GO Databases Research Articles

An in silico comparative transcriptome analysis identifying hub lncRNAs and mRNAs in brain metastatic small cell lung cancer (SCLC)

Small cell lung cancer (SCLC) is a particularly lethal subtype of lung cancer. Metastatic lung tumours lead to most deaths from lung cancer. Predicting and preventing tumour metastasis is crucially essential for patient survivability. Hence, in the current study, we focused on a comprehensive analysis of lung cancer patients' differentially expressed genes (DEGs) on brain metastasis cell lines. DEGs are analysed through KEGG and GO databases for the most critical biological processes and pathways for enriched DEGs. Additionally, we performed protein–protein interaction (PPI), GeneMANIA, and Kaplan–Meier survival analyses on our DEGs. This article focused on mRNA and lncRNA DEGs for LC patients with brain metastasis and underlying molecular mechanisms. The expression data was gathered from the Gene Expression Omnibus database (GSE161968). We demonstrate that 30 distinct genes are up-expressed in brain metastatic SCLC patients, and 31 genes are down-expressed. All our analyses show that these genes are involved in metastatic SCLC. PPI analysis revealed two hub genes (CAT and APP). The results of this article present three lncRNAs, Including XLOC_l2_000941, LOC100507481, and XLOC_l2_007062, also notable mRNAs, have a close relation with brain metastasis in lung cancer and may have a role in the epithelial-mesenchymal transition (EMT) in tumour cells.

Identification and Annotation of Peptide Allergens in Prunus dulcis

Approximately, 10% of the world population is facing the challenge of food allergy in direct or indirect way. In this study, a genome-wide identification and annotation of the novel putative allergen from almond is performed. Initially, the whole proteome of almond (31,000 proteins) was scanned by Allergenonline, a publically available database of already reported allergens from different sources. The detailed analysis suggests that there are 430 putative allergens which reduced to 45 on motif-based screening using AllFam database. These predicted allergens are annotated for their function by using PFAM, GO databases and orthology analysis. To validate our prediction, we have used structural insights of allergen and antibody interactions for one of the predicted putative allergen protein, homologous to Pru ar 3.0101allergen from apricot. The structure of putative allergen was modeled and molecular docking studies were performed against the antibody. The best docked conformation was subjected to molecular simulation studies to confirm the stable binding of these two molecules. This detailed analysis suggests that the identified allergen will show cross reactivity similar to Pru ar 3.0101 allergen from apricot. This is one of the first report of identifying and annotating the homologous of Pru ar 3.0101 allergen in almond.

Response of the metabolic and autophagy pathways in Mytilus under starvation

Being an industrially valuable species of bivalve, Mytilus is widespread in the area around the eastern coast of China. Starvation is an environmental stress that mussels often encounter in their growth. However, few report carried out on the physiological and biochemical response and molecular regulation and adaptation mechanism of mussels under starvation. To illustrate the molecular mechanism of hosts of Mytilus to starvation, the gill transcriptome was used for analysis before and after 9 days of starvation in Mytilus using the Illumina/HiSeq-2000 deep sequencing platform, accompanied by the study of differentially expressed genes (DEGs). In total, 42.137 GB of clean data were obtained from six sample libraries, the average amount of clean data of each sample is 7.023 GB, and 58,540 unigenes that average 780 bp in length were assembled. Unigenes were illustrated by commenting them against the NR, Swiss-Prot, Pfam, String, GO and KEGG databases. After 9 days of starvation, 2,188 and 2,672 genes were determined to be significantly up- or down-regulated expression genes, separately. Amongst, 4,860 genes were associated with 260 pathways, contains vital enrichment pathways, such as “Metabolic”, “PI3K-Akt signaling pathway”, “Phagosome”, “Apoptosis” and “Lysosome”. In inclusion, autophagy cells were investigated by an electron microscopy, alongside further observations of the expression of autophagy-related genes in gill tissue before and after starvation. The data indicates that the amount of autophagosomes increased and found that atg2, atg6 and atg13 were significantly up-regulated. These results indicated that Mytilus may use autophagy to cope with their damage after starvation. With our research results, we have contributed to a deeper understanding of the role of the molecular mechanisms of immune defence in Mytilus under environmental stress, which has given insights into mussel breeding and the understanding of the molecular mechanisms of Mytilus immune system.

