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1.
Article in Chinese | WPRIM | ID: wpr-879147

ABSTRACT

Single-cell transcriptome sequencing(scRNA-seq) can be used to analyze the expression characteristics of the transcriptome at the level of individual cell, and discover the heterogeneity of gene expression in individual cell that is "diluted" or averaged in study of group organization. The scRNA-seq, with the characteristics of standardization, high-throughput, and high integration, can greatly simplify the experimental operation and significantly reduce the consumption of reagents. At the same time, a variety of cells are screened and the gene expression patterns are analyzed at the single-cell level to provide a more efficient detection technique and more rich and accurate information for drug research. In the field of traditional Chinese medicine(TCM), the scRNA-seq is still a new technology, but the individual and precision concepts embodied by scRNA-seq and the theory of TCM syndrome differentiation and treatment have reached the same effect between the micro and macro aspects. This study tried to broaden the thinking for the modernization of TCM by introducing the development of scRNA-seq technology and its application in modern drug research and discussing the application prospects of scRNA-seq in TCM research.


Subject(s)
Gene Expression Profiling , Medicine, Chinese Traditional , Reference Standards , Sequence Analysis, RNA , Single-Cell Analysis , Transcriptome
2.
Article in Chinese | WPRIM | ID: wpr-879095

ABSTRACT

The aim of this paper was to explore the key genes and pathogenesis of ischemic stroke(IS) by bioinformatics, and predict the potential traditional Chinese medicines for IS. Based on the gene-chip raw data set of GSE22255 from National Center of Biotechnology Information(NCBI), the article enrolled in 20 patients with ischemic stroke and 20 sex-and age-matched controls, and differentially expressed genes(DEGs) were screened based on R language software. The DAVID tool and R language software were used to perform gene ontology(GO) biological process enrichment analysis and Kyoto encyclopedia of genes and gnomes(KEGG) pathway enrichment analysis. The DEGs were imported into STRING to construct a protein-protein interaction network, and the Molecular Complexity Module(MCODE) plug-in of Cytoscape software was used to visualize and analyze the key functional modules. Moreover, the core genes and the medical ontology information retrieval platform(Coremine Medical) were mapped to each other to screen the traditional Chinese medicines and construct drug-active ingredient-target network. Compared with healthy controls, 14 DEGs were obtained, of which 12 genes were up-regulated and 2 genes were down-regulated. DEGs were mainly involved in immune response, inflammatory process, signal transduction, and cell proliferation regulation. The interleukin-17(IL-17), nuclear factor kappaB(NF-κB), tumor necrosis factor(TNF), nucleotide binding oligomerization domain(NOD)-like receptor and other signaling pathways were involved in KEGG pathway enrichment analysis. The key modules of the DEGs-encoding protein interaction network mainly focused on 7 genes of TNF, JUN, recombinant immediate early response 3(IER3), recombinant early growth response protein 1(EGR1), prostaglandin-endoperoxide synthase 2(PTGS2), C-X-C motif chemokine ligand 8(CXCL8) and C-X-C motif chemokine ligand 2(CXCL2), which were involved in biological processes widely such as neuroinflammation and immunity. TNF and JUN were the key nodes in this module, which might become potential biological markers for diagnosis and prognosis evaluation of IS. The potential traditional Chinese medicines for the treatment of IS includes Salviae Miltiorrhizae Radix et Rhizoma, Croci Stigma, Scutellariae Radix, and Cannabis Fructus. The occurrence of stroke was the result of multiple factors. Dysregulation of genes and pathways related to immune regulation and inflammation may be the key link for the development of IS. This study provided research direction and theoretical basis for further exploring the mechanism of action of traditional Chinese medicine in the treatment of IS and searching for potential drug targets.


Subject(s)
Brain Ischemia , China , Computational Biology , Gene Expression Profiling , Humans , Ischemic Stroke , Medicine, Chinese Traditional , Stroke/genetics
3.
Article in Chinese | WPRIM | ID: wpr-879043

