow-derived MSCs and that prolonged cultivation of hiPSC-MPs enhances CM-stimulatory activity. Proteomic analysis of the upregulated protein components provides the basis for further optimization of hiPSC-MP-CM for bone regenerative therapies.Graphical

Determining the rate-limiting processes for cell division in Escherichia coli

A critical cell cycle checkpoint for most bacteria is the onset of constriction when the septal peptidoglycan synthesis starts. According to the current understanding, the arrival of FtsN to midcell triggers this checkpoint in Escherichia coli. Recent structural and in vitro data suggests that recruitment of FtsN to the Z-ring leads to a conformational switch in actin-like FtsA, which links FtsZ protofilaments to the cell membrane and acts as a hub for the late divisome proteins. Here, we investigate this putative pathway using in vivo measurements and stochastic cell cycle modeling at moderately fast growth rates. Quantitatively upregulating protein concentrations and determining the resulting division timings shows that FtsN and FtsA numbers are not rate-limiting for the division in E. coli. However, at higher overexpression levels, they affect divisions: FtsN by accelerating and FtsA by inhibiting them. At the same time, we find that the FtsZ numbers in the cell are one of the rate-limiting factors for cell divisions in E. coli. Altogether, these findings suggest that instead of FtsN, accumulation of FtsZ in the Z-ring is one of the main drivers of the onset of constriction in E. coli at faster growth rates.

Transcriptome and interactome-based analyses to unravel crucial proteins and pathways involved in Acinetobacter baumannii pathogenesis.

The present study employed an integrated transcriptome and interactome-based analyses to identify key proteins and pathways associated with Acinetobacter baumannii infection towards the development of novel therapeutics against this pathogen. Transcriptome analysis of A.baumannii strains (ATCC 17978 and AbH12O-A2) identified 253 and 619 differentially expressed genes (DEGs), respectively. These genes were involved in essential molecular functions, including DNA binding, metal ion binding, and oxidoreductase activity. The centrality and module analyses of these identified DEGs had shortlisted 27 and 41 hub proteins, which were central to the ATCC 17978 and AbH12O-A2 networks, and essential for bacterial survival. Significantly, three proteins (SecA, glutathione synthase, and aromatic-amino-acid transaminase) from the ATCC 17978 strain and seven proteins (ATP synthase subunit alpha, translation initiation factor IF-2, SecY, elongation factors G, Tu, and Ts, and tRNA guanine-N1-methyltransferase) from the AbH12O-A2 strain showed interactions with human proteins, identified through host-pathogen interaction (HPI) analysis of hub proteins (referred as hub-HPI proteins). These proteins were observed to participate in vital pathways, including glutathione metabolism, secondary metabolite biosynthesis and quorum sensing. Targeting these hub-HPI proteins through novel therapeutic strategies holds the potential to disrupt the critical bacterial pathways, thereby controlling A. baumannii infections. Furthermore, their localization analysis indicated that nine proteins were cytoplasmic and one was membrane protein. Among them, six were druggable and four were novel proteins. Overall, this comprehensive study provides valuable insights into the crucial proteins and pathways involved during A. baumannii infection, and offers potential therapeutic targets for designing novel antimicrobial agents to tackle the pathogen.

Identification of immune-associated genes for the diagnosis of ulcerative colitis-associated carcinogenesis via integrated bioinformatics analysis.

UC patients suffer more from colorectal cancer (CRC) than the general population, which increases with disease duration. Early colonoscopy is difficult because ulcerative colitis-associated colorectal cancer (UCAC) lesions are flat and multifocal. Our study aimed to identify promising UCAC biomarkers that are complementary endoscopy strategies in the early stages. The datasets may be accessed from the Gene Expression Omnibus and The Cancer Genome Atlas databases. The co-expressed modules of UC and CRC were determined via weighted co-expression network analysis (WGCNA). The biological mechanisms of the shared genes were exported for analysis using the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. To identify protein interactions and hub genes, a protein-protein interaction network and CytoHubba analysis were conducted. To evaluate gene expression, external datasets and experimental validation of human colon tissues were utilized. The diagnostic value of core genes was examined through receiver operating characteristic (ROC) curves. Immune infiltration analysis was employed to investigate the associations between immune cell populations and hub genes. Three crucial modules were identified from the WGCNA of UC and CRC tissues, and 33 coexpressed genes that were predominantly enriched in the NF-κB pathway were identified. Two biomarkers (CXCL1 and BCL6) were identified via Cytoscape and validated in external datasets and human colon tissues. CRC patients expressed CXCL1 at the highest level, whereas UC and CRC patients showed higher levels than the controls. The UC cohort expressed BCL6 at the highest level, whereas the UC and CRC cohorts expressed it more highly than the controls. The hub genes exhibited significant diagnostic potential (ROC curve > 0.7). The immune infiltration results revealed a correlation among the hub genes and macrophages, neutrophils and B cells. The findings of our research suggest that BCL6 and CXCL1 could serve as effective biomarkers for UCAC surveillance. Additionally, they demonstrated a robust correlation with immune cell populations within the CRC tumour microenvironment (TME). Our findings provide a valuable insight about diagnosis and therapy of UCAC.

