Comparison of poly(A) and capture RNA-seq: controlled degradation in vitro
ABSTRACT: We compare the performance of two library preparation protocols (poly(A) and exome capture) in in vitro degraded RNA samples VcaP cell were grown, and treated with MDV3100 (enzalutamide) or DHT (dihydrotestosterone), intact RNA was isolated and samples were prepared in technical triplicates using two library preparation protocol. Also cells were subject to in vitro degradation through incubation of the whole cell lysate in 37C for increasing amounts of time. Following incbation paired capture and poly(A) libraries were prepared.
Project description:Novel RNA-guided cellular functions are paralleled by an increasing number of RNA binding proteins (RBPs). We present “serial interactome capture” (serIC), a multiple purification procedure of UV-crosslinked poly(A)-RNA-protein complexes that enables global RBP detection with maximal specificity. We apply serIC to nuclei of proliferating K562 cells to obtain the first human nuclear interactome. The domain composition of the 382 identified nuclear RBPs markedly differs from previous IC experiments, including fewer factors without known RNA binding domains that are in better agreement with computationally predicted RNA binding. serIC extends the number of DNA-RNA binding proteins (DRBPs), and reveals a network of RBPs involved in p53 signaling and double strand break repair. serIC is an effective tool to couple global RBP capture with additional selection or labelling steps for specific detection of highly purified RBPs. The nuclear interactome presented here is a stepping-stone towards deciphering of the functional RNA-protein network in the mammalian nucleus.
Project description:We have used a combination of three high-throughput RNA capture and sequencing methods to refine and augment the transcriptome map of a well studied genetic model, Caenorhabditis elegans. The three methods include a standard (non-directional) library preparation protocol relying on cDNA priming and foldback that has been used in several previous studies for transcriptome characterization in this species, and two directional protocols, one involving direct capture of single stranded RNA fragments and one involving circular-template PCR (circligase). We find that each RNA-seq approach shows specific limitations and biases, with the application of multiple methods providing a more complete map than was obtained from any single method. Of particular note in the analysis were substantial advantages of circligase-based and ssRNA-based capture for defining sequences and structures of the precise 5' ends (which were lost using the double strand cDNA capture method). Of the three methods, ssRNA capture was most effective in defining sequences to the polyA junction. Using datasets from a spectrum of C. elegans strains and stages and the UCSC Genome Browser, we provide a series of tools, which facilitate rapid visualization and assignment of gene structures. single-strand-capture, double-strand-capture, and circligase-based RNA-seq
Project description:RNA isolation and RNA-Seq: Wild-type Xcc or pXccBphP strains were cultured in red light or dark conditions up to logarithmic phase (0.7 to 0.8 OD600) at 28C in PYM broth. Total bacterial RNA was isolated using the MasterPureTM RNA Purification Kit (Epicentre, Illumina). Samples corresponding to two biological replicates of each condition were submitted to Genome Qubec for rRNA removal with Ribo-Zero (Illumina) and TruSeq RNA-seq library preparation. 50 bp single-end sequencing of the libraries was performed using an Illumina HiSeq 2000 platform (Genome Qubec). Removal of low-quality reads and Illumina adapters, and assessment of the quality of the reads was performed using Trimmomatic (Bolger et al, 2014) and FastQC (www.bioinformatics.babraham.ac.uk/ projects/fastqc/), respectively. Rads were aligned to the Xcc genome obtained from GenBank (accession number: NC_007086.1) using SAMtools and the BurrowsWheeler Alignment software (BWA) (Li et al, 2009). Alignments were visualized using the software Integrated Genome Viewer (IGV) (http://broadinstitute.org/igv). RNA-Seq differential expression analysis: Read counts corresponding to annotated ORFs were quantified with the software FeatureCounts (Liao et al, 2014) using the strand specific mode. Differential expression analysis was performed using the software DESeq (Anders & Huber, 2010). Genes displaying adjusted p-value < 0.05.
Project description:We provide raw gene sequences of 174 flowering time regulatory genes and gene othologs across a large barley population (895 barley lines) selected from a collection of landrace, cultivated barley, and research varieties of diverse origin. This set represents the whole variety of cultivated barley lifeforms, namely two- and six-row genotypes with winter, spring, and facultative growth habits. We applied a target capture method based on in-solution hybridization using the myBaits® technology (Arbor Biosciences, Ann Arbour, MI, USA) which is based on in-solution biotinylated RNA probes. Baits were designed for flowering time regulatory genes and gene othologs, and used for production of 80mer capture oligonucleotides for hybridization. Genomic DNA was extracted from leaves of a single two-week old barley plant per variety using the cetyl-trimethyl-ammonium bromide (CTAB) method. Physical shearing of genomic DNA was performed with an average size of 275 bp. Library preparation was conducted with KAPA Hyper Prep Kit (KAPA Biosystems, Wilmington, MA). Hybridization of customised RNA baits with capture pools was performed at 65°C for 24 hours. Each pooled sequence capture library was sequenced on an Illumina HiSeq3000 instrument using three lanes to generate paired-end reads per sample. Genome sequencing was conducted at AgriBio, (Centre for AgriBioscience, Bundoora, VIC, Australia).