Whole genome analysis of Enterobacter cloacae Rs-2 and screening of genes related to plant-growth promotion.

The genus Enterobacter is widely recognized for its biotechnology potential in improving soil environment and crop growth promotion. To further explore these biotechnological potentials, we sequenced and analyzed the whole genome of Enterobacter cloacae Rs-2. The analysis showed that the total length of the Rs-2 genome was 6,965,070,514bp, and GC content was 55.80%; the annotation results of GO and COG databases showed that the genome contains a variety of growth-promoting genes, such as iscU, glnA, glnB (nitrogen fixation); iucABCD (siderophore synthesis) and fepA, fcuA, fhuA, and pfeA, etc. (siderophore transport); ipdC (secreted IAA) and gcd, pqqBCDEF (dissolved phosphorus), etc. No pathogenic factors such as virulence genes were found. The application of Rs-2 as a soil inoculant in pot experiments showed great potential for growth promotion. This study proved the plant growth-promoting ability of Rs-2 at the molecular level through genetic screening and analysis, which provided guidance for the further improvement of the strain and laid a foundation for its application in agricultural production.

Multi-Omic Admission-Based Biomarkers Predict 30-day Survival and Persistent Critical Illness in Trauma Patients after Injury

Introduction: Admission-based biomarkers for the prediction of outcomes in trauma patients could be useful for clinical-decision support. The extent to which biomarkers from different molecular classes might contribute to predictive modeling is unknown. Here, we analyzed a large multi-omic database (proteomics, metabolomics, and lipidomics, over 9,000 circulating variables) to identify prognostic biomarkers for adverse outcomes, including mortality and slow recovery, in severely injured patients. Methods: Admission plasma samples from patients (n = 148) enrolled in the PAMPer (Prehospital Plasma during Air Medical Transport in Trauma Patients at Risk for Hemorrhagic Shock) trial were analyzed using mass-spectrometry (metabolomics and lipidomics) and aptamer-based (proteomics) assays. Patients were stratified by 30-day survival or prolonged ICU LOS (>7 days defined as slow resolving). Biomarkers were selected via LASSO-regression modeling and machine-learning analysis. Results: Admission biomarkers derived from all three classes of molecules (n = 9 out of 9000) contributed to the best predictive model for 30-day survival, while a set of 5 proteins yielded the best prognostic model for slow resolution of critical illness (p < 0.5 with FDR < 5%). Both models output had mean AUC’s and accuracies above 70%. Correlation network analysis revealed multiple direct positive associations (r>0.8) between selected features within each model (from online GO database). Conclusion: These findings indicate that multi-omic analyses are likely to be useful to the identification of early prognostic biomarkers in trauma and that biomarkers are likely to differ based on the outcome. High dimensional proteomics may be especially useful for predicting recovery from critical illness.

Transcriptome profiling and differential expression analysis of the immune-related genes during the acute phase of infection with Photobacterium damselae subsp. damselae in silver pomfret (Pampus argenteus)

Silver pomfret has been widely cultured in China due to its high economic value. Photobacterium damselae subsp. damselae (PDD) is a Gram-negative bacterium that has been shown to infect many fish species. To increase knowledge of the molecular mechanisms of the host defense against PDD, we conducted transcriptome analysis of head kidney in silver pomfret at 24 h and 72 h post-infection (hpi) via Illumina sequencing. The de novo assembly resulted in the identification of 79,063 unigenes, with 59,386 (75.11%) successfully annotated in public databases (NR, NT, KO, Swiss-Prot, Pfam, GO, and KOG databases). Comparison of gene expression profiles between PBS-injected fish (sham control) and PDD-challenged fish revealed 329 and 570 differentially expressed genes (DEGs) were screened at 24 hpi and 72 hpi, respectively. The DEGs were enriched in multiple immune-related pathways such as Hepatitis C, Gastric acid secretion, CAMs and Leukocyte transendothelial migration pathways, Primary immunodeficieny, ECM-receptor interaction, PI3K-Akt signaling pathway. The data obtained in the present study offers valuable information for acute immune response of silver pomfret challenged with PDD, which will facilitate further investigations on strategies against Photobacterium spp. infection in teleosts.