Differential proteomic profiles of exosomes in pediatric and adult adamantinomatous craniopharyngioma cyst fluid.

Adamantinomatous craniopharyngiomas (ACPs), commonly seen in pediatrics and adults often present with large cystic cavities that can compress surrounding tissues, causing severe visual and endocrine symptoms. Complete resection of cystic ACP is challenging, frequently leading to postoperative recurrence. The composition of the cystic fluid is complex, and to date, there has been limited research focusing on exosomes within ACP cyst fluid. We collected cyst fluid from 12 ACP patients and confirmed the presence of exosomes. Subsequently, we conducted exosomal proteomic analysis using LC-MS/MS. The patients were divided into pediatric and adult groups for the analysis of differential protein enrichment, followed by comprehensive bioinformatics analysis, including GO analysis, KEGG analysis, and PPI network analysis, among other functional pathway and protein interaction analyses. Immunohistochemistry was used to determine the tissue expression distribution of the differential protein APOA1. In our data analysis, 64 significantly differentially expressed proteins were identified, with 37 being overexpressed in the pediatric group and 27 in the adult group. Our results revealed that exosomal proteins in the pediatric group were predominantly enriched in modules and pathways related to high-density lipoprotein particle, apolipoprotein receptor binding, and the PPAR signaling pathway. Additionally, APOA1, as the hub protein with the highest connectivity in the differential protein interaction network, may play a critical role in β-amyloid metabolism pathways in pediatric ACP. This study is the first to construct a proteomic map of ACP cyst fluid exosomes, suggesting significant differences in the tumor microenvironment's lipid metabolism between pediatrics and adults.

4D-label free based comparative proteomics revealed the responsive mechanisms of quality deterioration driven by spore release in shiitake mushrooms

Label-free quantitative proteomics profiles combined with biochemical analysis were applied in three spore release stages to investigate the proteome responses related to spore release inducing the quality loss of mushrooms. During the spore release, the mushrooms softened, and malondialdehyde (MDA) and total free amino acids accumulated, especially bitter amino acids. Among the 2720 identified proteins, aminoacyl-tRNA biosynthesis, oxidative phosphorylation, and other glycan degradation pathways were primarily implicated. ATP-binding cassette (ABC) transporters and purine metabolism stimulated energy consumption in the second stage, which could be responsible for the spore release. Moreover, aminoacyl-tRNA ligase and ribosomal proteins were identified as hub proteins, actively expressed, and significantly associated with quality traits. The hub proteins might play a dominant role in mediating the quality deterioration triggered by the spore release in shiitake mushrooms. The results expand the understanding of the molecular mechanisms underlying the response to spore release in shiitake mushrooms.

Integrating Microarray Data and Single-Cell RNA-Seq Reveals Key Gene Involved in Spermatogonia Stem Cell Aging.

The in vitro generation of spermatogonial stem cells (SSCs) from embryonic stem cells (ESCs) offers a viable approach for addressing male infertility. A multitude of molecules participate in this intricate process, which requires additional elucidation. Despite the decline in SSCs in aged testes, SSCs are deemed immortal since they can multiply for three years with repeated transplantation. Nonetheless, the examination of aging is challenging due to the limited quantity and absence of precise indicators. Using a microarray, we assessed genome-wide transcripts (about 55,000 transcripts) of fibroblasts and SSCs. The WGCNA approach was then used to look for SSC-specific transcription factors (TFs) and hub SSC-specific genes based on ATAC-seq, DNase-seq, RNA-seq, and microarray data from the GEO databases as well as gene expression data (RNA-seq and microarray data). The microarray analysis of three human cases with different SSCs revealed that 6 genes were upregulated, and the expression of 23 genes was downregulated compared to the normal case in relation to aging genes. To reach these results, online assessments of Enrich Shiny GO, STRING, and Cytoscape were used to forecast the molecular and functional connections of proteins before identifying the master routes. The biological process and molecular function keywords of cell-matrix adhesion, telomerase activity, and telomere cap complex were shown to be significantly altered in upregulated differentially expressed genes (DEGs) by the functional enrichment analysis. According to our preliminary research, cell-specific TFs and TF-mediated GRNs are involved in the creation of SSCs. In order to maximize the induction efficiency of ESC differentiation into SSCs in vitro, hub SSC-specific genes and important SSC-specific TFs were identified, and sophisticated network regulation was proposed. According to our research, these genes and the hub proteins that they interact with may be able to shine a light on the pathophysiologies of infertility and aberrant germ cells.