ABSTRACT

Platycodon grandiflorum is a medicinal and edible medicinal material. Our study is aimed to explore the differences in the gene expression of P. grandiflorum in different growth years, and the expression rules of key genes in the biosynthesis of the main active substances of P. grandiflorum. Illumina Hiseq 4000 sequencing platform was used to sequence the transcriptome of P. grandiflorum in different years. Then, 59 654 unigenes were obtained through filtering, assembly, splicing and bioinformatics analysis of the sequencing data, of which 1 671 unigenes were differentially expressed between at least two samples. The results of cluster analysis showed that there was a great difference in the gene expression of P. grandiflorum from one-year-old to two/three-year-old. There were 1 128 different genes between one-and three-year old P. grandiflorum, and only 57 different genes between two-and three-year-old P. grandiflorum. KEGG enrichment results showed that the differential genes of P. grandiflorum in different years were mainly concentra-ted in the biosynthesis of sesquiterpenes and triterpenes, and the biosynthesis of terpenoid skeletons. In the triterpenoid biosynthesis-related pathways, a total of 15 unigenes were identified, involving 5 enzymes. The expression levels of ACAT, HMGR, FDFT1, SQLE decreased with the increase of the growth year of P. grandiflorum. The expression of HMGS was the highest in the one-year-old P. grandiflorum, followed by the three-year-old sample. This study provides useful data for the development of P. grandiflorum, and also provides a basis for the study of related genes in the biosynthetic pathway of platycodin.


Subject(s)
Gene Expression Profiling , Plant Roots , Platycodon/genetics , Saponins , Transcriptome , Triterpenes
4.
Article in Chinese | WPRIM | ID: wpr-879008

ABSTRACT

In order to enrich the transcriptome data of Fagopyrum dibotrys plants, analyze the genes encoding key enzyme involved in flavonoid biosynthesis pathway, and mine their functional genes, in this study, we performed RNA sequencing analysis for the rhizomes, roots, flowers, leaves and stems of F. dibotrys on the BGISEQ-500 sequencing platform. After de novo assembly of transcripts, a total of 205 619 unigenes were generated and 132 372 unigenes were obtained and annotated into seven public databases, of which, 81 327 unigenes were mapped to the GO database and most of the unigenes were annotated in cellular process, biological regulation, binding and catalytic activity. Besides, 86 922 unigenes were enriched in 136 pathways using KEGG database' and we identified 82 unigenes that encodes key enzymes involved in flavonoid biosynthesis. Comparing rhizome with root, flower, leaf or stem in F. dibotrys, 27 962 co-expressed differentially expressed genes(DEGs) were obtained. Among them, 23 515 DEGs of rhizome tissue-specific were enriched into 132 pathways and 13 unigenes were significantly enriched in biosynthesis of flavone and flavonol. In addition, we also identified 3 427 unigenes encoding 60 transcription factor(TFs) families as well as four unigenes encoding bHLH TFs were enriched in flavonoid biosynthesis. Our results greatly enriched the transcriptome database of plants, provided a reference for the analysis of key enzymes involved in flavonoid biosynthesis in plants, and will facilitate the study of the functions and regulatory mechanisms of key enzymes involved in flavonoid biosynthesis in F. dibotrys at the genetic level.


Subject(s)
Biosynthetic Pathways/genetics , Fagopyrum , Flavonoids , Flowers , Gene Expression Profiling , Gene Expression Regulation, Plant , Humans , Transcriptome/genetics
5.
Article in Chinese | WPRIM | ID: wpr-878959

ABSTRACT

Amana edulis is a traditional Chinese medicinal plant with low propagation coefficient. In recent years, the increasing demands of A. edulis lead to a shortage of its wild resources. In order to analyze the expression of related functional genes in A. edulis, the selection of suitable internal reference genes is crucial to improve the accuracy of experimental results. Eight genes(ACT, TUA, CYP, GAPDH, UBQ, UBI, EF1a, UBC)were chosen as candidate reference genes based on the RNA-Seq. Real-time fluorescence quantitative technique was used to detect the expression level of candidate internal reference genes in different organs(bulb, leaf, flo-wer) and stolons at different development stages of A. edulis. Then GeNorm, NormFinder, BestKeeper softwares and RefFinder website were used for a comprehensive analysis of the expression stability of the candidate genes.The results showed that among the 8 candidate reference genes, the variation range of Ct value of UBC was the smallest, and the expression level was stable, which was suitable for an reference gene. GeNorm and NormFinder software analysis showed that UBC and UBI were the optimal reference genes. BestKeeper analysis showed that CYP and UBC expression were relatively stable. Comprehensive evaluation of RefFinder website showed that UBC and UBI were the most stable genes, and ACT displayed the lowest stability in all software evaluation, indicating UBC and UBI were suitable for reference genes. Additionally, the most stable UBC, UBI and the most unstable ACT were used as internal reference genes to detect the expression of GBSS gene in A. edulis, and expression pattern of GBSS gene was the same under the calibration of UBC and UBI. The expression data of GBSS gene confirmed that UBC and UBI genes were reliable for A. edulis qRT-PCR as internal reference genes. The results would benefit future studies on related gene expression of A. edulis.