Regulatory mechanisms of fatty acids biosynthesis in Armeniaca sibirica seed kernel oil at different developmental stages.

BackgroundArmeniaca sibirica seed kernel oil is rich in oleic acid and linoleic acid, thus holding potential value as a source of high-quality edible oils. However, some regulatory factors involved in fatty acids accumulation in A. sibirica seed kernels remain largely elusive. Thus, the aim of this study was to elucidate the regulatory mechanisms underlying fatty acids biosynthesis in A. sibirica developing seed kernels.MethodsSeed kernels from six plants from a single A. sibirica clone were taken at five different developmental stages (days 30, 41, 52, 63, and 73 after anthesis). Fatty acid composition in seed kernel oil was determined by gas chromatography-mass spectrometry (GC-MS). In addition, transcriptome analysis was conducted using second-generation sequencing (SGS) and single-molecule real-time sequencing (SMRT).ResultsRapid accumulation of fatty acids occurred throughout the different stages of seed kernels development, with oleic acid and linoleic acid as the main fatty acids. A total of 10,024, 9,803, 6,004, 6,719 and 9,688 unigenes were matched in the Nt, Nr, KOG, GO and KEGG databases, respectively. In the category lipid metabolism, 228 differentially expressed genes (DEGs) were annotated into 13 KEGG pathways. Specific unigenes encoding 12 key enzymes related to fatty acids biosynthesis were determined. Co-expression network analysis identified 11 transcription factors (TFs) and 13 long non-coding RNAs (lncRNAs) which putatively participate in the regulation of fatty acid biosynthesis. This study provides insights into the molecular regulatory mechanisms of fatty acids biosynthesis in A. sibirica developing seed kernels, and enabled the identification of novel candidate factors for future improvement of the production and quality of seed kernel oil by breeding.

Potential biomarkers for predicting the overall survival outcome of kidney renal papillary cell carcinoma: an analysis of ferroptosis-related LNCRNAs

BackgroundKidney renal papillary cell carcinoma (KIRP) is a dangerous cancer, which accounts for 15–20% of all kidney malignancies. Ferroptosis is a rare kind of cell death that overcomes medication resistance. Ferroptosis-related long non-coding RNAs (LNCRNAs) in KIRP, remain unknown.MethodWe wanted to express how ferroptosis-related LNCRNAs interact with immune cell infiltration in KIRP. Gene set enrichment analysis in the GO and KEGG databases were used to explore gene expression enrichment. The prognostic model was constructed using Lasso regression. In addition, we also analyzed the modifications in the tumor microenvironment (TME) and immunological association.ResultThe expression of LNCRNA was closely connected to the ferroptosis, according to co-expression analyses. CASC19, AC090197.1, AC099850.3, AL033397.2, LINC00462, and B3GALT1-AS1 were found to be significantly increased in the high-risk group, indicating that all of these markers implicates the malignancy processes for KIRP patients and may be cancer-promoting variables. LNCTAM34A and AC024022.1 were shown to be significantly elevated in the low-risk group; these might represent as the KIRP tumor suppressor genes. According to the TCGA, CCR, and inflammation-promoting genes were considered to be significantly different between the low-risk and high-risk groups. The expression of CD160, TNFSF4, CD80, BTLA, and TNFRSF9 was different in the two risk groups.ConclusionLNCRNAs associated with ferroptosis were linked to the occurrence and progression of KIRP. Ferroptosis-related LNCRNAs and immune cell infiltration in the TME may be potential biomarkers in KIRP that should be further investigated.

Single-molecule Real-time (SMRT) Sequencing Facilitates Transcriptome Research and Genome Annotation of the Fish Sillago sinica.

