Project description:Deep sequencing of transcriptomes allows quantitative and qualitative analysis of many RNA species in a sample, with parallel comparison of expression levels, splicing variants, natural antisense transcripts, RNA editing and transcriptional start and stop sites the ideal goal. By computational modeling, we show how libraries of multiple insert sizes combined with strand-specific, paired-end (SS-PE) sequencing can increase the information gained on alternative splicing, especially in higher eukaryotes. Despite the benefits of gaining SS-PE data with paired ends of varying distance, the standard Illumina protocol allows only non-strand-specific, paired-end sequencing with a single insert size. Here, we modify the Illumina RNA ligation protocol to allow SS-PE sequencing by using a custom pre-adenylated 3M-bM-^@M-^Y adaptor. We generate parallel libraries with differing insert sizes to aid deconvolution of alternative splicing events and to characterize the extent and distribution of natural antisense transcription in C. elegans. Despite stringent requirements for detection of alternative splicing, our data increases the number of intron retention and exon skipping events annotated in the Wormbase genome annotations by 127 % and 121 %, respectively. We show that parallel libraries with a range of insert sizes increase transcriptomic information gained by sequencing and that by current established benchmarks our protocol gives competitive results with respect to library quality. Sequencing of mRNA from C. elegans with libraries of four differing insert sizes
Project description:Deep sequencing of transcriptomes allows quantitative and qualitative analysis of many RNA species in a sample, with parallel comparison of expression levels, splicing variants, natural antisense transcripts, RNA editing and transcriptional start and stop sites the ideal goal. By computational modeling, we show how libraries of multiple insert sizes combined with strand-specific, paired-end (SS-PE) sequencing can increase the information gained on alternative splicing, especially in higher eukaryotes. Despite the benefits of gaining SS-PE data with paired ends of varying distance, the standard Illumina protocol allows only non-strand-specific, paired-end sequencing with a single insert size. Here, we modify the Illumina RNA ligation protocol to allow SS-PE sequencing by using a custom pre-adenylated 3’ adaptor. We generate parallel libraries with differing insert sizes to aid deconvolution of alternative splicing events and to characterize the extent and distribution of natural antisense transcription in C. elegans. Despite stringent requirements for detection of alternative splicing, our data increases the number of intron retention and exon skipping events annotated in the Wormbase genome annotations by 127 % and 121 %, respectively. We show that parallel libraries with a range of insert sizes increase transcriptomic information gained by sequencing and that by current established benchmarks our protocol gives competitive results with respect to library quality.
Project description:Sheep total RNA was extracted from embryonic and adult tissues. Sequencing libraries were prepared from the RNA using the Illumina TruSeq stranded total RNA with the Ribo Zero gold option for the rRNA removal. The fragmentation in the standard protocol was modified to increase the average insert size in the library. Sequencing with 151 base paired end reads was performed on an Illumina HiSeq 2500 in rapid mode.
Project description:We report a genome-wide, multi-scale approach to simultaneously measure the effect that the increased copy of each gene and/or operon has on a desired trait or phenotype. The method involves i) growth selections on a mixture of several different plasmid based genomic libraries of defined insert sizes or SCALEs, ii) micro-array studies of enriched plasmid DNA, and a ii) mathematical multi-scale analysis (MSA) that precisely identifies the relevant genetic elements. This approach allows for identification of all single open reading frames and larger multi-gene fragments within a genomic library that alter the expression of a given phenotype. We have demonstrated this method in E. coli by monitoring, in parallel, a population of >106 genomic library clones of different insert sizes, throughout continuous selections over a period of 100 generations.