Subject(s)
Gene Expression Profiling , Gene Expression Regulation, Plant , Genes, Plant/genetics , Real-Time Polymerase Chain Reaction , Reference Standards
6.
Article in Chinese | WPRIM | ID: wpr-878914

ABSTRACT

To select suitable references gene of Polygonum multiflorum for gene expression analysis in different tissues, five candidate reference genes like Actin,GAPDH,SAND,PP2A,TIP41 were selected from the transcriptome data of P. multiflorum, then the specific primers were designed. The expression stability of the five reference genes in different tissues of P. multiflorum was analyzed by Real-time quantitative PCR through avilable analysis methods such as geNorm, NormFinder, BestKeeper, Delta CT and RefFinder, to ensure the reliability of the analysis results. The results showed that there were significant differences in the expression levels and stability of candidate genes in different tissues of P. multiflorum. Ct distribution analysis of the expression levels of candidate genes showed that the expression levels of Actin and GAPDH genes were relatively high in different tissues, while the expression levels of SAND, PP2A and TIP41 were lower. The stability of each candidate gene was analyzed by different methods. The results of geNorm analysis showed that the expression of PP2A and GAPDH was the most stable, the expression stability of SAND was the worst, the stability of PP2A was the highest in both NormFinder and Delta CT, the stability of SAND was the lowest, and the stability of Actin was the most stable in BestKeeper analysis. Through the comprehensive evaluation and analysis of the stability of candidate genes by RefFinder, it is concluded that the stability of PP2A gene is the highest, followed by GAPDH, Actin, TIP41, SAND, and SAND gene is the worst. Therefore, the PP2A gene is an ideal reference gene for the analysis of gene expression in different tissues of P. multiflorum.


Subject(s)
Fallopia multiflora , Gene Expression Profiling , Gene Expression Regulation, Plant , Genes, Plant/genetics , Real-Time Polymerase Chain Reaction , Reference Standards , Reproducibility of Results
7.
Chinese Journal of Biotechnology ; (12): 1260-1276, 2021.
Article in Chinese | WPRIM | ID: wpr-878629

ABSTRACT

The unicellular green alga Haematococcus pluvialis is the best source of natural astaxanthin (AST) in the world due to its high content under stress conditions. Although high light (HL) can effectively induce AST biosynthesis, the specific mechanisms of light signal perception and transduction are unclear. In the current study, we used transcriptomic data of normal (N), high white light (W), and high blue light (B) to study the mechanisms of light inducing AST accumulation from the point of photoreceptors. The original data of 4.0 G, 3.8 G, and 3.6 G for N, W, and B were obtained, respectively, by the Illumina Hi-seq 2000 sequencing technology. Totally, 51 954 unigenes (at least 200 bp in length) were generated, of which, 20 537 unigenes were annotated into at least one database (NR, NT, KO, SwissProt, Pfam, GO, or KOG). There were 1 255 DEGs in the W vs N, 1 494 DEGs in the B vs N, and 1 008 DEGs in the both W vs N and B vs N. KEGG enrichment analysis revealed that photosynthesis, oxidative phosphorylation, carotenoid biosynthesis, fatty acids biosynthesis, DNA replication, nitrogen metabolism, and carbon metabolism were the significantly enriched pathways. Moreover, a large number of genes encoding photoreceptors and predicted interacting proteins were predicted in Haematococcus transcriptome data. These genes showed significant differences at transcriptional expression levels. In addition, 15 related DEGs were selected and tested by qRT-PCR and the results were significantly correlated with the transcriptome data. The above results indicate that the signal transduction pathway of "light signal - photoreceptors - interaction proteins - (interaction proteins - transcription factor/transcriptional regulator) - gene expression - AST accumulation" might play important roles in the regulation process, and provide reference for further understanding the transcriptional regulation mechanisms of AST accumulation under HL stress.


Subject(s)
Chlorophyta/genetics , Gene Expression Profiling , Signal Transduction/genetics , Transcriptome/genetics , Xanthophylls
8.
Chinese Journal of Biotechnology ; (12): 253-265, 2021.
Article in Chinese | WPRIM | ID: wpr-878559