As a newly described Sillaginidae species, Chinese sillago (Sillago sinica) needs a better understanding of gene annotation information. In this study, we reported the first full-length transcriptome data of S. sinica using the PacBio isoform sequencing Iso-seq and a description of transcriptome structure analysis. A total of 454,979 high-quality full-length transcripts were obtained by single-molecule real-time (SMRT) sequencing, which was corrected by Illumina sequencing data. After that, 66,948 non-redundant full-length transcripts were generated after mapping to the reference genome of S. sinica, including 49 fusion isoforms and 9,250 novel isoforms. 63,459 isoforms were successfully annotated by one of the Nr, Nt, SwissProt, Pfam, KOG, GO, and KEGG databases. Additionally, 30,987 alternative polyadenylation (APA) sites, 451,867 alternative splicing (AS) events, 21,928 long non-coding RNAs (lncRNAs) and 12,911 transcription factors (TFs) were identified. The full-length transcripts of S. sinica would provide a precious resource for characterizing the transcriptome of S. sinica and for the further study of gene function and regulatory mechanism of this species.

Integrative methylome and transcriptome analysis of porcine abdominal fat indicates changes in fat metabolism and immune responses during different development.

Fat is involved in synthesizing fatty acids (FAs), FA circulation, and lipid metabolism. Various genetic studies have been conducted on porcine fat but understanding the growth and specific adipose tissue is insufficient. The purpose of this study is to investigate the epigenetic difference in abdominal fat according to the growth of porcine. The samples were collected from the porcine abdominal fat of different developmental stages (10 and 26 weeks of age). Then, the samples were sequenced using MBD-seq and RNA-seq for profiling DNA methylation and RNA expression. In 26 weeks of age pigs, differentially methylated genes (DMGs) and differentially expressed genes (DEGs) were identified as 2,251 and 5,768, compared with 10 weeks of age pigs, respectively. Gene functional analysis was performed using GO and KEGG databases. In functional analysis results of DMGs and DEGs, immune responses such as chemokine signaling pathways, B cell receptor signaling pathways, and lipid metabolism terms such as PPAR signaling pathways and fatty acid degradation were identified. It is thought that there is an influence between DNA methylation and gene expression through changes in genes with similar functions. The effects of DNA methylation on gene expression were investigated using cis-regulation and trans-regulation analysis to integrate and interpret different molecular layers. In the cis-regulation analysis using 629 overlapping genes between DEGs and DMGs, immune response functions were identified, while in trans-regulation analysis through the TF-target gene network, the co-expression network of lipid metabolism-related functions was distinguished. Our research provides an understanding of the underlying mechanisms for epigenetic regulation in porcine abdominal fat with aging.

Transcriptome analysis and identification of the genes associated with the heat stress response in four rhododendron species

• The order of thermotolerance of four rhododendrons was determined. • ROS and secondary metabolites played important roles in rhododendrons heat response. • TFs related to heat response of rhododendrons was screened out. • Abundant genomic information of rhododendrons was provided. Rhododendrons are prominent ornamental plants worldwide. The molecular mechanism of thermotolerance in the Rhododendron genus is still largely unknown. Here, R. molle, R. delavayi, R. irroratum , and R. decorum were selected to determine the molecular mechanism of the heat stress response in rhododendrons by transcriptomic studies. According to the heat injury index, the order of thermotolerance was R. molle > R. irroratum > R. decorum > R. delavayi. R. delavayi was sequenced with the reference genome, while other rhododendrons were sequenced without the reference genome. Two sequencing libraries of each rhododendron, namely one control and one heat stress-treated sample, were constructed for comparative transcriptomic analysis. In R. delavayi , 90.99% clean reads were mapped, and 86,621, 121,343, and 99,992 unigenes were identified in R. molle, R. irroratum , and R. decorum , respectively. Unigenes were annotated in the KEGG, GO, and Nr databases. According to the Nr annotation results, rhododendrons had a high gene similarity with Actinidia chinensis and Camellia sinensis . Between two sequencing libraries of R. molle, R. delavayi, R. irroratum , and R. decorum , 9017, 6916, 5243, and 11751 transcripts, respectively, were further identified as differentially expressed genes (DEGs). Transcription factor (TF) families enriched in DEGs mainly include ERF, bHLH, MYB, WRKY, and MYB_related, and several TFs were commonly regulated in all plants, such as BBR / BPC7, bZIP1, bZIP12, COL15, BBX22, ERF118-2, DREB2C, HsfC1, HSF8, LBD41, PHERES, RADIALIS-like 4, SPL14, SPL9 bHLH041, Dof5.4, ERF061 , and PTI6 . The data obtained in this study can provide abundant genomic information for future research and help to clarify the molecular mechanisms of rhododendrons’ heat stress response.

