Ontology highlight
ABSTRACT:
PROVIDER: PRJNA427476 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:1. Evaluate the diagnostic value of long noncoding RNA (CCAT1) expression by RT-PCR in peripheral blood in colorectal cancer patients versus normal healthy control personal.
2. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in diagnosis of colorectal cancer patients & its relation to tumor staging.
3. Evaluate the clinical utility of detecting long noncoding RNA (CCAT1) expression in precancerous colorectal diseases.
4. Compare long noncoding RNA (CCAT1) expression with traditional marker; carcinoembryonic antigen (CEA) and Carbohydrate antigen 19-9 (CA19-9) in diagnosis of colorectal cancer.
| 2330122 | ecrin-mdr-crc
Project description:Backfat thickness is one of the most important traits of commercially raised pigs. Meishan pigs are renowned for having thicker backfat than Landrace pigs. To examine the genetic factors responsible for the differences, we first produced female crossbred pig lines by mating Landrace (L) × Large White (W) × Duroc (D) females (LWD) with Landrace (L) or Meishan (M) boars (i.e., LWD × L = LWDL for Landrace offspring and LWD × M = LWDM of the Meishan offspring). We confirmed that LWDM pigs indeed had a thicker backfat than LWDL pigs. Next, we performed gene expression microarray analysis (in both genetic lines) to examine differentially expressed genes (DEGs) in energy metabolism-related tissues, subcutaneous adipose (fat), liver, and longissimus dorsi muscle tissues. We analyzed the annotation of DEGs (2-fold cutoff) to functionally categorize them by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The number of DEGs in muscle tissues of both lines was much less than that in fat and liver tissues, indicating that DEGs was much lesser in muscle tissues (in both genetic lines) than in fat and liver tissues, thus indicating that DEGs in muscle tissues may not contribute much to differences in backfat thickness. In contrast, several genes related to muscle (in fat tissue) and fatty acid and glucose metabolism (in the liver) were more upregulated in LWDM pigs than LWDL pigs, indicating that those DEGs might be responsible for differences in backfat thickness. The different genome-wide, gene expression profiles in the fat, liver, and muscle tissues between breeds can provide useful information for pig breeders.
2018-09-06 | GSE97711 | GEO
Project description:Fat deposition is a prominent economic trait and complex process in pigs. Ningxiang pig, one of the four famous indigenous breeds in China, is characterized by high fat content. The underlying gene expression pattern in different developmental periods of backfat tissue remains unclear, and the purpose of this investigation is to explore the potential molecular regulators of backfat tissue development in Ningxiang pigs. Histological analysis of backfat tissue showed that adipocyte area increased and adipocyte number decreased with the development of backfat tissue in different stages (60d, 120d, 180d, 240d, 300d, and 360d). Meanwhile, a total of 1024 differentially expressed genes were identified in five comparison groups (120d vs 60d, 180d vs 120d, 240d vs 180d, 300d vs 240d, and 360d vs 300d). And then strongly co-expressed genes in modules were clustered by Weighted gene co-expression network analysis (WGCNA). Among these modules, turquoise, red, pink, paleturquoise, darkorange, and darkgreen module had close correlation with 60d, 120d, 180d, 240d, 300d, and 360d developmental stage, respectively, while tan, black and turquoise module had intimate relation with backfat thickness, adipocyte area and adipocyte number, respectively. Furthermore, GO and KEGG enrichment were analyzed in each module, the gene co-expression network was constructed, and the hub genes were described. According to the co-expression network, 13 genes (ACSL1, ACOX1, FN1, DCN, CHST13, COL1A1, COL1A2, COL6A3, COL5A1, COL14A1, OAZ3, DNM1, and SELP) were recognized as hub genes. Further analysis revealed that ACSL1 and ACOX1 might perform considerable function in early developmental stage of backfat tissue before 60d. FN1, DCN, COL1A1, COL1A2, COL5A1, COL6A3, and COL14A1 have unignorable position around 120d developmental stage. Besides, the functional relevance associated with SELP and backfat thickness, DNM1 and adipocyte area needs to be elucidated. In addition, QCR analysis validated the strong consistency of genes expressions with RNA-seq data, manifesting the reliability and accuracy of our study. The present research preliminarily depicted the gene co-expression network for each period of backfat developmental stage in Ningxiang pigs, which not only help to understand the integrated mechanism underlying backfat tissue development and lipid metabolism, but also promotes the progress of genetic improvement in pigs.