ABSTRACT

Based on observing the cytological characteristics of the flower buds of the functional male sterile line (S13) and the fertile line (F142) in eggplant, it was found that the disintegration period of the annular cell clusters in S13 anther was 2 days later than that of F142, and the cells of stomiun tissue and tapetum in F142 disintegrated on the blooming day, while it did not happen in S13. The comparative transcriptomic analysis showed that there were 1 436 differential expression genes (DEGs) (651 up-regulated and 785 down-regulated) in anthers of F142 and S13 at 8, 5 days before flowering and flowering day. The significance analysis of GO enrichment indicated that there were more unigene clusters involved in single cell biological process, metabolism process and cell process, and more catalytic activity and binding function were involved in molecular functions. Through KEGG annotation we found that the common DEGs were mainly enriched in the biosynthesis of secondary metabolites, metabolic pathway, protein processing in endoplasmic reticulum, biosynthesis of amino acids, carbon metabolism and plant hormone signal transduction. The fifteen genes co-expression modules were identified from 16 465 selected genes by weighted gene co-expression network analysis (WGCNA), three of which (Plum2, Royalblue and Bisque4 modules) were highly related to S13 during flower development. KEGG enrichment showed that the specific modules could be enriched in phenylpropanoid biosynthesis, photosynthesis, porphyrin and chlorophyll metabolism, α-linolenic acid metabolism, polysaccharide biosynthesis and metabolism, fatty acid degradation and the mutual transformation of pentose and glucuronic acid. These genes might play important roles during flower development of S13. It provided a reference for further study on the mechanism of anther dehiscence in eggplant.


Subject(s)
Flowers/genetics , Gene Expression Profiling , Gene Expression Regulation, Plant , Humans , Infertility, Male , Male , Metabolic Networks and Pathways/genetics , Solanum melongena/genetics , Transcriptome/genetics
9.
Article in Chinese | WPRIM | ID: wpr-880825

ABSTRACT

OBJECTIVE@#To study the changes in mRNA and long non-coding RNA (lncRNA) expression profiles in a mouse model of bleomycin-induced lung fibrosis and identify lung fibrosis-related mRNA for coding-noncoding coexpression (CNC) bioinformatics analysis of the differential lncRNAs.@*METHODS@#Lung fibrosis was induced by intratracheal injection of bleomycin in 10 C57BL/6 mice and another 10 mice with intratracheal injection of saline served as the control group. Lung tissues were harvested from the mice at 14 days after the injections and lung fibrosis was assessed using Masson and HE staining. LncRNA chip technology was used to screen the differentially expressed mRNAs and lncRNAs in mice with lung fibrosis, and GO and KEGG pathway analyses of the differential mRNAs were performed using NCBI database and UCSC database to identify possible fibrosis-related mRNAs, which were validated by qRT-PCR to construct a coding and non-coding co- expression network with the differential lncRNAs.@*RESULTS@#Compared with the control mice, the mice with intratracheal injection of bleomycin showed obvious lung fibrosis. The results of gene chip analysis showed that 127 mRNAs were upregulated and 184 mRNAs were down-regulated in the model group as compared with the control group. GO and pathway analysis suggested that the differentially expressed genes participated mainly in immune response, cell differentiation, and cytoskeletons; the involved signal pathways were associated mainly with cytokine and cytokine receptor interaction and chemokine signal transduction. Bioinformatics analysis identified a significant coexpression network between the fibrosisrelated mRNA and the differentially expressed lncRNA.@*CONCLUSIONS@#In mice with lung fibrosis, the differential expressions of fibrosis-related mRNAs in the lung tissues are closely correlated with the co- expressions of a large number of differential lncRNAs, which points to a new direction for investigation of the pathogenesis of pulmonary fibrosis.


Subject(s)
Animals , Bleomycin/toxicity , Gene Expression Profiling , Gene Regulatory Networks , Mice , Mice, Inbred C57BL , Pulmonary Fibrosis/genetics , RNA, Long Noncoding/genetics , RNA, Messenger/genetics
10.
Article in English | WPRIM | ID: wpr-880665

ABSTRACT

OBJECTIVES@#To analyze the differentially expressed genes (DEGs) with radiation-induced rat lung injury, and to reveal the protective mechanism for mild hypothermia in the radiation-induced lung injury in rats at the transcriptome level.@*METHODS@#A total of 10 male SD rats aged 6-8 weeks were randomly divided into 2 groups to establish a rat model of radiation-induced lung injury, and one group was treated with mild hypothermia. RNA was extracted from left lung tissue of each group, and sequenced by BGISEQ-500 platform. Significance analysis of DEGs was carried out by edgeR software. Gene ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were used to analyze the gene function. Then 5 key DEGs were verified by real-time reverse transcription PCR (real-time RT-PCR).@*RESULTS@#There were 2 790 DEGs (false discovery rate<0.001, |log@*CONCLUSIONS@#The DEGs and pathways related to mild hypothermia protection against radiation-induced lung injury in rats are obtained, which provides an experimental basis for the protection of mild hypothermia against radiation-induced lung injury.