Transcriptome Analysis Provides Insights into Potentilla bifurca Adaptation to High Altitude.

Potentilla bifurca is widely distributed in Eurasia, including the Tibetan Plateau. It is a valuable medicinal plant in the Tibetan traditional medicine system, especially for the treatment of diabetes. This study investigated the functional gene profile of Potentilla bifurca at different altitudes by RNA-sequencing technology, including de novo assembly of 222,619 unigenes from 405 million clean reads, 57.64% of which were annotated in Nr, GO, KEGG, Pfam, and Swiss-Prot databases. The most significantly differentially expressed top 50 genes in the high-altitude samples were derived from plants that responded to abiotic stress, such as peroxidase, superoxide dismutase protein, and the ubiquitin-conjugating enzyme. Pathway analysis revealed that a large number of DEGs encode key enzymes involved in secondary metabolites, including phenylpropane and flavonoids. In addition, a total of 298 potential genomic SSRs were identified in this study, which provides information on the development of functional molecular markers for genetic diversity assessment. In conclusion, this study provides the first comprehensive assessment of the Potentilla bifurca transcriptome. This provides new insights into coping mechanisms for non-model organisms surviving in harsh environments at high altitudes, as well as molecular evidence for the selection of superior medicinal plants.

Effects of Nutrient Elements on Growth and Expression of Insect-Defense Response Genes in Zanthoxylum bungeanum Maxim

In China, Zanthoxylum bungeanum Maxim, known as “Huajiao,” has a pleasant, fragrant flavor and several therapeutic properties. The nutritional content of plants is necessary for their defense response to insects. In this study, we analyzed the effects of soil fertilization treatments such as nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and special compound fertilizer for pepper (HZ) on the different growth parameters and expression of insect-defense-response genes in Z. bungeanum. The results show that the height and weight of prickly ash significantly differed after the application of fertilizers with different concentrations. Additionally, seedlings that were treated with low concentrations of nutrient fertilizers (N1, P1, K1, Ca1, and HZ1) were significantly higher, and they were selected for transcriptome analysis. According to transcriptomic analysis, a total of 65,566 unigenes were discovered, among which 61,379 corresponded to annotated protein-coding genes and 4187 to transcripts of novel protein-coding genes. A total of 294 unigenes were detected as candidate genes for regulating the defense response to insects, including 204 protease inhibitors, 29 plant lectins, and 61 other defense response genes. Additionally, trypsin inhibitors, cystatin, phytepsin, metalloproteinase, MMP, caffeic acid, resveratrol, and thiol proteinase inhibitors, ACA, TDC, and 28 BES1 were enriched in Z. bungeanum. Specifically, the leaves of Z. bungeanum that were treated with Ca and HZ fertilizations were dominated by the protease inhibitors. In addition, the type of fertilizer significantly affects gene expression in plants. The functional annotations were predicted by the number of differentially expressed genes and classified by GO and KEGG ontology enrichment analysis. Moreover, according to the GO database, biological processes were the largest group and contained a high frequency of differentially expressed genes. According to KEGG pathway results, significantly enriched genes belonged to the biosynthesis of secondary metabolisms, amino acid metabolism, and folding, sorting, and degradation. Overall, it was found that the type of fertilizer with low concentrations had an effect on Z. bungeanum’s primary and secondary metabolism, and these findings provided grounds for further research in forest protection science.

