Clostera restitura
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA389394 | ENA |
REPOSITORIES: ENA
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Project description:To allow estimation of the complexity of the antennal transcriptome between sexes as well as in comparison with a non-antennal tissue, microarrays were designed based on an assembly of new 454 sequence data from the antenna and publicly available data including 454 data from the larval midgut. The microarrays were hybridized with samples generated from the repsecitve tissues from 3 (antenna) and 5 (midgut) animals per sample, with four independent samples per sex (antenna) and tissue (midgut).
2011-03-01 | GSE27470 | GEO
Project description:To allow estimation of the complexity of the antennal transcriptome between sexes as well as in comparison with a non-antennal tissue, microarrays were designed based on an assembly of new 454 sequence data from the antenna and publicly available data including 454 data from the larval midgut. The microarrays were hybridized with samples generated from the repsecitve tissues from 3 (antenna) and 5 (midgut) animals per sample, with four independent samples per sex (antenna) and tissue (midgut). Sequence assembly of included Manduca antennal and gut ESTs (63) and all publicly available Genbank sequences was used with eArray (Agilent Technologies) for the design of 4 x 44K microarrays based on 60mer oligo probes. For sex-specific antennal microarray hybridizations, RNA of three individuals of one sex was pooled per preparation, and 5 larvae each were dissected for gut tissue isolation with four biological replicates per sex (antennae) and tissue (gut), respectively. Double purified total RNA was added to Agilent Technologies spike-in RNA and labeld using QuickAmp Amplification kit (Agilent Technologies) and the Kreatech ULS Fluorescent Labeling Kit with cyanine 3-CTP dye following the manufacturer´s instructions. Amplified cRNA samples were used for microarray hybridization, scanned with the Agilent Microarray Scanner and data was extracted from TIFF images with Agilent Feature Extraction software version 9.1. Raw data output files were analyzed using the GeneSpring GX11 and GeneSifter microarray analysis softwares.
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Project description:Purpose: In order to understand the functional significance of sperm transcriptome in stallion fertility, the aim of this study was to generate a detailed body of knowledge about the sperm RNA profile that defines a normal fertile stallion. Methods: The 50 bp single-end ABI SOLiD raw reads were directly aligned with the horse reference sequence EcuCab2 using ABI aligner software (NovoalignCS version 1.00.09, novocraft.com) which uses multiple indexes in the reference genome, identifies candidate alignment locations for each primary read, and allows completion of the alignment. Results: Next generation sequencing (NGS) of total RNA from the sperm of two reproductively normal stallions generated about 70 million raw reads and more than 3 Gb of sequence per sample; over half of these aligned with the EcuCab2 reference genome. Altogether, 19,257 sequence tags with average coverage ≥1 (normalized number of transcripts) were mapped in the horse genome. Conclusion: The sequence of stallion sperm transcriptome is an important foundation for the discovery of transcripts of known and novel genes, and non-coding RNAs, thus improving the annotation of the horse genome sequence draft and providing markers for evaluating stallion fertility.
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