Ontology highlight
ABSTRACT:
PROVIDER: PRJNA778050 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16796941.fastq.gz | Fastqsanger.gz | |||
| SRR16796942.fastq.gz | Fastqsanger.gz | |||
| SRR16796943.fastq.gz | Fastqsanger.gz | |||
| SRR16796944.fastq.gz | Fastqsanger.gz | |||
| SRR16796945.fastq.gz | Fastqsanger.gz |
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Project description:We analyzed the effect of deleting the gene encoding putative RNA helicase DBP1 in budding yeast on translational efficiencies (TEs) genome wide in wild-type or ded1-ts (temperature-sensitive allele of DED1) strains by combining ribosome footprint profiling with RNA-seq analysis of mRNA abundance. This study includes a total of 32 samples comprised of 16 RNA-Seq samples (mRNA) and 16 ribosome footprint profiling samples (ribo). Experiment 1 includes 8 samples, comprised of 4 RNA-Seq samples and 4 ribosome footprint profiling samples, derived from 2 biological replicates each of the dbp1Δ and ded1-ts dbp1Δ mutant strains, cultured in synthetic complete (SC) medium, following shifts in growth temperature from 30°C to 37°C for 2h. Experiment 2 examines the effect of overexpression of DBP1 in rescuing genome-wide translational defects of a ded1-cs mutant (cold-sensitive allele of DED1) and includes 12 samples, 6 RNA-Seq samples and 6 ribosome footprint profiling samples, derived from 2 biological replicates each of WT DED1 (dubbed DED1-CS), ded1-cs and ded1-cs overexpressing DBP1 (ded1-cs_hcDBP1) strains, cultured in SC-Leu-His medium, following shifts in growth temperature from 30°C to 15°C for 10 min. Experiment 3 examines rescue of translational defects of ded1-ts by DBP1 overexpression and includes 12 samples, 6 RNA-Seq samples and 6 ribosome footprint profiling samples, derived from 2 biological replicates each of WT DED1(DED1-TS), ded1-ts and ded1-ts overexpressing DBP1 (ded1-ts_hcDBP1) strains, cultured in SC-Leu-His medium, following shifts in growth temperature from 30°C to 37°C for 2h.
2018-03-01 | GSE111255 | GEO
Project description:Fed-batch cultivation of recombinant Chinese hamster ovary (CHO) cell lines is one of the most widely used production mode for commercial manufacturing of recombinant protein therapeutics. Furthermore, fed-batch cultivations are often conducted as biphasic processes where culture temperature is decreased to maximize volumetric product yields. However, it still remains to be elucidated which intracellular regulatory elements actually control the observed pro-productive phenotypes. Recently, several studies have revealed microRNAs (miRNAs) to be important molecular switches of cell phenotypes since single miRNAs are capable of regulating entire physiological pathways. In this study, we analyzed miRNA profiles of two different recombinant CHO cell lines (high and low producer), and compared them to a non-producing CHO DG44 host cell line during fed-batch cultivation at 37 versus 30 °C culture temperature. Taking advantage of next-generation sequencing combined with cluster, correlation and differential expression analyses, we could identify 89 different miRNAs, which might be interesting for CHO cell engineering. Functional validation experiments using 19 validated target miRNAs confirmed that these miRNAs indeed induced changes in process relevant phenotypes such as recombinant protein production, apoptosis, necrosis and proliferation. Furthermore, computational miRNA target prediction combined with functional clustering identified putative target genes and cellular pathways, which might be regulated by these miRNAs. Taken together, our study systematically identified novel target miRNAs during different phases and conditions of a biphasic fed-batch process and functionally evaluated their potential for host cell engineering. 36 miRNA libraries from three different CHO cell lines and two process condition. In the control run temperature was maintained at 30°C, while temperature was reduced to 30°C after reaching mid exponential phase
2016-04-03 | E-GEOD-72945 | biostudies-arrayexpress
Project description:DEAD-box RNA helicases eIF4A and Ded1 are believed to promote translation initiation by resolving mRNA secondary structures that impede ribosome attachment at the mRNA 5’ end or subsequent scanning of the 5’UTR, but whether they perform distinct functions or act redundantly in vivo is poorly understood. We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling. Despite similar reductions in bulk translation, inactivation of a cold-sensitive Ded1 mutant substantially reduced the TEs of >600 mRNAs, whereas inactivation of a temperature-sensitive eIF4A mutant yielded <40 similarly impaired mRNAs. The broader requirement for Ded1 did not reflect more pervasive secondary structures at low temperature, as inactivation of temperature-sensitive and cold-sensitive ded1 mutants gave highly correlated results. Interestingly, Ded1-dependent mRNAs exhibit greater than average 5’UTR length and propensity for secondary structure, implicating Ded1 in scanning though structured 5' UTRs. Reporter assays confirmed that cap- distal stem-loop insertions increase dependence on Ded1 but not eIF4A for efficient translation. While only a small fraction of mRNAs is strongly dependent on eIF4A, this dependence is significantly correlated with requirements for Ded1 and 5’UTR features characteristic of Ded1- dependent mRNAs. Our findings suggest that Ded1 is critically required to promote scanning through secondary structures within 5’UTRs; and while eIF4A cooperates with Ded1 in this function, it also promotes a step of initiation common to virtually all yeast mRNAs. We compared the effects of mutations in Ded1 or eIF4A on global translational efficiencies (TEs) in yeast by ribosome footprint profiling.The study includes 32 samples, comprised of 16 mRNA-Seq samples and 16 ribosome footprint profiling samples, derived from biological replicates of 3 mutant strains, ded1-cs, ded1-ts and tif1-ts, and the corresponding wild-type strains. The tif1-ts mutant and its wild-type counterpart were analyzed at 30°C and 37°C.
