Human iPSC-derived closed-loop cardiac tissue for drug assessment
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ABSTRACT:
PROVIDER: PRJNA1055913 | ENA |
REPOSITORIES: ENA
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Project description:Human iPSC-derived cardiomyocytes (hiPSC-CMs) exhibit functional immaturity, potentially impacting their suitability for assessing drug proarrhythmic potential. We previously devised a Traveling Wave (TW) system to promote maturation in 3D cardiac tissue. To align with current drug assessment paradigms (CiPA and JiCSA), necessitating a 2D monolayer cardiac tissue, we integrated the TW system with a multi-electrode array. This gave rise to a hiPSC-derived closed-loop cardiac tissue (iCT), enabling spontaneous TW initiation and swift pacing of cardiomyocytes from various cell lines. The TW-paced cardiomyocytes demonstrated heightened sarcomeric and functional maturation, exhibiting enhanced response to isoproterenol. Moreover, these cells showcased diminished sensitivity to verapamil and maintained low arrhythmia rates with ranolazine—two drugs associated with a low risk of torsades de pointes (TdP). Notably, the TW group displayed increased arrhythmia rates with high and intermediate risk TdP drugs (quinidine and pimozide), underscoring the potential utility of this system in drug assessment applications..
2024-01-07 | GSE251914 | GEO
Project description:Closed-loop bioleaching of lithium cobalt oxide
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Project description:DEAD-box RNA helicases eIF4A and Ded1 promote translation by resolving mRNA secondary structures that impede preinitiation complex (PIC) attachment to mRNA or scanning. eIF4B is a cofactor for eIF4A but might also function independently of eIF4A. Ribosome profiling of mutants lacking eIF4B or with impaired eIF4A or Ded1 activity revealed that eliminating eIF4B reduces the relative translational efficiencies of many more genes than does inactivation of eIF4A, despite comparable reductions in bulk translation, and few genes display unusually strong requirements for both factors. However, either eliminating eIF4B or inactivating eIF4A preferentially impacts mRNAs with longer, more structured 5’UTRs. These findings reveal an eIF4A-independent role for eIF4B in addition to its function as eIF4A cofactor in promoting PIC attachment or scanning on structured mRNAs. eIF4B, eIF4A, and Ded1 mutations also preferentially impair translation of longer mRNAs in a fashion mitigated by the ability to form closed-loop mRNPs via eIF4F-Pab1 association, suggesting cooperation between closed-loop assembly and eIF4B/helicase functions. Remarkably, depleting eIF4G, the scaffold subunit of eIF4F, preferentially impacts short mRNAs with strong closed-loop potential and unstructured 5’UTRs, exactly the opposite features associated with hyperdependence on the eIF4B/helicases. We propose that short, highly efficient mRNAs preferentially depend on the stimulatory effects of eIF4G-dependent closed-loop assembly.
2016-05-27 | GSE81966 | GEO
Project description:Interventions: intelligent adjustment group (group A):Application of ‘’closed-loop feedback automatic medication’’ intelligent pain pump for postoperative venous pain;Normal intelligent group (Group C) :Application of common intelligent pain pump for postoperative venous pain
Primary outcome(s): The 15-item quality of recovery, QoR-15
Study Design: Parallel
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Project description:Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.
2024-06-12 | GSE219069 | GEO
Project description:Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.
2024-06-12 | GSE246423 | GEO
Project description:Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.
2024-06-11 | GSE219068 | GEO
Project description:The aim of this experiment was to look at RNAs which associate with members of the closed loop complex (eIF4E, eIF4GI, eIF4GII, Pab1p) and inhibtors of the complex (Caf20p, Eap1p) under optimal growth conditions in the Saccharomyces cerevisiae BY4741 strain background. NOTE: The csfasta and qual files associated with sample eIF4G1-IP(1) (ERS435094) were changed on 17th October 2014 and a new run accession assigned to the new files (ERR657892).
2014-08-01 | E-MTAB-2464 | biostudies-arrayexpress
Project description:Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.
2024-06-12 | GSE219070 | GEO
Project description:Many oncology drugs have been found to induce cardiotoxicity in a subset of patients, which significantly limits their clinical use and impedes the benefit of lifesaving anti-cancer treatments. Human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) carry donor-specific genetic information and have been proposed for explore the inter-individual difference in oncology drug-induced cardiotoxicity. Herein, we evaluated the inter- and intra- individual variability of iPSC-CM-related assays and presented a practical approach for using donor-specific iPSC-CMs to predict personalized doxorubicin (DOX)-induced cardiotoxicity (DIC) prior to chemotherapy. Our findings demonstrated that donor-specific iPSC-CMs exhibited greater line-to-line variability than the intra-individual variability in impedance cytotoxicity and transcriptome assays. The variable and dose-dependent cytotoxic responses of iPSC-CMs resembled those observed in clinical practice, and largely replicated the reported mechanisms of DIC. By categorizing iPSC-CMs into DOX-resistant and DOX-sensitive cell lines based on their phenotypic reactions to DOX, we found that the sensitivity of donor-specific iPSC-CMs to DOX may predict in vivo DIC risk. Furthermore, we assessed the limitations of the model for identification of potential genetic/molecular biomarker and pinpointed a differentially expressed gene, DND microRNA-mediated repression inhibitor 1 (DND1), between the DOX-resistant and DOX-sensitive iPSC-CMs. We also discussed the selection of DOX dose and exposure duration for inter-individual variability of DIC assessment. Our results support the utility of donor-specific iPSC-CMs in assessing inter-individual difference and enabling personalized cardiotoxicity prediction. Further studies will encompass a large panel of donor-specific iPSC-CMs to investigate the role of the DND1 and known DIC genetic variants, and to identify potential novel molecular and genetic biomarkers for predicting DOX and other oncology drug-induced cardiotoxicity.
2024-09-07 | GSE242692 | GEO