Design and Synthesis of Ester Linked 1,2,3‐Triazole Quinoline Derivatives with Pancreatic β Cells Protective Activity against Oxidative Stress and Endoplasmic Reticulum Stress for Better Management of Type II Diabetes Mellitus

AbstractUnresolved endoplasmic reticulum (ER) stress and oxidative stress lead to the pathogenesis of type II diabetes mellitus (DM). Connecting links between the ER stress and oxidative stress pathways might play an important role in treatment and pathogenesis of diabetes. Here, we used network pharmacology approach to find the target proteins linking the ER stress and oxidative stress pathways. CHOP emerged as a hub protein from our results and was targeted by 16 newly designed and synthesized ester linked 1,2,3‐triazole quinoline derivatives by molecular docking. Drug likeliness prediction studies revealed all compounds as good druggable candidates. Compounds 5b (R = H, R1 = F), 5j (R = CH3, R1 = F), 5m (R = OCH3, R1 = H), and 5n (R = OCH3, R1 = F) were found to have considerable binding energies and active site amino acid interactions with CHOP. We further showed that compounds 5b, 5m, and 5n exhibited low toxicity with more than 50% cell survival and low IC50 values. These were therefore subjected to evaluate their effects on ER stress and oxidative stress. Finally, compound 5n (R = OCH3, R1 = F) was found to alleviate ER stress and is also a good antioxidant. Identification of such targets and compounds effective in improving ER stress and oxidative stress may provide new insights in the development of therapies and management of T2DM.

Multi-omics integration analysis identifies pathogenic candidate genes of congenital heart defects with vascular malformation

Abstract Background Congenital heart defects (CHD) with vascular malformation harbors numerous genetic and epigenetic aberrations of DNA copy numbers and methylation. Proteomic deregulation by the aberrations plays key driver roles in heterogeneous progression of CHD. However, it still remains largely unknown about integrative analysis of genetic, epigenetic regulation and proteome in CHD. Purpose We employed a multi-omics approach to explore pathogenic candidate genes in CHD with vascular malformation. Methods Previously, we gathered WES data for 216 CHD patients with vascular malformation and 100 healthy controls. Meanwhile, we carried out DNA methylation analysis from 11 patients and 5 controls. Here, we profile proteomics of vascular tissues from 11 patients and 5 controls. Integration analysis of DNA copy-number-correlated (CNVcor) genes, methylation-correlated (METcor) genes and differentially proteins reveal the innovative and crucial pathogenetic genes. We then detected spatiotemporal expression patterns of candidate genes in zebrafish embryos using in situ hybridization and qPCR, and verified the roles in vascular development by morpholino-mediated gene knockdown. Results 90 differentially expressed proteins (DEPs) were obtained using proteomics and were mainly related to cell adhesion and migration, angiogenesis, amino acid metabolism, and HIF-1 signaling pathway through GO and KEGG pathway enrichment analysis. 15 hub proteins were identified by WGCNA analysis (Fig 1). Additionally, we found that the frequencies of the aberrancies of the CNVcor genes were significantly correlated with the METcor genes (Fig 2 C). We obtained 1924 differentially CNVcor genes and 952 differentially METcor genes. Then, we computed the Pearson’s correlation coefficients of all three-omics by pairwise comparison and found that the distribution of correlations was bimodal (Fig 2 D). Meanwhile, 28 overlapped genes were observed among three-omics. We screened out 11 candidate genes (TIMP1, BGN, LTBP1, AKR1C3, LOXL3, MAOA, MAOB, GNA12, IFI30, CNTNAP1, IGF2BP1) according to the node degree of PPI network analysis between 28 genes and known vascular development related genes. We further figured out LOXL3, MAOA, CNTNAP1 and IGF2BP1 are the novel important genes for vascular malformation, of which CNTNAP1 is the joint gene of three-omics. Through expression patterns and gene knockdown in zebrafish embryos, we revealed that LOXL3, MAOA, CNTNAP1 and IGF2BP1 affect vascular development (Fig 2 E-G). Conclusions We identify novel key candidate genes (LOXL3, MAOA, CNTNAP1 and IGF2BP1) potentially related to CHD with vascular malformation and elucidate the possible molecular pathogenesis of CHD. Our multi-omics integrative analysis provides new insights on the multi-layered etiology of CHD, which might be helpful in developing clinical diagnosis and precaution for CHD.Figure 1Figure 2

Exploring the Regulatory Interaction of Differentially Expressed Proteins in Cleft Palate Induced by Retinoic Acid.

This study aimed to identify novel proteins involved in retinoic acid (RA)-induced embryonic cleft palate development. The palate tissues of the control and RA-treated E14.5 were dissected and subjected to iTRAQ-based proteomic analysis. Differential expression analysis identified 196 significantly upregulated and 149 downregulated considerably proteins in RA-induced palate tissues. Comprehensive Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed the significant involvement of cytoplasmic translation, ribosome biogenesis, glycolysis/gluconeogenesis, and glutathione metabolism pathways in cleft palate pathogenesis triggered by RA. In particular, ribosome-related pathways were highly enriched, while glycolysis was disrupted. Protein-protein interaction analysis, facilitated by the STRING database, revealed a tightly interconnected network of differentially expressed proteins. Further analysis using the cytoHubba plugin in Cytoscape identified ten hub proteins, including Eif4a1, Gapdh, Eno1, Imp3, Rps20, Rps27a, Eef2, Hsp90ab1, Rpl19, and Rps16, indicating their potential roles in RA-induced cleft palate development, and thus positioning them as potential biomarkers for cleft palate. These findings provide valuable insights into the proteomic changes associated with RA-induced cleft palate and shed light on key pathways and proteins that can contribute significantly to the pathogenesis of this congenital condition.