Genome-wide DNA access sites in ventilated preterm lamb lungs [ATAC-seq]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA687665 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR13301858_1.fastq.gz | Fastqsanger.gz | |||
| SRR13301858_2.fastq.gz | Fastqsanger.gz | |||
| SRR13301859_1.fastq.gz | Fastqsanger.gz | |||
| SRR13301859_2.fastq.gz | Fastqsanger.gz | |||
| SRR13301860_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: ATAC-seq was performed on preterm lambs that were ventilated by invasive mechanical ventilation or noninvasive respiratory support utilizing a mask and compared to gestation-age-matched preterm lambs that were not ventilated and naturally delivered term lambs. Methods: Lung chromatin access profiles were generated for: 1) Unventilated preterm lamb, 2) preterm lambs delivered at gd131 and intubated and mechanically ventilated for 3 days, 3) preterm lambs delivered at gd131 and not intubated and resuscitated by placing a face mask over the nose and mouth and controlling O2 delivery via a computer-controlled electronic blower device, 4) unventilated naturally delivered full-term lambs. Results: Using an optimized data analysis workflow, we mapped between 76 and 96 million sequence reads per sample to the sheep genome Conclusions: Our study represents the first detailed analysis of ventilated preterm lung chromatin access, with biologic replicates, generated by ATAC-seq
2021-06-30 | GSE163807 | GEO
Project description:Purpose: The goal of this study was to measure by RNA-seq the impact of preterm birth and invasive mechanical ventilation verses noninvasive respiratory support on the lung transcriptome Methods: Lung mRNA profiles were generated for: 1) Unventilated preterm lamb, 2) preterm lambs delivered at gd131 and intubated and mechanically ventilated for 3 days, 3) preterm lambs delivered at gd131 and not intubated and resuscitated by placing a face mask over the nose and mouth and controlling O2 delivery via a computer-controlled electronic blower device, 4) unventilated naturally delivered full-term lambs. Results: Using an optimized data analysis workflow, we mapped between 61 and 81 million sequence reads per sample to the sheep genome Oar_v3.1/oviAri3 Conclusions: Our study represents the first detailed analysis of ventilated preterm lung transcriptomes, with biologic replicates, generated by RNA-seq
2021-06-30 | GSE163806 | GEO
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Project description:This study aimed to use a lamb model of preterm birth to investigate the impact of different bias gas flow strategies, applied during positive pressure ventilation, on lung injury development. Preterm lambs were ventilated for a total of 90 minutes. A group of lambs was euthanised at birth to act as an unventilated control group. At post-mortem lung tissue was sampled for proteomic analysis. Lung tissue samples were analysed by mass spectrometry-based proteomics using a TMT-11plex labelling approach, followed by nano-liquid chromatography coupled to an Eclipse Orbitrap mass spectrometer in a data-dependent acquisition mode.
2025-05-06 | PXD050305 | Pride
Project description:This study aimed to use a lamb model of preterm birth to investigate the impact of different tidal volume strategies, applied during positive pressure ventilation, on lung injury development. Preterm lambs were ventilated for a total of 15 minutes, followed by a 30 minute ‘rest’ period where lambs were supported via the intact placenta. A group of lambs was also euthanised at birth to act as an unventilated control group. At post-mortem lung tissue was sampled for proteomic analysis. Lung tissue samples were analysed by mass spectrometry-based proteomics using a TMT-11plex labelling approach, followed by nano-liquid chromatography coupled to an Q Exactive HF-X benchtop Orbitrap mass spectrometer in a data-dependent acquisition mode.
2023-10-09 | PXD041917 | Pride
Project description:Rationale: Overstretching of lung parenchyma may lead to tissue injury, especially during mechanical ventilation. There are no specific biomarkers of lung stretch. Objectives: To identify transcriptomic signatures of micro-RNAs and genes specifically related to lung stretch and validate them in preclinical models. Methods: Data on micro-RNA expression in response to stretch in experimental models were systematically pooled. Signatures were identified as those micro-RNAs or genes with differential expression in samples from stretched cells, and optimized using a greedy algorithm. Transcriptomic scores were calculated as the difference of geometric means in expression of up- and down-regulated features, and compared among different magnitudes of stretch. The accuracy of these scores was validated in animal models of lung injury, ex vivo mechanically ventilated human lungs and in bronchoalveolar lavage fluid (BALF) from patients under different ventilatory conditions. Measurements and main results: Eight micro-RNAs were differentially expressed in stretched cell cultures (n=24). Amongst the genes regulated by these micro-RNAs, a 180-gene signature was identified in ex vivo models (n=106) and refined using data from animal models (n=143) to obtain a 4-gene signature. The corresponding scores were significantly higher in samples submitted to stretch or injurious mechanical ventilation. The microRNA signatures were validated in human tissue and BALF, with areas under the ROC curve between 0.89 and 1 respectively to identify lung overdistention. Conclusions: Lung cell stretch induces the expression of specific micro-RNA and genes. These signatures may be used to obtain an index of lung overstretching that can be measured at the bedside.
2025-05-01 | GSE234463 | GEO
Project description:Rationale: Overstretching of lung parenchyma may lead to tissue injury, especially during mechanical ventilation. There are no specific biomarkers of lung stretch. Objectives: To identify transcriptomic signatures of micro-RNAs and genes specifically related to lung stretch and validate them in preclinical models. Methods: Data on micro-RNA expression in response to stretch in experimental models were systematically pooled. Signatures were identified as those micro-RNAs or genes with differential expression in samples from stretched cells, and optimized using a greedy algorithm. Transcriptomic scores were calculated as the difference of geometric means in expression of up- and down-regulated features, and compared among different magnitudes of stretch. The accuracy of these scores was validated in animal models of lung injury, ex vivo mechanically ventilated human lungs and in bronchoalveolar lavage fluid (BALF) from patients under different ventilatory conditions. Measurements and main results: Eight micro-RNAs were differentially expressed in stretched cell cultures (n=24). Amongst the genes regulated by these micro-RNAs, a 180-gene signature was identified in ex vivo models (n=106) and refined using data from animal models (n=143) to obtain a 4-gene signature. The corresponding scores were significantly higher in samples submitted to stretch or injurious mechanical ventilation. The microRNA signatures were validated in human tissue and BALF, with areas under the ROC curve between 0.89 and 1 respectively to identify lung overdistention. Conclusions: Lung cell stretch induces the expression of specific micro-RNA and genes. These signatures may be used to obtain an index of lung overstretching that can be measured at the bedside.
2025-05-01 | GSE173803 | GEO
Project description:This project focuses both on the separate and combined effects of large tidal volume ventilation and hyperoxia on gene expression in the lungs of anesthetized rats. Rats were either mechanically or spontaneously ventilated at either 21 or 100% oxygen and expression levels were evaluated on RG_U34 GeneChips.
2007-10-10 | E-GEOD-489 | biostudies-arrayexpress