2015-03-02 | E-GEOD-66411 | biostudies-arrayexpress
Project description:We developed an artificial gene expression system with transcriptional positive-feedback loop of transactivator to induce the high expression of target genes in CHO cells. DNA microarray analysis was conducted in semi-continuous culture with high-cell-density culture under normal and low temperature conditions of recombinant scFv-Fc-producer CHO cells (CHO/aTF_scFv-Fc2 cells).
2024-01-01 | E-MTAB-13440 | biostudies-arrayexpress
Project description:Fed-batch cultivation of recombinant Chinese hamster ovary (CHO) cell lines is one of the most widely used production mode for commercial manufacturing of recombinant protein therapeutics. Furthermore, fed-batch cultivations are often conducted as biphasic processes where culture temperature is decreased to maximize volumetric product yields. However, it still remains to be elucidated which intracellular regulatory elements actually control the observed pro-productive phenotypes. Recently, several studies have revealed microRNAs (miRNAs) to be important molecular switches of cell phenotypes since single miRNAs are capable of regulating entire physiological pathways. In this study, we analyzed miRNA profiles of two different recombinant CHO cell lines (high and low producer), and compared them to a non-producing CHO DG44 host cell line during fed-batch cultivation at 37 versus 30 °C culture temperature. Taking advantage of next-generation sequencing combined with cluster, correlation and differential expression analyses, we could identify 89 different miRNAs, which might be interesting for CHO cell engineering. Functional validation experiments using 19 validated target miRNAs confirmed that these miRNAs indeed induced changes in process relevant phenotypes such as recombinant protein production, apoptosis, necrosis and proliferation. Furthermore, computational miRNA target prediction combined with functional clustering identified putative target genes and cellular pathways, which might be regulated by these miRNAs. Taken together, our study systematically identified novel target miRNAs during different phases and conditions of a biphasic fed-batch process and functionally evaluated their potential for host cell engineering.
2016-04-03 | GSE72945 | GEO
Project description:Ribosome profiling is a widespread tool for studying translational dynamics in human cells. Its central assumption is that ribosome footprint density on a transcript quantitatively reflects protein synthesis. Here, we test this assumption using pulsed-SILAC (pSILAC) high-accuracy targeted proteomics. We focus on multiple myeloma cells exposed to bortezomib, a first-line chemotherapy and proteasome inhibitor. In the absence of drug effects, we found that direct measurement of protein synthesis by pSILAC correlated well with indirect measurement of synthesis from ribosome footprint density. This correlation, however, broke down under bortezomib-induced stress. By developing a statistical model integrating longitudinal proteomic and mRNA-seq measurements, we found that proteomics could directly detect global alterations in translational rate caused by bortezomib; these changes are not detectable by ribosomal profiling alone. Further, by incorporating pSILAC data into a gene expression model, we predict cell-stress specific proteome remodeling events. These results demonstrate that pSILAC provides an important complement to ribosome profiling in measuring proteome dynamics. Timecourse experiment with six points over 48hr after bortezomib exposure in MM.1S myeloma cells. mRNA-seq and ribosome profiling data at each time point.
2017-05-18 | E-GEOD-69047 | biostudies-arrayexpress
Project description:Ribosome-footprint profiling provides genome-wide snapshots of translation, but technical challenges can confound its analysis. Here, we use improved methods to obtain ribosome-footprint profiles and mRNA abundances that more faithfully reflect gene expression in Saccharomyces cerevisiae. Our results support proposals that both the beginning of coding regions and codons matching rare tRNAs are more slowly translated. They also indicate that emergent polypeptides with as few as three basic residues within a 10-residue window tend to slow translation. With the improved mRNA measurements, the variation attributable to translational control in exponentially growing yeast was less than previously reported, and most of this variation could be predicted with a simple model that considered mRNA abundance, upstream open reading frames, cap-proximal structure and nucleotide composition, and lengths of the coding and 5'-untranslated regions. Collectively, our results provide a framework for executing and interpreting ribosome-profiling studies and reveal key features of translational control in yeast. Ribosome-footprint profiling and RNA-seq (total RNA, poly(A) selected, RiboMinus treated, or Ribo-Zero treated) from log-phase S. cerevisiae. The study includes a reanalysis of the two Samples from GSE53313. The reanalyzed data is linked to the Series record.
2016-02-10 | E-GEOD-75897 | biostudies-arrayexpress
Project description:Yeast strains lacking orthologs of mammalian eIF2D (Tma64), and either MCT-1 (Tma20) or DENR (Tma22) are broadly impaired for 40S recycling; however, it was unknown whether this defect leads to reduced 43S PIC levels with an impact on translation of particular mRNAs. To test this, we by combined ribosome footprint profiling with RNA-seq analysis of mRNA abundance.
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