Genomic
Ontology highlight
ABSTRACT:
TISSUE(S): ['pancreas']
SUBMITTER: gan shuang
PROVIDER: OEX00013724 | NODE | 2021-06-07
REPOSITORIES: NODE
Similar Datasets
Project description:Illumina sequencing was employed to examine the expression profiles of rice anther miRNAs from the a non-pollen male sterile line Wuxiang S (WXS), one of photo-thermo sensitive genical male sterile (PTGMS) line rice, during in the fertility transition stage. A total of 493 known miRNAs and 273 novel miRNAs were identified during rice anther development. Based on the number of sequencing reads, a total of 26 miRNAs were discovered to be significant difference expression between WXS(S, Sterility) and WXS(F, Fertility), and the results were partially validated by qRT-PCR. Among these, 11 miRNAs were decreased and 15 miRNAs were increased in WXS(S) compared with WXS(F). The expression patterns for targets of osa-miR156a-j, osa-miR3879, osa-miR159c/d/e, osa-miR171a/c/e/i, osa-miR398b, osa-miR164d, osa-miR528 and osa-miR408 were selectively examined, and the results showed that there was a negative correlation on the expression patterns between miRNAs and their targets. These targets have previously been reported to be related with pollen development and male sterility, suggesting that miRNAs might act as regulators of rice anthers. Furthermore, miRNA editing events were observed. The U-to-C and U-to-A editing phenomenon was validated by molecular cloning and sequencing.
2016-02-14 | GSE74003 | GEO
Project description:Illumina sequencing was employed to examine the expression profiles of rice anther miRNAs from the a non-pollen male sterile line Wuxiang S (WXS), one of photo-thermo sensitive genical male sterile (PTGMS) line rice, during in the fertility transition stage. A total of 493 known miRNAs and 273 novel miRNAs were identified during rice anther development. Based on the number of sequencing reads, a total of 26 miRNAs were discovered to be significant difference expression between WXS(S, Sterility) and WXS(F, Fertility), and the results were partially validated by qRT-PCR. Among these, 11 miRNAs were decreased and 15 miRNAs were increased in WXS(S) compared with WXS(F). The expression patterns for targets of osa-miR156a-j, osa-miR3879, osa-miR159c/d/e, osa-miR171a/c/e/i, osa-miR398b, osa-miR164d, osa-miR528 and osa-miR408 were selectively examined, and the results showed that there was a negative correlation on the expression patterns between miRNAs and their targets. These targets have previously been reported to be related with pollen development and male sterility, suggesting that miRNAs might act as regulators of rice anthers. Furthermore, miRNA editing events were observed. The U-to-C and U-to-A editing phenomenon was validated by molecular cloning and sequencing. Examine small RNA profiles change of four tissues of the rice non-pollen male sterile line Wuxiang S under two different environments.
2016-02-14 | E-GEOD-74003 | biostudies-arrayexpress
Project description:In order to systematically identify the possible regulatory roles of (long nocoding RNAs) lncRNAs and (circular RNAs) cirRNAs in the rice photo-thermosensitive genic male sterile (PTGMS) line that were involved in fertility transition, 18 RNA libraries from rice young panicles of the Wuxiang S sterile line rice (WXS (S)) and its fertile line rice (WXS (F)) at the pollen mother cell (PMC) formation stage (P2), the meiosis stage (P3), and the microspore formation stage (P4) were constructed, with three biological replicates for each condition. These libraries were sequenced using an Illumina Hiseq 2500 platform, and approximately 214.54 Gb clean reads were generated. we performed genome-wide identification and characterization of lncRNAs circRNAs using high-throughput strand-specific RNA sequencing (ssRNA-seq) technology and bioinformatics tools to investigate the expression profiles of circRNAs in the PTGMS rice line WXS and their potential roles in the fertility transition.A total of 3948 lncRNAs and 9994 circRNAs were indentifiled in WXS rice, and our findings clearly revealed that lnRNAs and circRNAs might be endogenous noncoding regulators of flower and pollen development in the PTGMS rice line.
2021-05-30 | GSE125608 | GEO
Project description:Comprehensive genomic analysis (WXS, WGS, RNAseq) identifies shared pathways of progression between human and mouse myeloma.
2024-04-04 | GSE255233 | GEO
Project description:The transcriptional regulatory switches responsible for the mechanism of fertility conversion in two-line system of hybrid rice remain unclear. Here, we employed the ATAC-seq, combined with H3K9ac and H3K4me2 and gene expression analyses, in a rice PTGMS Line Wuxiang S to delineate an integrative chromatin accessibility profiling to uncover the key new regulatory modules in response to temperature fluctuation, which can provide important hypotheses regarding the mechanisms of fertility conversion. Collectively, the potentially active genes with H3K4me2 mark under the permissive state of chromatin can easily be regulated by these transcription factors (TFs). Analyzing TF binding cis-regulatory motifs in differentially accessible chromatin regions identified an ERF-driven regulatory module, that acts as an active transcriptional repressor with temperature-dependent function, specially in WXS(F), which can switch into an activator to control both cell wall development, response to temperature fluctuation, and plant architecture. On the contrary, a MADS/ERF co-regulatory module is unique to the WXS(S) at meiosis period, which tends to directly or indirectly affect various metabolic pathways-related genes to coordinate plant development and growth with proper anther development. Meanwhile, there was a unique accessibility of chromatin on the promoter of UbL40 mRNA in WXS(F), which were found to be regulated by the MADS/ERF module. Our analyses uncovered new TF control modules involved in fertility conversion and shed light on the transcriptional mechanisms as fundamental for further study of genetic manipulations of these transcription factors, in order to prove and elaborate on the specific predictions made by the key model.
2019-12-31 | GSE114090 | GEO