MiRNA Expression Profiles in Burkitt and Hodgkin lymphoma cell lines upon Ionizing Radiation Exposure
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ABSTRACT:
INSTRUMENT(S): NextSeq 500
ORGANISM(S): Homo sapiens
SUBMITTER:
PROVIDER: E-MTAB-14492 | biostudies-arrayexpress |
SECONDARY ACCESSION(S): E-MTAB-14491
REPOSITORIES: biostudies-arrayexpress
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Project description:Purpose: microRNA profiles were generated from NIH-3T3 cells control and thapsigargin treated, in duplicate. The goal of this study was to compare microRNA profiles of untreated and thapsigargin treated NIH-3T3 fibroblast cells. Methods: NIH-3T3 cells were grown to confluency and either untreated or treated with 500 nM thapsigargin in media for 24 hours. Cells were harvested with TriZol and RNA isolated according to manufacturers protocol Analysis Outline: Short reads in fastq format were assembled using BclToFastq.pl script from Illumina CASAVA 1.8.1 software pipeline.Read quality was examined using FastQC program (http://www.bioinformatics.bbsrc.ac.uk/projects/fastqc). Adapters were trimmed at the 3'end using Btrim prgram (PMID:21651976), only sequences equal to and longer than 18nt were retained, leading N base was trimmed at the 5' end. Unique reads were collapsed using Raw_data_parse program from miRExpress suite (PMID:19821977) (the result of this process is a file that contains unique sequences in one column and number of times this sequence was found in the library in another). They can be found in *.merge files in trimmed_reads directory. Collapsed reads were reformatted and uploaded into miRanalyzer web-based pipeline (http://bioinfo2.ugr.es/miRanalyzer/miRanalyzer.php; PMID:21515631) and matched to known mature miRNA (miRBase vesion 16), RFAM database (version 15) of known non-coding RNAs and known gene transcripts. The purpose of miRAnalyzer analysis was to only detect known miRNAs, prediction of novel miRNAs was not performed; search parameters were kept at default. MiRanalyzer output is saved in miRanalyzer folder with detailed information about mapping to known miRNA. Known miRNAs were divided into mature, maturestar (star sequences), maturestarunobs (star sequences not in miRBase) and hairpin. For each of the libraries there are files with unique and ambiguous mappings. Differentional expression analysis was based on unique alignments to known miRNAs (mature_unique.txt file in miRanalyzer folder). Mature_unique.txt has following columns: name: mature miRNA ID from miRBase; #unique reads: number of unique reads mapped; readCount: number of reads mapped; norm_expressed_all: normalized to all reads; norm_expressed_mapped: normalized to mapped reads. miRNA expression profiling was performed using edgeR bioconductor package (PMID:20478825). For differential expression analysis, used TMM normalization and analysis using common disperion (using tagwise dispersion yielded the same results). FDR was calculated according to Hochberg-Benjamini procedure (PMID:2218183). Results of differential expression analysis were saved in diff_exp folder as diff_exp.txt. diff_exp.txt contains miRNA concentrations in log scale, log2 ratio of WT to KO; p-values and FDR corrected p-values. miRNAs were sorted by p-value. NIH-3T3 cells grown to confluency and treated with 500 nM thapsigargin in media for 24 hours
2014-06-15 | E-GEOD-57138 | biostudies-arrayexpress
Project description:Cervical cancer (CC) is a malignancy characterized by persistent HPV infection and tumor microenvironment remodeling. To explore the molecular characteristics of plasma extracellular vesicles (EVs) in CC, we performed miRNA sequencing on plasma EVs from 3 CC patients and 3 healthy controls. Differentially expressed miRNAs were identified, revealing potential biomarkers and providing insights into early diagnosis and therapeutic intervention.
2026-01-23 | PXD071100 | Pride
Project description:The aim of this study was to identify miRNAs that undergo regulated biogenesis in response to ionizing radiation in B-lymphoma cells. The dataset includes RNA sequencing data from three Burkitt lymphoma cell lines (ST486, CA46, DG75) and three Hodgkin lymphoma cell lines (L1236, L428, KMH2). Cells were exposed to 4 Gy dose of ionizing radiation and compared to non-irradiated control cells. Paired-end RNA sequencing was performed using the Illumina platform. Chromosomal coordinates of the human miRNAs (GRCh38) were downloaded from miRBase (hsa.gff3, miRBase v22), and the coordinates were extended by 150 bp upstream and downstream to designate pri-miRNA transcripts. This modified file was then merged with the base GTF annotation. The raw data underwent preprocessing to remove adapters and low-quality reads using TrimGalore-0.6.6. The cleaned reads were then aligned to the reference genome using STAR-2.7.3a. Genome sequence (GRCh38.primary_assembly.genome.fa) and primary annotations (gencode.v41.primary_assembly.annotation.gtf) were obtained from the GENCODE database (https://www.gencodegenes.org/human/ ). FeatureCounts from the Subread 2.0.3 package was used for read quantification.