Identification of an Epigenetic Signature for Coronary Heart Disease in Postmenopausal Women's PBMC DNA.

Menopause is accompanied with an increased risk of cardiovascular disease. DNA methylation may have a significant impact on postmenopausal women's development of coronary heart disease. DNA methylation alterations in peripheral blood mononuclear cells (PBMCs) from women with coronary heart disease and healthy controls were detected using the Illumina Infinium MethylationEPIC BeadChip platform in this work. We employed Sangerbox technology and the GO and KEGG databases to further study the pathogenesis of coronary heart disease in postmenopausal women. After that, we used functional epigenetic module analysis and Cytoscape to remove the hub genes from the protein–protein interaction networks. Five genes (FOXA2, PTRD, CREB1, CTNAP2, and FBN2) were the hub genes. Lipid accumulation, endothelial cell failure, inflammatory responses, monocyte recruitment and aggregation, and other critical biological processes were all influenced by these genes. Finally, we employed methylation-specific PCR to demonstrate that FOXA2 was methylated at a high level in postmenopausal women with coronary heart disease. To better understand coronary heart disease in postmenopausal women's molecular mechanisms, our study examine the major factors contributing to the state of DNA methylation modification, which will help discover novel diagnostic tools and treatment options.

Novel estrogen-responsive genes (ERGs) for the evaluation of estrogenic activity.

Estrogen action is mediated by various genes, including estrogen-responsive genes (ERGs). ERGs have been used as reporter-genes and markers for gene expression. Gene expression profiling using a set of ERGs has been used to examine statistically reliable transcriptomic assays such as DNA microarray assays and RNA sequencing (RNA-seq). However, the quality of ERGs has not been extensively examined. Here, we obtained a set of 300 ERGs that were newly identified by six sets of RNA-seq data from estrogen-treated and control human breast cancer MCF-7 cells. The ERGs exhibited statistical stability, which was based on the coefficient of variation (CV) analysis, correlation analysis, and examination of the functional association with estrogen action using database searches. A set of the top 30 genes based on CV ranking were further evaluated quantitatively by RT-PCR and qualitatively by a functional analysis using the GO and KEGG databases and by a mechanistic analysis to classify ERα/β-dependent or ER-independent types of transcriptional regulation. The 30 ERGs were characterized according to (1) the enzymes, such as metabolic enzymes, proteases, and protein kinases, (2) the genes with specific cell functions, such as cell-signaling mediators, tumor-suppressors, and the roles in breast cancer, (3) the association with transcriptional regulation, and (4) estrogen-responsiveness. Therefore, the ERGs identified here represent various cell functions and cell signaling pathways, including estrogen signaling, and thus, may be useful to evaluate estrogenic activity.

Integrated analysis of proteomics and metabolomics in girls with central precocious puberty.

BackgroundCentral precocious puberty (CPP) is a multifactorial and complex condition. Traditional studies focusing on a single indicator cannot always elucidate this panoramic condition but these may be revealed by using omics techniques.ObjectiveProteomics and metabolomics analysis of girls with CPP were compared to normal controls and the potential biomarkers and pathways involved were explored.MethodsSerum proteins and metabolites from normal girls and those with CPP were compared by LC-MS/MS. Multivariate and univariate statistical analysis were used to identify the differentially expressed proteins (DEPs) and differentially expressed metabolites (DEMs). Functional annotation and pathway enrichment analysis were performed by using GO and KEGG databases, and candidate markers were screened. Finally, bioinformatic analysis was used to integrate the results of proteomics and metabolomics to find the key differential proteins, metabolites and potential biomarkers of CPP.Results134 DEPs were identified in girls with CPP with 71 up- and 63 down-regulated, respectively. Up-regulated proteins were enriched mainly in the extracellular matrix, cell adhesion and cellular protein metabolic processes, platelet degranulation and skeletal system development. The down-regulated proteins were mainly enriched in the immune response. Candidate proteins including MMP9, TIMP1, SPP1, CDC42, POSTN, COL1A1, COL6A1, COL2A1 and BMP1, were found that may be related to pubertal development. 103 DEMs were identified, including 42 up-regulated and 61 down-regulated metabolites which were mainly enriched in lipid and taurine metabolic pathways. KGML network analysis showed that phosphocholine (16:1(9Z)/16:1(9Z)) was involved in arachidonic acid, glycerophospholipid, linoleic acid and α-linolenic acid metabolism and it may be used as a biomarker of CPP.ConclusionsOur study is the first to integrate proteomics and metabolomics to analyze the serum of girls with CPP and we found some key differential proteins and metabolites as well as a potential biomarker for this condition. Lipid metabolism pathways are involved and these may provide a key direction to further explore the molecular mechanisms and pathogenesis of CPP.