Project description:Comparison of TopHat alignments and assessment of spurious splice junctions for 32nt and 76nt read lengths. Total RNA from 2-week-old Arabidopsis thaliana (ecotype Columbia) seedlings grown on MS plates was isolated using RNeasy Plant Mini Kit from Qiagen. To remove any contaminating DNA, RNA was treated with DNAse. Isolation of poly (A) mRNA and preparation of cDNA library were carried out using the Illumina TrueSeq RNA kit. Sequencing (72 cycle) was done on Illumina Genome Analyzer II. 2 replicates
Project description:The poly(A)+ and poly(A)− fractions of interacting and non-interacting cells were used for distinct library preparation of interacting and non-interacting prokaryotic pathogen and eukaryotic host cells by deepSuperSAGE. Sequencing was performed with the Illumina HiSeq 2000 platform, and one point of time post infection (early interaction) was additionally prepared by Massive Analysis of cDNA Ends (MACE) as alternative tag-based library preparation method. 10 deepSuperSAGE and 2 MACE libraries. Please consult the publication mentioned in the following for more details.
Project description:T-cell acute lymphoblastic leukemia (T-ALL) is an immature hematopoietic malignancy driven mainly by oncogenic activation of NOTCH1 signaling. In this study we conduct expression analysis in NOTCH1-IC-induced tumors in Utx wild-type (Utx+/+ or Utx+/Y) and knockout (Utx-/Y) background. These results, coupled to genomic analysis of primary samples for the genomic status of the UTX gene in T-ALL, helped us to characterize the hitherto understudied role of Utx as an oncogenic facilitator in leukemia and the contrasting expression signatures between JMJD3 and UTX in this disease. Whole RNA was extracted from 1-5 million primary cells from Notch1-IC-expressing (sorted populations of) mouse T-ALL tumors using the RNAeasy kit (Qiagen) according to the manufacturer’s protocol. Poly-A+ (magnetic oligodT-containing beads (Invitrogen)) or Ribominus RNA was used for library preparation. cDNA preparation and strand-specific library construction was performed using the dUTP method. Libraries were sequenced on the Illumina HiSeq 2000 using 50bp single-read method. Differential gene expression analysis was performed between knockout vs wild-type background samples. Analysis was performed using DEGseq package leading to very similar conclusions.
Project description:T-cell acute lymphoblastic leukemia (T-ALL) is an immature hematopoietic malignancy driven mainly by oncogenic activation of NOTCH1 signaling. In this study we chemically inhibited the H3K27me3 demethylase JMJD3 using the GSKJ4 inhibitor and assayed for genome-wide changes in H3K27me3 and JMJD3 enrichment. This piece of data was further integrated to expression changes using RNA sequencing as well as ChIP-Sequencing analysis of H3K27me3 upon genomic knock-down of JMJD3 and UTX. These results, coupled to genomic analysis of primary samples for the genomic status of the UTX gene in T-ALL, helped us to identify a hitherto unknown role of JMJD3 as an oncogenice facilitator in leukemia whereas UTX seems to play a tumor suppressor role. Whole RNA was extracted from 1-5 million primary cells from CUTLL1 human T cell leukemia cells untreated or treated with 2micromolar GSKJ4 using the RNAeasy kit (Qiagen) according to the manufacturer’s protocol. Poly-A+ (magnetic oligodT-containing beads (Invitrogen)) or Ribominus RNA was used for library preparation. cDNA preparation and strand-specific library construction was performed using the dUTP method. Libraries were sequenced on the Illumina HiSeq 2000 using 50bp single-read method. Differential gene expression analysis was performed between knockout vs wild-type background samples. Analysis was performed using DEGseq package leading to very similar conclusions.
Project description:We report novel single-cell RNA-Seq, called Quartz-Seq. Quartz-Seq was simplified method compared with previous methods based on poly-A tailing reaction. RNA-seq by illumina TruSeq, KAPA library preparation kit, single-cell Quartz-Seq and single-cell Smart-Seq by illumina HiSeq 2000/1000
Project description:Removal of introns by pre-mRNA splicing is a critical and in some cases rate-limiting step in mammalian gene expression. Deep sequencing of mouse embryonic stem cell RNA revealed many specific internal introns that are significantly more abundant than the other introns within poly(A) selected transcripts; we classify these as “detained” introns (DIs). We identified thousands of DIs flanking both constitutive and alternatively spliced exons in human and mouse cell lines. Drug inhibition of Clk SR-protein kinase activity triggered rapid splicing changes in a specific set of DIs, about half of which showed increased splicing and half increased intron detention, altering the transcript pool of over 300 genes. These data suggest a widespread mechanism by which a nuclear detained pool of mostly processed pre-mRNAs can be rapidly mobilized in response to stress or homeostatic autoregulation. v6.5 mouse embryonic stem cells were untreated, treated with the Clk kinase inhibitor KH-CB19, or treated with DMSO as a negative control. Untreated cells were harvested and a single replicate was sequenced using a custom, ligation-based, stranded library preparation protocol. Treated cells were harvested at time 0 and at 2 hours post-treatment, and poly(A)-selected RNA-seq libraries were made from biological duplicates for each treatment/time, barcoded, and sequenced by strand-specific, paired-end sequencing using the Illumina TruSeq kit.