Genome-wide and experimental resolution of relative translation elongation speed at individual gene level in human cells
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ABSTRACT: In the process of translation, ribosomes first bind to mRNAs (translation initiation) and then move along the mRNA (elongation) to synthesize proteins. Elongation pausing is deemed highly relevant to co-translational folding of nascent peptides and the functionality of protein products, which positioned the evaluation of elongation speed as one of the central questions in the field of translational control. By employing three types of RNA-seq methods, we experimentally and computationally resolved elongation speed at individual gene level and under physiological condition in human cells. We proposed the elongation velocity index (EVI) as a relative measure and successfully distinguished slow-translating genes from the background translatome. The proteins encoded by the low-EVI genes are more stable than the proteome background. In normal cell and lung cancer cell comparisons, we found that the relatively slow-translating genes are relevant to the maintenance of malignant phenotypes. In addition, we identified cell-specific slow-translating codons, which may serve as a causal factor of elongation deceleration. We sequenced mRNA, translating mRNA (RNC-mRNA) and ribosome footprints in normally growing HeLa cells.
Project description:This experiment performed RNA-seq of transcriptome and translatome (translating mRNA) of Caco-2 cells We extracted transcriptome and translatome from Caco-2 cells and deep sequenced them
Project description:We sequenced the total mRNA and translating mRNA (RNC-mRNA) of three hepatocellular carcinoma cell lines Hep3B, HCCLM3 and MHCC97H For each cell line, samples prepared from three independent and identical cell cultures were pooled with equal amounts. C-HPP China Team
Project description:This SuperSeries is composed of the following subset Series: GSE36882: Critical Role of STAT5 Transcription Factor Tetramerization for Cytokine Responses and Normal Immune Function (ChIP-Seq and RNA-Seq) GSE36888: Critical Role of STAT5 Transcription Factor Tetramerization for Cytokine Responses and Normal Immune Function (RNA) Refer to individual Series
Project description:Human breast cancer cells MDA-MB-435 had higher metastatic potential and other aggressive characteristics than MCF-7 cells. Next-generation RNA sequencing (RNA-Seq) was used to clear this concern through comparison the transcriptomic expression profiles of these two cells. Total RNA were extracted from MCF-7 and MDA-MB-435S cells, and the polyA+ mRNA was sequenced using Illumina Genome Analyzer IIx. The reads were mapped to RefSeq RNA reference sequences.
Project description:Proteomics on B. thuringiensis CT_43 cells in GYS medium. Two biological replicate cell samples were collected at time points of 7 h, 9 h, 13 h and 22 h, respectively. The crude proteins were purified using the ReadyPrep 2-D Cleanup Kit, underwent the reductive alkylation, tryptically digested, and were labeled with 8-plex iTRAQ reagents as follows: 7 h-1, 113; 7 h-2, 114; 9 h-1, 115; 9 h-2, 116; 13 h-1, 117; 13 h-2, 118; 22 h-1, 119; and 22 h-2, 121. The labeled samples were pooled and resolved into 12 fractions, which were loaded onto LC-MSMS.
Project description:We systematically analyzed transcriptome in individual human oocytes and preimplantation embryos with a new single-cell RNA seq method we recently developed. We sequenced individual single cells or embryos at seven consecutive stages (mature oocytes, zygotes, 2-cell, 4-cell, 8-cell embryos, morulae, and blastocysts) and single hESC using single-cell RNA seq.
