Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MRNA-seq data from embryonic autopods of the common bent-wing bat (Miniopterus schreibersii)

ABSTRACT: The only freely flying mammals, bats, develop a pair of dramatically elongated hands and broad wing membranes. It is hypothesized that alterations of many gene expressions result in the bat wing formation. However, it remains to be proved. Here, by mRNA-seq, we found that hundreds of genes are significantly high expressed in the elongating forelimb digits. mRNA-seq data of 14 autopod samples from embryonic bats (Miniopterus schreibersii) were obtained by Illumina HiSeq 2000.

ORGANISM(S): Miniopterus schreibersii

SUBMITTER: Zhe Wang

PROVIDER: E-GEOD-50699 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Unique expression patterns of multiple key genes associated with the evolution of mammalian flight.

Wang Zhe Z Dai Mengyao M Wang Yao Y Cooper Kimberly L KL Zhu Tengteng T Dong Dong D Zhang Junpeng J Zhang Shuyi S

Proceedings. Biological sciences 20140402 1783

Bats are the only mammals capable of true flight. Critical adaptations for flight include a pair of dramatically elongated hands with broad wing membranes. To study the molecular mechanisms of bat wing evolution, we perform genomewide mRNA sequencing and in situ hybridization for embryonic bat limbs. We identify seven key genes that display unique expression patterns in embryonic bat wings and feet, compared with mouse fore- and hindlimbs. The expression of all 5'HoxD genes (Hoxd9-13) and Tbx3, ...[more]

PMID: 24695426

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Project description:RNA-Seq has been increasingly used for the quantification and characterization of transcriptomes. The ongoing development of the technology promises the more accurate measurement of gene expression. However, its benefits over widely accepted microarray technologies have not been adequately assessed, especially in toxicogenomics studies. The goal of this study is to enhance the scientific community's understanding of the advantages and challenges of RNA-Seq in the quantification of gene expression by comparing analysis results from RNA-Seq and microarray data on a toxicogenomics study. A typical toxicogenomics study design was used to compare the performance of an RNA-Seq approach (Illumina Genome Analyzer II) to a microarray-based approach (Affymetrix Rat Genome 230 2.0 arrays) for detecting differentially expressed genes (DEGs) in the kidneys of rats treated with aristolochic acid (AA), a carcinogenic and nephrotoxic chemical most notably used for weight loss. We studied the comparability of the RNA-Seq and microarray data in terms of absolute gene expression, gene expression patterns, differentially expressed genes, and biological interpretation. We found that RNA-Seq was more sensitive in detecting genes with low expression levels, while similar gene expression patterns were observed for both platforms. Moreover, although the overlap of the DEGs was only 40-50%, the biological interpretation was largely consistent between the RNA-Seq and microarray data. RNA-Seq maintained a consistent biological interpretation with time-tested microarray platforms while generating more sensitive results. However, there is clearly a need for future investigations to better understand the advantages and limitations of RNA-Seq in toxicogenomics studies and environmental health research. Eight rats were randomly divided into two groups: four rats were administered with aristolochic acid (AA), and four rats were treated with the control vehicle. RNA samples were extracted from the kidney tissue of each rat and were independently assayed with both the NGS (Illumina Genome Analyzer II) and the microarray (Affymetrix Rat Genome 230 2.0) platforms. The RNA-Seq and microarray data were compared in terms of absolute gene expression, gene expression patterns, differentially expressed genes, and biological interpretation.

Dataset Information

MRNA-seq data from embryonic autopods of the common bent-wing bat (Miniopterus schreibersii)

Publications

Unique expression patterns of multiple key genes associated with the evolution of mammalian flight.

Similar Datasets

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