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Status |
Public on Apr 20, 2021 |
Title |
RNA sequencing Left-Ventricle-1 biological replicate 1 |
Sample type |
SRA |
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Source name |
Left Ventricle
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Organism |
Sus scrofa |
Characteristics |
breed: Rongchang pig tissue: Left Ventricle age: 2-year-old developmental stage: Adult Sex: female
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Extracted molecule |
total RNA |
Extraction protocol |
Total RNA was extracted using the RNeasy Mini Kit (Qiagen). We used an rRNA depletion protocol (Ribo-Zero kit, Epicentre) coupled with the Illumina TruSeq stranded RNA-Seq library protocol to construct the RNA-Seq libraries. All libraries were quantified using the Qubit dsDNA High Sensitivity Assay Kit (Invitrogen) and sequenced on HiSeq X Ten (Illumina) platform to produce average ~ 49 million 150-bp paired-end raw reads and ~ 48 million high-quality reads for each library.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
HiSeq X Ten |
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Description |
pig_PCG.all_exp_tpm_gene.txt pig_lncRNA.all_exp_tpm_gene.txt pig_TUCP.all_exp_tpm_gene.txt pig_circRNA.all_exp_tpm_gene.txt analysis.gtf Pig-Left-Ventricle-1
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Data processing |
Sequence reads are aligned to pig reference genome (Sscrofa 11.1, GCA_000003025.6) by alignment tool STAR (version 2.5.3a). The aligned reads of these samples were assembled using Cufflinks (version 2.1.1). We developed and employed a previously reported computational methods to filter out library-specific background noise and predict the most likely isoforms from the assemblies of transcript fragments (transfrags). After these filtering, we got high-quality assemblies containing reliable transcripts. These high-quality transcript assemblies were then subjected to TACO (a meta-assembly method with a robust solution for leveraging the vast RNA-seq data landscape for transcript structure prediction), leading to the construction of transcriptome maps. We predicted coding potential by integrating two sources of evidence: (i) predictions from the alignment-free Coding Potential Calculator (CPC2) LncRNAs were classified into locus biotypes based on both transcription localization and transcription direction of proximal PCG loci (5-kb distance cutoff) with FEElnc software CIRCExplorer was used to retrieve RNA-seq reads that are mapped to back-splicing junction sites for circRNA prediction Genome_build: Sscrofa11.1 Supplementary_files_format_and_content: PCG expression level (TPM) text file Supplementary_files_format_and_content: lncRNA expression level (TPM) text file Supplementary_files_format_and_content: TUCP expression level (TPM) text file Supplementary_files_format_and_content: circRNA expression level (TPM) text file Supplementary_files_format_and_content: gtf file
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Submission date |
Nov 25, 2020 |
Last update date |
Apr 20, 2021 |
Contact name |
jin long |
E-mail(s) |
longjin8806@163.com
|
Organization name |
Sichuan Agricultural University
|
Street address |
Hui ming
|
City |
Chengdu |
ZIP/Postal code |
611130 |
Country |
China |
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Platform ID |
GPL22918 |
Series (2) |
GSE162145 |
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription [RNA-Seq pig] |
GSE162148 |
A Pig BodyMap Transcriptome Reveals Diverse Tissue Physiologies and Evolutionary Dynamics of Transcription |
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Relations |
BioSample |
SAMN15150275 |
SRA |
SRX8483887 |