2025-11-30 | E-MTAB-14491 | biostudies-arrayexpress
Project description:MicroRNAs (miRNA) are short single-stranded RNA molecules that regulate gene expression post-transcriptionally by binding to complementary sequences in the 3' untranslated region (3' UTR) of target mRNAs. MiRNAs participate in the regulation of myogenesis, and identification of the complete set of miRNAs expressed in muscles is likely to significantly increase our understanding of muscle growth and development. To determine the identity and abundance of miRNA in porcine skeletal muscle, we applied a deep sequencing approach. This allowed us to identify the sequences and relative expression levels of 212 annotated miRNA genes, thereby providing a thorough account of the miRNA transcriptome in porcine muscle tissue. The expression levels displayed a very large range, as reflected by the number of sequence reads, which varied from single counts for rare miRNAs to several million reads for the most abundant miRNAs. Moreover, we identified numerous examples of mature miRNAs that were derived from opposite sides of the same predicted precursor stem-loop structures, and also observed length and sequence heterogeneity at the 5' and 3' ends. Furthermore, KEGG pathway analysis suggested that highly expressed miRNAs are involved in skeletal muscle development and regeneration, signal transduction, cell-cell and cell-extracellular matrix communication and neural development and function. Examination of small RNA profiles in 7 isolates of porcine muscle The raw sequences were trimmed to 30 nucleotides, and it was set as a requirement that any sequence must appear at least three times and be present in at least two of the seven libraries. All identical reads within a library were grouped and converted into unique sequences. Reads containing Ns or long tracks (M-BM-!M-CM-^]8) of As were removed and the sequences were trimmed for adaptor-sequences. To annotate the unique sequences, a Decypher Tera-BLASTN Search was performed against a database of mature miRNAs obtained from miRBase (release 12.0). Hits with a match of 16 or more nucleotides to a miRNA from the database were gathered, and the count of each miRNA was normalized to the total number of sequence reads per lane. The outcome of this procedure can be seen in the Aarhus_University_GBI_FC208D2AAXX_blast_mirbase table below.
2009-11-24 | E-GEOD-14584 | biostudies-arrayexpress
Project description:To identify potential miRNAs involved in fiber development and elucidate their expression differences between G. barbadense and G. hirsutum, we constructed two small RNA libraries, Gb10 and Gh10, prepared from fibers of 3-79 (G. barbadense) and TM-1 (G. hirsutum) collected at 10 days post-anthesis (DPA). We identified 28 conserved miRNA families, including 24 that exactly match known plant miRNA families in miRBase. With MIREAP and newly developed software miRsearcher, 7 candidate-novel miRNAs were found. 5 candidate-novel miRNAs were expressed in both species, 2 candidate-novel miRNAs were expressed only in one species. Moreover, 4 miRNA families showed significant expression differences between sea-island cotton and upland cotton in 10 DPA fibers. two examples including 3-79 and TM-1 10 DPA fibers
2010-12-03 | E-GEOD-25773 | biostudies-arrayexpress
Project description:Purpose: The goal of this study is to identify the miRNA clusters that are regulated by EGFR under normoxia or hypoxia. Method: Total RNAs were extracted from HeLa cells expressing scrambled control or EGFR shRNA-E1 that cultured under normoxia or hypoxia (1% O2) for 24h. Customized Next-Generation RNA deep sequencing, including both small RNA application and whole transcriptome analysis, was performed according to the standard procedure instructed by Applied Biosystems. For small RNA analysis, library inserts were size selected between 18 and 40nts and analyzed using CLC Genomics Workbench 4.7.1. 35nt colorspace reads were trimmed of adaptor sequence and mapped against human pre-miR sequences (miRBase version 16.0). Values of reads per million mapped reads (RPM) were based on mapped reads with no more than 2 mismatches total. A read was considered to come from a mature miRNA if it mapped to pre-miRNA sequences with no more than three upstream or downstream bases, and missing no more than two upstream or downstream bases from predicted mature or mature* sequences as defined in miRBase version 16.0. All the other pre-miRNA mapped reads were assigned as pre-miRNA signal. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: Deep sequencing analysis identified specific miRNA clusters that their maturation (miRNA processing efficacy was reflected by the relative expression of precursor miRNAs affected by EGFR compared with the relative expression of mature miRNAs affected by EGFR) were regulated by EGFR under normixa or specifically in response to hypoxia. Top miRNA candidates that regulated by EGFR in response to hypoxia were further verified by TaqMan and SYBR Green qRT-PCR assays. Conclusion: Next-Generation Deep Sequencing for small RNA analysis revealed a novel function of EGFR involved in miRNA maturation in response to hypoxic stress. RNA profiles of HeLa cells expressing scrambled control (S) or EGFR shRNA-E1 (A1) that cultured under normoxia or hypoxia (1% O2) for 24h were generated by AB SOLiD next-generation sequencing. S: HeLa expressing scrambled control cultured under normoxia; A1: HeLa expressing EGFR shRNA-E1 cultured under normoxia; HS: HeLa expressing scrambled control cultured under hypoxia for 24h; HA1: HeLa expressing EGFR shRNA-E1 cultured under hypoxia for 24h. In total, 4 biological samples with no replicates resulted in 4 small RNA profiles.