Comprehensive Analysis of Quantitative Proteomics With DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy.

Background: Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific complication characterized by pruritus without skin damage and jaundice. The poor perinatal outcomes include fetal distress, preterm birth, and unexpected intrauterine death. However, the mechanism of ICP leading to poor prognosis is still unclear. Methods: We analyzed 10 ICP and 10 normal placental specimens through quantitative proteomics of data-independent acquisition (DIA) to screen and identify differentially expressed proteins. GO, KEGG, COG/KOG, StringDB, InterProScan, Metascape, BioGPS, and NetworkAnalyst databases were used in this study. PITA, miRanda, TargetScan, starBase, and LncBase Predicted v.2 were used for constructing a competing endogenous RNA (ceRNA) network. Cytoscape was used for drawing regulatory networks, and cytoHubba was used for screening core nodes. The ICP rat models were used to validate the pathological mechanism. Results: GO, KEGG, and COG/KOG functional enrichment analysis results showed the differentially expressed proteins participated in autophagy, autophagosome formation, cofactor binding, JAK-STAT signaling pathway, and coenzyme transport and metabolism. DisGeNET analysis showed that these differentially expressed proteins were associated with red blood cell disorder and slow progression. We further analyzed first 12 proteins in the upregulated and downregulated differentially expressed proteins and incorporated clinicopathologic parameters. Our results showed HBG1, SPI1, HBG2, HBE1, FOXK1, KRT72, SLC13A3, MBD2, SP9, GPLD1, MYH7, and BLOC1S1 were associated with ICP development. ceRNA network analysis showed that MBD2, SPI1, FOXK1, and SLC13A3 were regulated by multiple miRNAs and lncRNAs. Conclusion: ICP was associated with autophagy. The ceRNA network of MBD2, SPI1, FOXK1, and SLC13A3 was involved in ICP progression, and these core proteins might be potential target.

Effects of Soybean Lecithin on Growth Performance, Intestine Morphology, and Liver Tissue Metabolism in Rock Bream (Oplegnathus fasciatus) Larvae

