Project description:<div>Olive (<i>Olea europaea</i>) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><b><br></b></div><div><b>Polyphenols UPLC-MS</b> protocols and data are reported in the current study <b>MTBLS814</b>.</div><div><br></div><div><b>GC-MS</b> protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS855">MTBLS855</a></b>.</div><div><br></div><div><span _ngcontent-iov-c3="" class="ng-star-inserted"><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</b></span></span></div><div><br></div><div><br></div>
Project description:<div>Olive (Olea europaea) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><br></div><div><div><b>GC-MS</b> protocols and data are reported in the current study <b>MTBLS855</b>.</div><div><br></div><div><span _ngcontent-jcp-c3="" class="ng-star-inserted"><b>Polyphenols UPLC-MS</b></span> protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814">MTBLS814</a></b>.</div><div><br></div><div><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814"><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</a></b></span></div></div>
2019-05-07 | MTBLS855 | MetaboLights
Project description:Performance difference of graph-based and alignment-based hybrid error correction methods for error-prone long reads
Project description:To protect against aneuploidy, chromosomes must attach to microtubules from opposite poles (“biorientation”) prior to their segregation during mitosis. Biorientation relies on the correction of erroneous attachments by the aurora B kinase, which destabilizes kinetochore-microtubule attachments that lack tension. Incorrect attachments are also avoided because sister kinetochores are intrinsically biased towards capture by microtubules from opposite poles. Here we show that shugoshin acts as a pericentromeric adaptor that plays dual roles in biorientation in budding yeast. Shugoshin maintains the aurora B kinase at kinetochores that lack tension, thereby engaging the error correction machinery. Shugoshin also recruits the chromosome-organising complex, condensin, to the pericentromere. Pericentromeric condensin biases sister kinetochores towards capture by microtubules from opposite poles. Overall, shugoshin integrates a bias to sister kinetochore capture with error correction to enable chromosome biorientation. Our findings uncover the molecular basis of the bias to sister kinetochore capture and expose shugoshin as a pericentromeric hub controlling chromosome biorientation.
Project description:<div>Olive (Olea europaea) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><br><span _ngcontent-ook-c3= class=ng-star-inserted><span _ngcontent-jcp-c3= class=ng-star-inserted><span _ngcontent-iov-c3= class=ng-star-inserted><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3= class=ng-star-inserted>protocols and data associated to this study are reported in the current study</span></span></span></span><b><span _ngcontent-ook-c3= class=ng-star-inserted><span _ngcontent-jcp-c3= class=ng-star-inserted><span _ngcontent-iov-c3= class=ng-star-inserted><span _ngcontent-iov-c3= class=ng-star-inserted> MTBLS1127.<br></span></span></span></span></b></div><div><span _ngcontent-jcp-c3= class=ng-star-inserted><div><b><br></b></div><div><b>Polyphenols UPLC-MS</b> protocols and <span _ngcontent-ook-c3= class=ng-star-inserted><span _ngcontent-jcp-c3= class=ng-star-inserted>data associated to this study are reported in</span></span> <a href=https://www.ebi.ac.uk/metabolights/MTBLS814><b>MTBLS814</b></a>.</div><div><br></div><div><b>GC-MS</b> protocols and data associated to this study are reported in <b><a href=https://www.ebi.ac.uk/metabolights/MTBLS855>MTBLS855</a></b>.</div><div><br></div></span></div>
Project description:To protect against aneuploidy, chromosomes must attach to microtubules from opposite poles (“biorientation”) prior to their segregation during mitosis. Biorientation relies on the correction of erroneous attachments by the aurora B kinase, which destabilizes kinetochore-microtubule attachments that lack tension. Incorrect attachments are also avoided because sister kinetochores are intrinsically biased towards capture by microtubules from opposite poles. Here we show that shugoshin acts as a pericentromeric adaptor that plays dual roles in biorientation in budding yeast. Shugoshin maintains the aurora B kinase at kinetochores that lack tension, thereby engaging the error correction machinery. Shugoshin also recruits the chromosome-organising complex, condensin, to the pericentromere. Pericentromeric condensin biases sister kinetochores towards capture by microtubules from opposite poles. Overall, shugoshin integrates a bias to sister kinetochore capture with error correction to enable chromosome biorientation. Our findings uncover the molecular basis of the bias to sister kinetochore capture and expose shugoshin as a pericentromeric hub controlling chromosome biorientation. Two experiments: Experiment A: Sgo1 is required for condensin localization in the pericentromere. Sample 1: Wild type input DNA Sample 2: Wild type Brn1-6HA ChIP DNA, Sample 3 sgo1D input DNA, Sample 4 sgo1D Brn1-6HA ChIP DNA; Experiment B: Sgo1 is not required for cohesin localization in the periecentromere: Sample 5: wild type input DNA, Sample 6 Wild type Scc1-6HA ChIP DNA, Sample 7, sgo1D input DNA, Sample 8 sgo1D Scc1-6HA ChIP DNA. 1 replicate of each repeat
Project description:Immunotherapy using CD19-directed chimeric antigen receptor (CAR)-T cells has shown excellent results for treatment of B-cell leukaemia and lymphoma. To produce CAR-T cells, the patient’s own T cells are isolated from the blood and modified in a laboratory with a genetic vector to express a tumor antigen-directed CAR on its surface. The CAR-T cells are then expanded in numbers and given back to the patient with the aim to eradicate the tumors. However, some patients display primary resistance to CAR-T treatment while others relapse quickly after CAR-T treatment. In this experiment, we seek to understand whether the quality of the individual CAR-T cell product the patients were given can predict outcome to the therapy. We investigate the transcriptional profile of the individual CAR-T infusion products using single-cell RNA sequencing. In this dataset, we identified a T cell subset correlating with response that could be used as an indicator for clinical outcome. Targeted RNA and protein single-cell libraries were obtained using the BD Rhapsody platform (BD Biosciences). In total four separate targeted libraries were produced with 6 patients per library. Sequencing was performed on NovaSeq 6000 S1 sequencer at the SNP&SEQ Technology Platform (Uppsala, Sweden). The raw scRNA-seq data was pre-processed by BD Biosciences using the Rhapsody Analysis pipeline to convert the raw reads into Unique Molecular Identifier (UMI) counts. UMIs are further adjusted within Rhapsody by applying BD’s Recursive Substitution Error Correction (RSEC) and Distribution-Based Error Correction (DBEC) in order to remove false UMIs caused by sequencing or library preparation errors. Pooled samples were deconvoluted using Sample-tag reads. The scRNA-seq and AbSeq counts were loaded, processed and used for clustering and differential gene expression with Seurat v. 4.0.0.