2013-10-01 | E-GEOD-44802 | biostudies-arrayexpress
Project description:Topping is an important cultivating measure for flue-cured tobacco, and many genes had been found to be differentially expressed in response to topping. But it is still unclear how these genes are regulated. MiRNAs play a critical role in post-transcriptional gene regulation, so we sequenced two sRNA libraries from tobacco roots before and after topping, with a view to exploring transcriptional differences in miRNAs.Two sRNA libraries were generated from tobacco roots before and after topping. Solexa high-throughput sequencing of tobacco small RNAs revealed a total of 12,104,207 and 11,292,018 reads representing 3,633,398 and 3,084,102 distinct sequences before and after topping. The expressions of 136 conserved miRNAs (belonging to 32 families) and 126 new miRNAs (belonging to 77 families) were determined. There were three major conserved miRNAs families (nta-miR156, nta-miR172 and nta-miR171) and two major new miRNAs families (nta-miRn2 and nta-miRn26). All of these identified miRNAs can be folded into characteristic miRNA stem-loop secondary hairpin structures, and qRT-PCR was adopted to validate and measure the expression of miRNAs. Putative targets were identified for 133 out of 136 conserved miRNAs and 126 new miRNAs. Of these miRNAs whose targets had been identified, the miRNAs which change markedly (>2 folds) belong to 53 families and their targets have different biological functions including development, response to stress, response to hormone, N metabolism, C metabolism, signal transduction, nucleic acid metabolism and other metabolism. Some interesting targets for miRNAs had been determined. 2 samples examined:roots before and after topping
2014-11-01 | E-GEOD-33370 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) play a critical role in post-transcriptional gene regulation. miRNAs have been shown to control many genes involved in various biological and metabolic processes. Deep sequencing technologies have facilitated identification of species-specific or lowly expressed as well as conserved or highly expressed miRNAs in plants. In this research, we used Solexa sequencing to discover new microRNAs in trifoliate orange (Citrus trifoliata) an important rootstock of citrus. A total of 13,106,753 reads representing 4,876,395 distinct sequences were obtained from a short RNA library generated from small RNA extracted from C. trifoliata flower and fruit tissues, Based on sequence similarity and hairpin structure prediction, we found that 178,102 reads representing 89 sequences from 42 highly conserved miRNA families, have perfect matches to known miRNAs. We also identified 10 novel miRNA candidates, whose precursors were all potentially generated from citrus ESTs. And of them five miRNA* sequences were also sequenced. These sequences had not been described in other plant species and accumulation of these 10 novel miRNAs were confirmed by qRT-PCR analysis. Potential target genes were predicted for most conserved and novel miRNAs. Moreover, four target genes included one encoding IRX12 copper ion binding/ oxidoreductase and three genes encoding NB-LRR disease resistance protein have been experimentally verified by detection of the miRNA-mediated mRNA cleavage in C. trifoliata. Size fractionated small RNAs (16-30 bp) from total RNA extracts was ligated to 5' and 3' adapters, and reverse transcribed. After PCR amplification the sample was subjected to Solexa sequencing. The resultant 35nt sequence data were filtered according to base quality value. The remained sequences were used to trim 5' and 3' adaptors. The clean tags were used for further analysis.
2010-08-17 | E-GEOD-22089 | biostudies-arrayexpress
Project description:To investigate specific miRNA expression profiles of Marek's disease virus (MDV)-infected samples, we performed deep sequencing for miRNAs in four small RNA libraries, including MDV-infected tumorous spleen, MD lymphoma from liver, and non-infected spleen and lymphocytes from controls. A total of 7.76x106, 6.36x106, 6.36x106, and 7.60x106 counts were obtained in four libraries, respectively. The sequences were blasted with chicken and MDV genomes and miRBase 16.0 to identify known and novel miRNAs. In total, 187 and 16 known mature miRNAs were identified in the chicken and MDV, respectively. Deep sequencing detected 942 novel chicken miRNA candidates, of which 646 were in tumorous spleen. These results indicate that MDV infection induced new host miRNA candidates and increased diversity of miRNAs. Of 942 miRNA candidates, 276 of 533 were verified by customized microarray, and 17 of them were further confirmed by qPCR. Four samples examined: MDV-infected tumorous spleen, MD lymphoma from liver, Non-infected spleen, Non-infected lymphocytes
2013-12-30 | E-GEOD-31349 | biostudies-arrayexpress
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2010-11-11 | E-GEOD-25260 | biostudies-arrayexpress