Subject(s)
Animals , Gene Expression Profiling , Hypothermia , Lung Injury , Male , RNA-Seq , Rats , Rats, Sprague-Dawley , Transcriptome
11.
Article in English | WPRIM | ID: wpr-880615

ABSTRACT

OBJECTIVES@#To study the gene expression of adipose tissue CD14@*METHODS@#The data of GSE54350 were obtained from the public database of gene expression profiling. The data were pre-processed by Network Analyst, String 11.0, Cytoscape 3.7.1, and other analytical software. The differentially expressed genes were analyzed by gene ontology biological function and kyoto encycopedia of genes and genomes (KEGG) signaling pathway to establish differential gene protein interaction network, transcription factor-gene regulatory network, microRNA-gene regulatory network, environmental factors-gene regulatory network, and other interaction systems.@*RESULTS@#The gene expression pattern of CD14@*CONCLUSIONS@#The gene expression of adipose tissue CD14


Subject(s)
Adipose Tissue , Computational Biology , DNA-Binding Proteins , Diabetes Mellitus, Type 2/genetics , Gene Expression , Gene Expression Profiling , Gene Regulatory Networks , Humans , MicroRNAs/genetics , Muscle Proteins
12.
Article in Chinese | WPRIM | ID: wpr-880142

ABSTRACT

OBJECTIVE@#To analyze gene expression profile of T cell lymphoma Jurkat cell line treated with paclitaxel by computational biology based on next generation sequencing and to explore the possible molecular mechanism of paclitaxel resistance to T cell lymphoma at gene level.@*METHODS@#IC50 of paclitaxel on Jurkat cell line was determined by CCK-8 assay. Gene expression profile of Jurkat cells treated with paclitaxel was acquired by next generation sequencing technology. Gene microarray data related to human T cell lymphoma were screened from Gene Expression Omnibus (GEO) database (including 720 cases of T cell lymphoma and 153 cases of normal tissues). Combined with the sequencing data, differential expression genes (DEGs) were intersected and screened. DAVID database was used for enrichment analysis of GO function and KEGG pathway to determine and visualize functional entries of DEGs, and protein-protein interactions network of DEGs was drawn. The levels of gene expression were detected and verified by RT-qPCR.@*RESULTS@#CCK-8 results showed that the proliferation of Jurkat cells was inhibited by paclitaxel depended on the concentration apparently. Treated by paclitaxel for 48 h, P<0.05 and |log2(FC)|≥1 were used as filter criteria on the results of RNA Sequencing (RNA-Seq) and GeoChip, 351 DEGs were found from Jurkat cells, including 323 up-regulated genes and 28 down-regulated genes. The GO functional annotation and KEGG pathway enrichment analysis showed that the role of paclitaxel was mainly concentrated in protein heterodimerization activity, nucleosome assembly and transcriptional dysregulation in cancer, etc. The results of RT-qPCR were consistent with those of the sequencing analysis, which verified the reliability of this sequencing.@*CONCLUSION@#Paclitaxel can affect the proliferation and apoptosis of T-cell lymphoma by up-regulating JUN gene, orphan nuclear receptor NR4A family genes and histone family genes.


Subject(s)
Computational Biology , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , High-Throughput Nucleotide Sequencing , Humans , Lymphoma, T-Cell , Paclitaxel , Reproducibility of Results
13.
Braz. j. med. biol. res ; 54(3): e10152, 2021. tab, graf
Article in English | LILACS | ID: biblio-1153522

ABSTRACT

The goal of this study was to identify potential transcriptomic markers in pediatric septic shock prognosis by an integrative analysis of multiple public microarray datasets. Using the R software and bioconductor packages, we performed a statistical analysis to identify differentially expressed (DE) genes in pediatric septic shock non-survivors, and further performed functional interpretation (enrichment analysis and co-expression network construction) and classification quality evaluation of the DE genes identified. Four microarray datasets (3 training datasets and 1 testing dataset, 252 pediatric patients with septic shock in total) were collected for the integrative analysis. A total of 32 DE genes (18 upregulated genes; 14 downregulated genes) were identified in pediatric septic shock non-survivors. Enrichment analysis revealed that those DE genes were strongly associated with acute inflammatory response to antigenic stimulus, response to yeast, and defense response to bacterium. A support vector machine classifier (non-survivors vs survivors) was also trained based on DE genes. In conclusion, the DE genes identified in this study are suggested as candidate transcriptomic markers for pediatric septic shock prognosis and provide novel insights into the progression of pediatric septic shock.


