Dataset Information

Systematic Identification of Housekeeping Genes Possibly Used as References in Caenorhabditis elegans by Large-Scale Data Integration.

ABSTRACT: For accurate gene expression quantification, normalization of gene expression data against reliable reference genes is required. It is known that the expression levels of commonly used reference genes vary considerably under different experimental conditions, and therefore, their use for data normalization is limited. In this study, an unbiased identification of reference genes in Caenorhabditis elegans was performed based on 145 microarray datasets (2296 gene array samples) covering different developmental stages, different tissues, drug treatments, lifestyle, and various stresses. As a result, thirteen housekeeping genes (rps-23, rps-26, rps-27, rps-16, rps-2, rps-4, rps-17, rpl-24.1, rpl-27, rpl-33, rpl-36, rpl-35, and rpl-15) with enhanced stability were comprehensively identified by using six popular normalization algorithms and RankAggreg method. Functional enrichment analysis revealed that these genes were significantly overrepresented in GO terms or KEGG pathways related to ribosomes. Validation analysis using recently published datasets revealed that the expressions of newly identified candidate reference genes were more stable than the commonly used reference genes. Based on the results, we recommended using rpl-33 and rps-26 as the optimal reference genes for microarray and rps-2 and rps-4 for RNA-sequencing data validation. More importantly, the most stable rps-23 should be a promising reference gene for both data types. This study, for the first time, successfully displays a large-scale microarray data driven genome-wide identification of stable reference genes for normalizing gene expression data and provides a potential guideline on the selection of universal internal reference genes in C. elegans, for quantitative gene expression analysis.

SUBMITTER: Tao J

PROVIDER: S-EPMC7140892 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Systematic Identification of Housekeeping Genes Possibly Used as References in <i>Caenorhabditis elegans</i> by Large-Scale Data Integration.

Tao Jingxin J Hao Youjin Y Li Xudong X Yin Huachun H Nie Xiner X Zhang Jie J Xu Boying B Chen Qiao Q Li Bo B

Cells 20200324 3

For accurate gene expression quantification, normalization of gene expression data against reliable reference genes is required. It is known that the expression levels of commonly used reference genes vary considerably under different experimental conditions, and therefore, their use for data normalization is limited. In this study, an unbiased identification of reference genes in <i>Caenorhabditis elegans</i> was performed based on 145 microarray datasets (2296 gene array samples) covering diff ...[more]

PMID: 32213971

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Project description:The ideal reference, or control, gene for the study of gene expression in a given organism should be expressed at a medium‑high level for easy detection, should be expressed at a constant/stable level throughout different cell types and within the same cell type undergoing different treatments, and should maintain these features through as many different tissues of the organism. From a biological point of view, these theoretical requirements of an ideal reference gene appear to be best suited to housekeeping (HK) genes. Recent advancements in the quality and completeness of human expression microarray data and in their statistical analysis may provide new clues toward the quantitative standardization of human gene expression studies in biology and medicine, both cross‑ and within‑tissue. The systematic approach used by the present study is based on the Transcriptome Mapper tool and exploits the automated reassignment of probes to corresponding genes, intra‑ and inter‑sample normalization, elaboration and representation of gene expression values in linear form within an indexed and searchable database with a graphical interface recording quantitative levels of expression, expression variability and cross‑tissue width of expression for more than 31,000 transcripts. The present study conducted a meta‑analysis of a pool of 646 expression profile data sets from 54 different human tissues and identified actin γ 1 as the HK gene that best fits the combination of all the traditional criteria to be used as a reference gene for general use; two ribosomal protein genes, RPS18 and RPS27, and one aquaporin gene, POM121 transmembrane nucleporin C, were also identified. The present study provided a list of tissue‑ and organ‑specific genes that may be most suited for the following individual tissues/organs: Adipose tissue, bone marrow, brain, heart, kidney, liver, lung, ovary, skeletal muscle and testis; and also provides in these cases a representative, quantitative portrait of the relative, typical gene‑expression profile in the form of searchable database tables.

Project description:Accurate identification of synteny blocks is an important step in comparative genomics towards the understanding of genome architecture and expression. Most computer programs developed in the last decade for identifying synteny blocks have limitations. To address these limitations, we recently developed a robust program called OrthoCluster, and an online database OrthoClusterDB. In this work, we have demonstrated the application of OrthoCluster in identifying synteny blocks between the genomes of Caenorhabditis elegans and Caenorhabditis briggsae, two closely related hermaphrodite nematodes.Initial identification and analysis of synteny blocks using OrthoCluster enabled us to systematically improve the genome annotation of C. elegans and C. briggsae, identifying 52 potential novel genes in C. elegans, 582 in C. briggsae, and 949 novel orthologous relationships between these two species. Using the improved annotation, we have detected 3,058 perfect synteny blocks that contain no mismatches between C. elegans and C. briggsae. Among these synteny blocks, the majority are mapped to homologous chromosomes, as previously reported. The largest perfect synteny block contains 42 genes, which spans 201.2 kb in Chromosome V of C. elegans. On average, perfect synteny blocks span 18.8 kb in length. When some mismatches (interruptions) are allowed, synteny blocks ("imperfect synteny blocks") that are much larger in size are identified. We have shown that the majority (80%) of the C. elegans and C. briggsae genomes are covered by imperfect synteny blocks. The largest imperfect synteny block spans 6.14 Mb in Chromosome X of C. elegans and there are 11 synteny blocks that are larger than 1 Mb in size. On average, imperfect synteny blocks span 63.6 kb in length, larger than previously reported.We have demonstrated that OrthoCluster can be used to accurately identify synteny blocks and have found that synteny blocks between C. elegans and C. briggsae are almost three-folds larger than previously identified.

Dataset Information

Systematic Identification of Housekeeping Genes Possibly Used as References in Caenorhabditis elegans by Large-Scale Data Integration.

Publications

Systematic Identification of Housekeeping Genes Possibly Used as References in <i>Caenorhabditis elegans</i> by Large-Scale Data Integration.

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