Investigations have demonstrated a strong and positive association between dietary intact phospholipid (PL) inclusion and aquatic larval growth, nevertheless, the precise molecular mechanism underlying PL inclusion on growth performance has not been well elucidated. This study aimed to investigate the effects of dietary soybean lecithin (SL) inclusion on growth performance, liver metabolism, resistance to hypoxia stress, and potential molecular mechanisms in rock bream (Oplegnathus fasciatus) larvae. Four types of equal-protein and equal-lipid content microdiets (MDs) were formulated with graded levels of SL to achieve phospholipid levels of (PLs, dry matter) 3.84% (SL0), 6.71% (SL4), 9.38% (SL8), and 12.21% (SL12). Rock bream larvae (25 days post-hatching) were fed the respective MDs for 30 days with three replicates. We found that dietary SL inclusion promoted growth performance, survival rate, and stress resistance to hypoxia stress. The increased dietary SL inclusion improved intestinal structure, as shown by the increased perimeter ratio, muscular thickness, and mucosal fold height of the mid-intestinal tissue. Moreover, a high SL inclusion diet (SL12) increased the activity of the key lipolysis-related enzyme (lipase [LP]) in liver tissue but decreased the activity of amino acid catabolism-related enzymes (aspartate aminotransferase [AST] and alanine aminotransferase [ALT]). RNA sequencing results in liver tissue revealed that the SL12 diet increased the transcriptional level of fatty acid activation-related genes (acsl6 and acsbg2), phospholipid catabolism-related genes (acat2, lpin2, and crls), and amino acid synthesis-related genes (gs, csb, aldh18a1, and oct), but decreased the expression of amino acid catabolism-related gene gprt2. Notably, the SL12 diet significantly increased the expression of ribosome biogenesis-related genes (pes1, nop56, nop58, and rpf2) in liver tissue. The ribosome protein-related pathways were the most enriched pathways mapped in the GO database. Collectively, this study demonstrated the necessity of dietary SL for survival, growth performance, promotion of mid-intestinal morphology, and hypoxia stress during the rock bream larval stage. The SL-induced growth performance promotion was likely attributed to increasing nutrient acquisition by intestinal morphology improvement and to increasing SL catabolism and thereby sparing amino acids for protein synthesis.

Comparative proteomic analysis reveals insights into the response of Cryptolaemus montrouzieri to bottom-up transfer of cadmium and lead across a multi-trophic food chain

Contamination of agro-ecosystems with heavy metals can affect the development and reproduction of insect natural enemies. This study reports a detailed Tandem Mass Tag based quantitative proteomic analysis of underlying mechanisms responsible for stress response of Cryptolaemus montrouzieri against heavy metals (cadmium (Cd) and lead (Pb)) transported across a multi-trophic food chain. A total of 6639 proteins were detected under Cd as well as Pb stress. In Pb versus the control cluster, 69 proteins (28 up-regulated and 41 down-regulated) were differentially expressed whereas 268 proteins were differentially expressed under Cd versus the control cluster, having 198 proteins up-regulated and 70 down-regulated proteins. The analysis of differentially expressed proteins showed that 27 proteins overlapped in both clusters representing the core proteome to Pb and Cd stress. The bioinformatics analysis demonstrated that these proteins were mapped to 57 and 99 pathways in Pb versus control and Cd versus control clusters, respectively. The functional classification by COG, GO and KEGG databases showed significant changes in protein expression by C. montrouzieri under Pb and Cd stress. The heavy metal stress (Pb and Cd) induced significant changes in expression of proteins like hexokinase (HK), succinyl-CoA, trypsin like proteins, cysteine proteases, cell division cycle proteins, and yellow gene proteins. The results provide detailed information on the protein expression levels of C. montrouzieri and will serve as basic information for future proteomic studies on heavy metal responses of insect predators within a multi-trophic food chain.

Signaling Pathways and Protein-Protein Interaction of Vimentin in Invasive and Migration Cells: A Review.

The vimentin (encoded by VIM) is one of the 70 human intermediate filaments (IFs), building highly dynamic and cell-type-specific web networks in the cytoplasm. Vim-/- mice exhibit process defects associated with cell differentiation, which can have implications for understanding cancer and disease. This review showed recent reports from studies that unveiled vimentin intermediate filaments (VIFs) as an essential component of the cytoskeleton, followed by a description of vimentin's physiological functions and process reports in VIF signaling pathway and gene network studies. The main focus of the discussion is on vital signaling pathways associated with how VIF coordinates invasion cells and migration. The current research will open up multiple processes to research the function of VIF and other IF proteins in cellular and molecular biology, and they will lead to essential insights into different VIF levels for the invasive metastatic cancer cells. Enrich GO databases used Gene Ontology and Pathway Enrichment Analysis. Estimation with STRING online was to predict the functional and molecular interactions of proteins-protein with Cytoscape analysis to search and select the master genes. Using Cytoscape and STRING analysis, we presented eight genes, RhoA, Smad3, Akt1, Cdk2, Rock1, Rock2, Mapk1, and Mapk8, as the essential protein-protein interaction with vimentin involved in the invasion.