Subject(s)
Humans , Child , Shock, Septic/diagnosis , Shock, Septic/genetics , Transcriptome , Biomarkers , Computational Biology , Gene Expression Profiling , Microarray Analysis
14.
Braz. j. med. biol. res ; 54(11): e11372, 2021. tab, graf
Article in English | LILACS | ID: biblio-1339455

ABSTRACT

Immune-mediated inflammation plays a key role in the pathology of abdominal aortic aneurysm (AAA). We aimed to use a computational approach to profile the immune infiltration patterns and related core genes in AAA samples based on the overexpression of gene signatures. The microarray datasets of AAA and normal abdominal tissues were acquired from gene expression omnibus (GEO) database. We evaluated the composition of immune infiltrates through microenvironment cell populations (MCP)-counter. Weighted gene correlation network analysis (WGCNA) was employed to construct the co-expression network and extract gene information in the most relevant module. Functional and pathway enrichment analysis was performed and immune infiltration related core genes were screened. AAA tissues had a higher level of infiltration by cytotoxic lymphocytes, NK cells, T cells, fibroblasts, myeloid dendritic cells, and neutrophils than normal aorta. The red module was strongly correlated with the infiltrating levels of T cells and cytotoxic lymphocytes. Gene ontology (GO) and pathway analyses revealed that genes in the most relevant module were mainly enriched in T cell activation, regulation of lymphocyte activation, cytokine-cytokine receptor interaction, and chemokine signaling pathway, etc. The expression of GZMK, CCL5, GZMA, CD2, and EOMES showed significant correlations with cytotoxic lymphocytes, while CD247, CD2, CD6, RASGRP1, and CD48 expression were positively associated with T cell infiltration. In conclusion, we comprehensively analyzed profiles of infiltrated immune cells in AAA tissues and their associated marker genes. Our data may provide a novel clue to indicate the underlying molecular mechanisms of AAA formation in terms of immune infiltration.


Subject(s)
Humans , Aortic Aneurysm, Abdominal/genetics , Biomarkers , Gene Expression Profiling , Transcriptome , Gene Ontology
15.
Mem. Inst. Oswaldo Cruz ; 116: e200326, 2021. tab, graf
Article in English | LILACS | ID: biblio-1250363

ABSTRACT

BACKGROUND Schistosomiasis is a disease caused by Schistosoma. Due to its complex life cycle, evolutionary position and sexual dimorphism, schistosomes have several mechanisms of gene regulation. MicroRNAs (miRNAs) are short endogenous RNAs that regulate gene expression at the post-transcriptional level by targeting mRNA transcripts. OBJECTIVES Here, we tested 12 miRNAs and identified their putative targets using a computational approach. METHODS We performed the expression profiles of a set of miRNAs and their putative targets during the parasite's life cycle by quantitative reverse transcription-polymerase chain reaction (qRT-PCR). FINDINGS Our results showed differential expression patterns of the mature miRNAs sma-miR-250; sma-miR-92a; sma-miR-new_4-3p; sma-miR-new_4-5p; sma-miR-new_5-5p; sma-miR-new_12-5p; sma-miR-new_13-3p and sma-miR-new_13-5p. Interestingly, many of the putative target genes are linked to oxidative phosphorylation and are up-regulated in adult-worms, which led us to suggest that miRNAs might play important roles in the post-transcriptional regulation of genes related to energetic metabolism inversion during parasite development. It is noteworthy that the expression of sma-miR-new_13-3p exhibited a negative correlation on SmNADH:ubiquinone oxidoreductase complex I. MAIN CONCLUSIONS Our analysis revealed putative miRNA genes related to important biological processes, such as transforming growth factor beta (TGF-β) signaling, proteasome regulation, glucose and lipid metabolism, immune system evasion and transcriptional regulation.


Subject(s)
Animals , MicroRNAs/genetics , Schistosoma mansoni/genetics , Signal Transduction , Gene Expression Regulation/genetics , Gene Expression Profiling , Life Cycle Stages/genetics
16.
Braz. j. med. biol. res ; 54(7): e10388, 2021. tab
Article in English | LILACS | ID: biblio-1249319

ABSTRACT

Clinically relevant biomarkers are useful to determine cancer patients' prognosis and treatments. To discover new putative biomarkers, we performed in silico analysis of a 325-gene panel previously associated with breast epithelial cell biology and clinical outcomes. Sixteen public datasets of microarray samples representing 8 cancer types and a total of 3,663 patients' samples were used for the analyses. Feature selection was used to identify the best subsets of the 325 genes for each classification, and linear discriminant analysis was used to quantify the accuracy of the classifications. A subset of 102 of the 325 genes were found to be housekeeping (HK) genes, and the classifications were repeated using only the 102 HK subset. The 325-gene panel and 102 HK subset were able to distinguish colon, gastric, lung, ovarian, pancreatic, and prostate tumors and leukemia from normal adjacent tissue, and classify disease subtypes of breast and lung cancers and leukemia with 70% or higher accuracy. HK genes have been overlooked as potential biomarkers due to their relative stability. This study describes a set of HK genes as putative biomarkers applicable to multiple cancer types worth following in subsequent validation studies.


