Project description:Deep sequencing as a high-throughput technology has been widely used in the transcriptome profiling in mammals. In the present study, we aimed to identify chicken lncRNAs ranging from 300-1600 nt long. Total RNAs from chicken skeletal muscle at the embryonic stage were fractionated by 6% urea PAGE. Selected RNA fractions (300-1600 nt) were sequenced by Solexa technology.
Project description:Deep sequencing as a high-throughput technology has been widely used in the transcriptome profiling in mammals. In the present study, we aimed to identify chicken lncRNAs ranging from 300-1600 nt long. Total RNAs from chicken skeletal muscle at the embryonic stage were fractionated by 6% urea PAGE. Selected RNA fractions (300-1600 nt) were sequenced by Solexa technology. Chicken eggs (White Leghorn) were incubated at 37.5°C for 10 days (E10), 12 days (E12), 14 days (E14), 18 days (E18). Skeletal muscles (pectoralis) were collected from chicken embryo incubated at above four stages. All muscle samples were immediately frozen in liquid nitrogen and stored at -80°C until RNA isolation. All embryonic manipulations were conducted in accordance with the protocols of the Chinese Academy of Medical Sciences and the Institutional Animal Care and Use Committee of Peking Union Medical College. The single 'Chicken_muscle' Sample represents muscle pooled from all four stages.
Project description:We have used RNA-seq to examine long non-coding RNA (lncRNA) and mRNA from rRNA depleted in chicken leg musle of three different development stages (11 embryo age, 16 embryo age, and 1 days post hatch). Our study reveals the prevalence of lncRNA in chicken, and has identified lncRNA differentially abundant in different stage of embryonic skeletal muscle, suggesting its important functions during poultry muscle development.
Project description:In the current study, we expanded our previous work to identify miRNAs implicated in the myogenesis regulation through the comparison of miRNAs transcriptome in skeletal muscle tissues between broilers and layers. To address that, we firstly performed Solexa deep sequencing to profile miRNAs expressed in chicken skeletal muscle tissues. Sequence tags analyses not only enable us to report a group of highly abundant known miRNAs expressed in skeletal muscles but most importantly to identify novel putative chicken miRNAs from skeletal muscle tissue. Further miRNA transcriptome comparison and real-time RT-PCR validation experiments revealed seveal differentially expressed miRNAs between broilers and layers.
Project description:We report the transcriptomes of 10 different chicken (Gallus gallus) cell/tissue types. The goal of this project was to determine similarities and differences between different cell/tissue types, with respect to protein coding genes, lncRNA, isoform counts, and differential gene expression. We provide raw data and bigWig files for UCSC visualization. The findings described here will be useful towards a complete annotation of chicken tissue and cellular transcriptomes.
Project description:In the current study, we expanded our previous work to identify miRNAs implicated in the myogenesis regulation through the comparison of miRNAs transcriptome in skeletal muscle tissues between broilers and layers. To address that, we firstly performed Solexa deep sequencing to profile miRNAs expressed in chicken skeletal muscle tissues. Sequence tags analyses not only enable us to report a group of highly abundant known miRNAs expressed in skeletal muscles but most importantly to identify novel putative chicken miRNAs from skeletal muscle tissue. Further miRNA transcriptome comparison and real-time RT-PCR validation experiments revealed seveal differentially expressed miRNAs between broilers and layers. Examination of miRNA transcriptome in skeletal muscle of two kinds of chickens
Project description:This study was to identify lncRNAs responsible for muscle atrophy Muscle atrophy commonly occurs in aging, disuse, starvation, and many chronic diseases including heart failure and cancer. Muscle atrophy leads to muscular weakness and reduced quality of life, which also significantly increases morbidity and mortality. While progress has been made in understanding the molecular underpinnings of muscle atrophy, currently there are no effective approved drugs to combat muscle atrophy. Thus, novel therapies for muscle atrophy would address an important unmet clinical need. Long non-coding RNAs (LncRNAs) are transcribed RNAs longer than 200 nucleotides with little or no protein-coding capacity. Several lncRNAs have been reported in myogenesis and few lncRNAs have been mechanistically linked to skeletal muscle diseases. Here we want to identify a lncRNA as a common regulator of multitypes of muscle atrophy.