2023-08-10 | GSE234796 | GEO
Project description:Purpose: This study conducted RNA-Seq analysis on Dingyuan pig individuals with different intramuscular fat content and backfat thickness, in order to find genes that specifically regulate subcutaneous fat and intramuscular fat deposition in pigs
2021-07-08 | GSE179457 | GEO
Project description:The identification of the molecular mechanisms regulating pathways associated to the potential of fat deposition in pigs can lead to the detection of key genes and markers for the genetic improvement of fat traits. MicroRNAs (miRNAs) interactions with target RNAs regulate gene expression and modulate pathway activation in cells and tissues. In pigs, miRNA discovery is well far from saturation and the knowledge of miRNA expression in backfat tissue and particularly of the impact of miRNA variations are still fragmentary. We characterized by RNA-seq the small RNAs (sRNAs) expression profiles in Italian Large White pig backfat tissue. Comparing two groups of pigs divergent for backfat deposition, we detected 31 significant differentially expressed (DE) sRNAs, 14 up-regulated (including ssc-miR-132 ,ssc-miR-146b, ssc-miR-221-5p, ssc-miR-365-5p, and the moRNA ssc-moR-21-5p) and 17 down-regulated (including ssc-miR-136, ssc-miR-195, ssc-miR-199a-5p, and ssc-miR-335). To understand the biological impact of the observed miRNA expression variations, we used the expression correlation of DE miRNA target transcripts expressed in the same samples to define a regulatory network of 193 interactions between DE miRNAs and 40 DE target transcripts showing opposite expression profiles and being involved in specific pathways. Several miRNAs and mRNAs in the network resulted to be expressed from backfat related pig QTLs. These results are informative on the complex mechanisms influencing fat traits, shed light on a new aspect of the genetic regulation of fat deposition in pigs, and facilitate the perspective implementation of innovative strategies of pig genetic improvement based on genomic markers.
2018-08-31 | GSE108829 | GEO
Project description:Long noncoding RNA HITT coordinates with RGS2 to inhibit PD-L1 translation in T cell immunity
2022-12-28 | PXD039107 |
Project description:We firstly compared the expression file of circRNAs, mRNAs and lncRNAs in backfat between the castrated and intact Huainan male pigs to identify the key circRNAs, mRNAs and lncRNAs involved in the genetic basis of castration associated fat deposition.
2019-10-08 | GSE87846 | GEO
Project description:In pigs, adipose tissue is one of the principal organs involved in the regulation of lipid metabolism. It is particulary involved in the overall fatty acid synthesis with consequences in other lipid-target organs such as muscles and the liver. With this in mind, we have used massive, parallel high-throughput sequencing technologies to characterize the porcine adipose tissue transcriptome architecture in six Iberian x Landrace crossbred pigs showing extreme phenotypes for intramuscular fatty acid composition (three per group). High-throughput RNA sequencing was used to generate a whole characterization of adipose tissue (backfat) transcriptome. A total of 4,130 putative unannotated protein-coding sequences were identified in the 20% of reads which mapped in intergenic regions. Furthermore, 36% of the unmapped reads were represented by interspersed repeats, SINEs being the most abundant elements. Differential expression analyses identified 396 candidate genes among divergent animals for intramuscular fatty acid composition. Sixty-two percent of these genes (247/396) presented higher expression in the group of pigs with higher content of intramuscular SFA and MUFA, while the remaining 149 showed higher expression in the group with higher content of PUFA. Pathway analysis related these genes to biological functions and canonical pathways controlling lipid and fatty acid metabolisms. In concordance with the phenotypic classification of animals, the major metabolic pathway differentially modulated between groups was de novo lipogenesis, the group with more PUFA being the one that showed lower expression of lipogenic genes. These results will help in the identification of genetic variants at loci that affect fatty acid composition traits. The implications of these results range from the improvement of porcine meat quality traits to the application of the pig as an animal model of human metabolic diseases. The supplementary files contains the five arrays reported in the paper. Backfat from five animals were assayed with high-density oligonucleotide microarray chips (GeneChipM-BM-. Porcine) from Affymetrix, in order to validate RNA-Seq data.
2014-03-31 | E-GEOD-52012 | biostudies-arrayexpress
Project description:We report the application of Illumina RNA sequencing for characterization and discovery of genes and transcripts in Italian Large Whtie pig backfat tissue. RNAs sequencing for long RNA quantification, discovery, characterisation and differential expression evaluation.
2016-03-15 | E-GEOD-68007 | biostudies-arrayexpress