Subject(s)
Humans , Male , Breast Neoplasms/genetics , Gene Expression Profiling , Phenotype , Biomarkers, Tumor/genetics , Gene Expression Regulation, Neoplastic , Oligonucleotide Array Sequence Analysis , Genes, Essential
17.
Braz. j. med. biol. res ; 54(7): e10612, 2021. tab, graf
Article in English | LILACS | ID: biblio-1249314

ABSTRACT

Genomic studies have provided insights into molecular subgroups and oncogenic drivers of pediatric brain tumors (PBT) that may lead to novel therapeutic strategies. Participants of the cohort Pediatric Brain Tumor Atlas: CBTTC (CBTTC cohort), were randomly divided into training and validation cohorts. In the training cohort, Kaplan-Meier analysis and univariate Cox regression model were applied to preliminary screening of prognostic genes. The LASSO Cox regression model was implemented to build a multi-gene signature, which was then validated in the validation and CBTTC cohorts through Kaplan-Meier, Cox, and receiver operating characteristic curve (ROC) analyses. Also, gene set enrichment analysis (GSEA) and immune infiltrating analyses were conducted to understand function annotation and the role of the signature in the tumor microenvironment. An eight-gene signature was built, which was examined by Kaplan-Meier analysis, revealing that a significant overall survival difference was seen, either in the training or validation cohorts. The eight-gene signature was further proven to be independent of other clinic-pathologic parameters via the Cox regression analyses. Moreover, ROC analysis demonstrated that this signature owned a better predictive power of PBT prognosis. Furthermore, GSEA and immune infiltrating analyses showed that the signature had close interactions with immune-related pathways and was closely related to CD8 T cells and monocytes in the tumor environment. Identifying the eight-gene signature (CBX7, JADE2, IGF2BP3, OR2W6P, PRAME, TICRR, KIF4A, and PIMREG) could accurately identify patients' prognosis and the signature had close interactions with the immunodominant tumor environment, which may provide insight into personalized prognosis prediction and new therapies for PBT patients.


Subject(s)
Humans , Child , Brain Neoplasms/genetics , Gene Expression Profiling , Prognosis , Gene Expression Regulation, Neoplastic , Cell Cycle Proteins , Kaplan-Meier Estimate , Tumor Microenvironment , Polycomb Repressive Complex 1
18.
Rev. Assoc. Med. Bras. (1992) ; 66(6): 778-783, June 2020. graf
Article in English | LILACS, SES-SP | ID: biblio-1136274

ABSTRACT

SUMMARY OBJECTIVE This study aimed to propose a co-expression-network (CEN) based gene functional inference by extending the "Guilt by Association" (GBA) principle to predict candidate gene functions for type 1 diabetes mellitus (T1DM). METHODS Firstly, transcriptome data of T1DM were retrieved from the genomics data repository for differentially expressed gene (DEGs) analysis, and a weighted differential CEN was generated. The area under the receiver operating characteristics curve (AUC) was chosen to determine the performance metric for each Gene Ontology (GO) term. Differential expression analysis identified 325 DEGs in T1DM, and co-expression analysis generated a differential CEN of edge weight > 0.8. RESULTS A total of 282 GO annotations with DEGs > 20 remained for functional inference. By calculating the multifunctionality score of genes, gene function inference was performed to identify the optimal gene functions for T1DM based on the optimal ranking gene list. Considering an AUC > 0.7, six optimal gene functions for T1DM were identified, such as regulation of immune system process and receptor activity. CONCLUSIONS CEN-based gene functional inference by extending the GBA principle predicted 6 optimal gene functions for T1DM. The results may be potential paths for therapeutic or preventive treatments of T1DM.


RESUMO OBJETIVO O objetivo deste estudo é realizar uma inferência funcional genética baseada na rede de coexpressão (CEN), expandindo o escopo do princípio de "Culpa por Associação" (GBA - Guilt by Association) para prever as funções genéticas do diabetes mellitus tipo 1 (T1DM). MÉTODOS Primeiro, os dados transcritos do T1DM foram recuperados do repositório de dados genômicos para a análise dos genes diferenciais (DEGs), e foi gerada uma CEN diferencial ponderada. A área sob a curva ROC (AUC) foi escolhida para determinar a métrica de desempenho para cada termo de Ontologia Genética (GO). A análise da expressão diferencial identificou 325 DEGs no T1DM, e a análise de coexpressão gerou uma CEN diferencial com aresta de peso >0,8. RESULTADOS Um total de 282 anotações de GO com DEGs >20 foram mantidas para inferência funcional. Ao calcular a pontuação de multifuncionalidade dos genes, a inferência da função genética foi realizada para identificar as funções genéticas ideais para T1DM com base na lista de classificação genética ideal. Considerando um valor de AUC >0,7, foram identificadas seis funções genéticas ideais para a T1DM, tais como a regulação do processo imunológico e da atividade dos receptores. CONCLUSÕES A inferência funcional genética baseada em CEN, ao expandir o princípio de GBA, previu seis funções genéticas ideais para o T1DM. Os resultados podem ser caminhos potenciais para tratamentos terapêuticos ou preventivos do T1DM.