Project description:Four purified RNA extracts (2 from cells grown in glucose supplemented medium and another 2 from cells grown in PE supplemented medium) were subjected to sequencing. Following cDNA library preparations, the final sequencing libraries were quantified using the KAPA kit (KAPA Biosystem, USA) on a Stratagene Mx-3005P qPCR system (Agilent Technologies, USA) and the respective library sizes were confirmed using Agilent Bioanalyzer High Sensitivity DNA Chip (Agilent Technologies, USA). The resulting libraries were subjected to cluster generation and sequenced using an Illumina flow cell, 202 cycles (101 bp paired-end reads) on the Illumina HiSeq 2000 system (Illumina, USA).
Project description:DNA mate pair and RNA sequencing data of conventional osteosarcomas. Mate pair libraries, with average insert sizes of 2-4 kb, were prepared for sequencing using the Nextera Mate Pair Library Preparation Kit. Paired-end 76 base pair reads were generated using an Illumina NextSeq 500 sequencing instrument. Total RNA was enriched for polyadenylated RNA using magnetic oligo(dT) beads. Enriched RNA was prepared for sequencing using the TruSeq RNA Sample Preparation Kit v2 and paired-end 151 base pair reads were generated from the cDNA libraries using an Illumina NextSeq 500 instrument.
Project description:Methods: Triplicate RNA samples from morphologically stage-matched embryos were sequenced to compare expression profiles over time. Strand-specific libraries were prepared using the TruSeq stranded total RNA-ribozero kit (Illumina) and 100-bp paired-end sequencing was performed to depth of 10 million reads per library on an Illumina HiSeq 2000. Methods: On average, 19 million 100 bp paired-end reads per library were generated. These were then adapter and quality trimmed using cutadapt and SolexaQA. Each sequencing data set was independently mapped to the zebrafish genome with a bowtie2 index generated from Danio_rerio.Zv9.70 (Ensembl) downloaded from Illumina’s iGenomes collection. Zebrafish genome danRer7was used to provide known transcript annotations from Ensembl using TopHat2 (version 2.0.9) with the following options: “tophat2 --GTF genes.gtf --library-type fr-firststrand -p 24 --mate-inner-dist -8 --mate-std-dev 6 zv9” (on average, 75.38% reads mapped uniquely to the genome). Transcriptomes were assembled with Cufflinks (version 2.2.0) using options: ‘cufflinks -p 32 --GTF genes.gtf’ and differential expression analysis between control and knockdown embryos was performed using Cuffdiff. A FDR corrected p-value of 0.05 was applied as the cut off to identify differentially regulated transcripts Results: We could show that MO assisted depletion of Rad21 and CTCF affected the transcriptional profiles of embryos in different ways.
Project description:Purpose: The study aimed to characterize the molecular phenotype of bone marrow macrophages in NHL with RNA sequencing analysis. Methods:RNA of sorted femur macrophages (CD11b+F4/80+) were extracted with an RNA extraction kit (Qiagen). The samples were submitted to Novogene Inc. for library preparation and subsequent RNA sequencing. RNA was used for cDNA library construction using an NEBNext® Ultra RNA Library Prep Kit for Illumina® (New England Biolabs) according to the manufacturer’s protocol. The resulting 250-350 bp insert libraries were quantified using a Qubit 2.0 fluorometer (Thermo Fisher Scientific) and quantitative PCR. Size distribution was analyzed using an Agilent 2100 Bioanalyzer (Agilent Technologies). Qualified libraries were sequenced on an Illumina HiSeq 4000 Platform (Illumina) using a paired-end 150 run (2×150 bases). Reads containing adapter or poly-N and those of low quality were trimmed, after which gene counts were obtained though mapping the clean reads to reference genome mm10 using STAR 2.5.3a.
Project description:Purpose: Profiling the bulk transcriptomes of PBLs in sepsis-developed BM progression. Methods: The total RNA of PBLs from BM patients were extracted, and constructed into cDNA library. Raw data of mRNA profiles were sequenced by paired-end strategy. Gene-counts were generated through handling sequencing data with the combined workflow of UMI-tools, STAR, Subread package and Samtools. Results: Successfully acquirng multiple bulk-transcriptomic profiles of PBLs from BM patients in different sepsis conditions.