Project description:Gene expression analysis of purified KitL-tomato+ and KitL-tomato- thymic vascular endothelial cells, cortical and medullary thymic epithelial cells from 5 weeks old male kitL-tomato reporter mice Differentially expressed genes analysis of thymic stromal cells
Project description:Purpose: Ribosome profiling and RNA-Seq were used to map the location and abundance of translating ribosomes on mouse heart and skeletal muscle transcripts. Methods: Tissue was rapidly harvested and snap-frozen to minimize bias to the pool of translating ribosomes. RNA was prepared from a single homogenate for each tissue so that starting RNA populations for both libraries were closely matched. Homogenates were not clarified before RNase digestion to avoid loss of ribosomes associated with large molecular weight complexes, and RNA-Seq libraries were prepared after rRNA subtraction to avoid positional loss of 5’ reads. Trimmed reads from 50 cycles of Illumina single-end sequencing were mapped onto a non-redundant set of 18,499 mouse protein-coding RefSeq transcripts from the nuclear genome. Results: Mapped sequence reads to myosin, actin and the giant protein titin together account for ~20% of the total mRNA-derived ribosome protected fragments (RPFs). We observed large-scale uniformity in the distribution of RPFs on the >30,000 codon titin open reading frame, from which we inferred an in vivo ribosome elongation error rate of ≤10-5. Ribosome footprints on Ttn mRNA also uncovered a novel 5’ UTR within a phylogenetically conserved intronic element that would produce ~2.35 mDa titin isoform that corresponds to the titin 'T2' band frequently described as a proteolytic artifact. Local translation efficiency across several >10 kb muscle mRNAs was also uniform, while their global translation efficiencies varied by ~20-fold suggesting initiation rate plays a major role in the translation efficiency of large mRNAs. Evidence for RPFs on 5’ UTRs was widespread with particular enrichment for ribosomes positioned at CUG codons. Comparison of global translation efficiency in cardiac and skeletal muscle revealed novel examples of tissue-specific translational control including synthesis of the myogenic factor Mef2c, and the titin-binding stress response protein Ankrd23. Conclusions: Our study represents the first detailed analysis of translation in an adult mammalian tissue generated by ribosome profiling technology. Current limitations to using ribosomal profiling in tissues include unknown perturbations to the dynamic state of translation despite rapidly harvested and snap-frozen samples. The uniform 5’ to 3’ coverage observed on individual large mRNAs and the ability to observe footprints on the extremely small phospholamban coding sequence, suggests that initiation and elongation were halted on similar time scales. More detailed examination of the positional information within CDS region requires further understanding of the bias introduced during the library preparation steps for both RPF-and RNA-Seq, as well as local biases induced as translation is arrested. Despite these qualifications, this initial view of active translation in muscle tissue highlights the potential for ribosome profiling to monitor the dynamic translation response to exercise, injury or disease pathology in animal models at a level of resolution not easily attainable with other quantitative approaches. Heart and skeletal muscle ribosome-protected fragment and RNA-Seq profiles of 10-week old C57BL/6J male mice were generated by deep sequencing using the Illumina HiSeq 2000.
Project description:The discovery of TET proteins, enzymes that oxidize 5-methylcytosine (5mC) in DNA, has revealed novel mechanisms for the regulation of DNA methylation. We have mapped 5-hydroxymethylcytosine (5hmC) at different stages of T cell development in the thymus and T cell differentiation in the periphery. We show that 5hmC is enriched in the gene body of highly expressed genes at all developmental stages, and that its presence correlates positively with gene expression. Further emphasizing the connection with gene expression, we find that 5hmC is enriched in active thymus-specific enhancers, and that genes encoding key transcriptional regulators display high intragenic 5hmC levels in precursor cells at those developmental stages where they exert a positive effect. Our data constitute a valuable resource that will facilitate detailed analysis of the role of 5hmC in T cell development and differentiation. Transcriptome profiling of naïve CD4 and CD8 cells
Project description:Recognition of modified histones by “reader” proteins plays a critical role in the regulation of transcription1. H3K36 trimethylation (H3K36me3) is deposited onto the nucleosomes in the transcribed regions following RNA polymerase II (Pol II) elongation. In yeast, this mark in turn recruits epigenetic regulators to reset the chromatin at an appropriate state to suppress cryptic transcription2,3. However, much less is known about the role of H3K36me3 in transcription regulation in mammals. This is further complicated by the transcription-coupled incorporation of the histone variant H3.3 in gene bodies4. Here we show that the candidate tumor suppressor ZMYND11 specifically recognizes H3K36me3 on H3.3 (H3.3K36me3) and regulates Pol II elongation. Structural studies reveal that in addition to the trimethyl-lysine binding by an aromatic cage within the PWWP domain, the H3.3-dependent recognition is mediated by the encapsulation of the H3.3-specific “Ser31” residue in a composite pocket formed by the tandem bromo-PWWP domains of ZMYND11. ChIP-sequencing analysis reveal a genome-wide colocalization of ZMYND11 with H3K36me3 and H3.3 in gene bodies, and its occupancy requires the pre-deposition of H3.3K36me3. Although ZMYND11 is associated with highly expressed genes, it functions as an unconventional transcription corepressor via modulating the transition of the promoter-proximal paused Pol II to elongation. ZMYND11 is critical for the repression of a transcriptional program that is essential for tumor cell growth; higher expression of ZMYND11 is observed in triple-negative breast cancer patients with better prognosis. Consistently, overexpression of ZMYND11 suppresses cancer cell growth and tumor formation in mice. Together, this study identifies ZMYND11 as an H3.3-specific reader of H3K36me3 that links the histone variant-mediated transcription elongation control to tumor suppression. ChIP-seq analysis of ZMYND11, H3K36me3 in U2OS cells and ZMYND11 knockdown cells; ChIP-seq of H3.3 in Flag-H3.3 stable U2OS cells; RNA-seq of ZNYMD11 depleted U2OS cells.