Subject(s)
Humans , Diabetes Mellitus, Type 1/genetics , Biomarkers , ROC Curve , Gene Expression Profiling , Transcriptome
19.
J. venom. anim. toxins incl. trop. dis ; 26: e20190058, 2020. tab, graf
Article in English | ID: biblio-1135137

ABSTRACT

Lack of complete genomic data of Bothrops jararaca impedes molecular biology research focusing on biotechnological applications of venom gland components. Identification of full-length coding regions of genes is crucial for the correct molecular cloning design. Methods: RNA was extracted from the venom gland of one adult female specimen of Bothrops jararaca. Deep sequencing of the mRNA library was performed using Illumina NextSeq 500 platform. De novo assembly of B. jararaca transcriptome was done using Trinity. Annotation was performed using Blast2GO. All predicted proteins after clustering step were blasted against non-redundant protein database of NCBI using BLASTP. Metabolic pathways present in the transcriptome were annotated using the KAAS-KEGG Automatic Annotation Server. Toxins were identified in the B. jararaca predicted proteome using BLASTP against all protein sequences obtained from Animal Toxin Annotation Project from Uniprot KB/Swiss-Pro database. Figures and data visualization were performed using ggplot2 package in R language environment. Results: We described the in-depth transcriptome analysis of B. jararaca venom gland, in which 76,765 de novo assembled isoforms, 96,044 transcribed genes and 41,196 unique proteins were identified. The most abundant transcript was the zinc metalloproteinase-disintegrin-like jararhagin. Moreover, we identified 78 distinct functional classes of proteins, including toxins, inhibitors and tumor suppressors. Other venom proteins identified were the hemolytic lethal factors stonustoxin and verrucotoxin. Conclusion: It is believed that the application of deep sequencing to the analysis of snake venom transcriptomes may represent invaluable insight on their biotechnological potential focusing on candidate molecules.(AU)


Subject(s)
Animals , Bothrops , Bothrops/physiology , Proteome , Crotalid Venoms , Gene Expression Profiling , Metalloproteases , Transcriptome , Molecular Biology , Cluster Analysis , High-Throughput Nucleotide Sequencing
20.
Chinese Journal of Biotechnology ; (12): 1323-1333, 2020.
Article in Chinese | WPRIM | ID: wpr-826844

ABSTRACT

The aim of this study was to investigate the expression of MHCⅠ gene in different tissues of Rana dybowskii under the stress of Aeromonas hydrophila (Ah), and to provide evidence for revealing the anti-infective immune response mechanism of amphibians. The experimental animal model of Aeromonas hydrophila infection was first constructed, and the pathological changes were observed by HE staining. The MHCⅠ gene α1+α2 peptide binding region of Rana dybowskii was cloned by RT-PCR and analyzed by bioinformatics. Real-time PCR was used to detect the transcription level of MHCⅠ in different tissues under Ah stress. After Ah infection, the skin, liver and muscle tissues showed signs of cell structure disappearance and texture disorder. The MHCⅠ gene α1+α2 peptide binding region fragment was 494 bp, encoding 164 amino acids, and homology with amphibians. Above 77%, the homology with mammals was as low as 14.96%, indicating that the α1+α2 region of MHC gene was less conserved among different species. The results of real-time PCR show that the liver, spleen and kidney of the experimental group were under Ah stress. The transcript levels of MHCⅠ gene in skin and muscle tissues were higher than those in the control group at 72 h, but the time to peak of each tissue was different (P<0.01), indicating that the response time of MHCⅠ gene in different tissues was different under Ah stress. This study provides a reference for further exploring the immune function of MHC molecules in anti-infection.


Subject(s)
Aeromonas hydrophila , Animals , Gene Expression Profiling , Gene Expression Regulation , Allergy and Immunology , Gram-Negative Bacterial Infections , Allergy and Immunology , Liver , Metabolism , Ranidae , Genetics , Allergy and Immunology , Microbiology , Skin , Metabolism
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