Ontology highlight
ABSTRACT:
PROVIDER: PRJEB31478 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:surface coal mine land reclaimed by flue gas desulfurization product Raw sequence reads
| PRJNA297129 | ENA
Project description:Limiting fluid in lung is critical for efficient gas exchange. Here we discovered a mechanism of neuropeptidergic control of lung fluid balance by pulmonary neuroendocrine cells (PNECs), potent sensors of chemical and mechanical cues. We studied the first animal model of neuroendocrine cell hyperplasia of infancy (NEHI), which faithfully recapitulated patient phenotypes including PNEC hyperplasia and impaired gas exchange. Double mutants showed that increased PNECs and excess PNEC products such as CGRP are responsible for poor gas exchange, acting through downregulating endothelial junctions, increasing vessel leakage and fluid accumulation. Endothelium-specific inactivation of CGRP receptor, or treatment with CGRP receptor antagonist reduced fluid and improved gas exchange. In lungs with acute respiratory distress syndrome (ARDS), including those caused by COVID-19, there was a striking increase of CGRP-expressing PNECs. These findings raise the possibility that increased neuropeptides would contribute to excess extravascular lung fluid and antagonizing their function may improve gas exchange.
2022-02-18 | GSE171907 | GEO
Project description:SUSTAINABILITY IN THE BIOLOGICAL TREATMENT OF MINE DRAINAGE - RAW GLYCEROL AND TRUB AS SOURCES OF CARBON
| PRJNA623927 | ENA
Project description:Thinning is indispensable practice in peach cultivation aiming to reduce fruit number per plant, promoting sink-source balance and reducing competition among fruit, which results in bigger fruit and the improvement of other fruit-quality parameters. Inhibition of floral induction by GAs has been largely demonstrated and commercial products based on GAs have been used to this aim. We tested a product GA4/7 based in different moments after full bloom in peach to reduce the number of flowers in the following season. Return to bloom and transcriptome analysis were performed to identify the best moment for the treatment, increasing the product efficacy and understanding the product action at genetic level.
2024-06-25 | GSE247681 | GEO
Project description:Streptococcus pyogenes (group A streptococci; GAS) is the main causative pathogen of monomicrobial necrotizing soft tissue infections (NSTIs). To resist immuno-clearance, GAS adapt their genetic information and/or phenotype to the surrounding environment. Hyper-virulent streptococcal pyrogenic exotoxin B (SpeB) negative variants caused by covRS mutations are enriched during infection. A key driving force for this process is the bacterial Sda1 DNase. Here, we identify another strategy resulting in SpeB-negative variants, namely reversible abrogation of SpeB secretion triggered by neutrophil effector molecules. Analysis of NSTI patient tissue biopsies revealed that tissue inflammation, neutrophil influx, and degranulation positively correlate with increasing frequency of SpeB-negative GAS clones. Using single colony proteomics, we show that GAS isolated directly from tissue express but do not secrete SpeB. Once the tissue pressure is lifted, GAS regain SpeB secreting function. Neutrophils were identified as the main immune cells responsible for the observed phenotype. Subsequent analyses identified hydrogen peroxide and hypochlorous acid as reactive agents driving this phenotypic GAS adaptation to the tissue environment. SpeB-negative GAS show improved survival within neutrophils and induce increased degranulation. Our findings provide new information about GAS fitness and heterogeneity in the soft tissue milieu and provide new potential targets for therapeutic intervention in NSTIs.
2023-10-24 | PXD040160 | Pride
Project description:Relatively little is understood about the dynamics of global host–pathogen transcriptome changes that occur during bacterial infection of mucosal surfaces. To test the hypothesis that group A Streptococcus (GAS) infection of the oropharynx provokes a host transcriptome response, we performed genome-wide transcriptome analysis using a nonhuman primate model of experimental pharyngitis. We also identified host and pathogen biological processes and individual host and pathogen gene pairs with correlated patterns of expression, suggesting interaction. For this study, 509 host genes and seven biological pathways were differentially expressed throughout the entire 32-day infection cycle. GAS infection produced an initial widespread significant decrease in expression of many host genes, including those involved in cytokine production, vesicle formation, metabolism, and signal transduction. This repression lasted until day 4, at which time a large increase in expression of host genes was observed, including those involved in protein translation, antigen presentation, and GTP-mediated signaling. The interactome analysis identified 73 host and pathogen gene pairs with correlated expression levels. We discovered significant correlations between transcripts of GAS genes involved in hyaluronic capsule production and host endocytic vesicle formation, GAS GTPases and host fibrinolytic genes, and GAS response to interaction with neutrophils. We also identified a strong signal, suggesting interaction between host γδ T cells and genes in the GAS mevalonic acid synthesis pathway responsible for production of isopentenyl-pyrophosphate, a short-chain phospholipid that stimulates these T cells. Taken together, our Q:2 results are unique in providing a comprehensive understanding of the host–pathogen interactome during mucosal infection by a bacterial pathogen.
2010-03-18 | GSE20262 | GEO
Project description:Begitt2014 - STAT1 cooperative DNA binding - double GAS polymer model
The importance of STAT1-cooperative DNA binding in type 1 and type 2 interferon signalling has been studies using experimental and modelling approaches. The authors have developed two ODE models to describe STAT1 binding to short promoter regions of DNA, namely "single GAS polymer model" and "double GAS polymer model" considering binding to single or double GAS sites, respectively. The length of DNA in the single GAS model was three sites and four sites in double GAS model. This model correspond to the "double GAS polymer model".
This model is described in the article:
STAT1-cooperative DNA binding distinguishes type 1 from type 2 interferon signaling.
Begitt A, Droescher M, Meyer T, Schmid CD, Baker M, Antunes F, Owen MR, Naumann R, Decker T, Vinkemeier U
Nat Immunol. 2014 Feb;15(2):168-76.
Abstract:
STAT1 is an indispensable component of a heterotrimer (ISGF3) and a STAT1 homodimer (GAF) that function as transcription regulators in type 1 and type 2 interferon signaling, respectively. To investigate the importance of STAT1-cooperative DNA binding, we generated gene-targeted mice expressing cooperativity-deficient STAT1 with alanine substituted for Phe77. Neither ISGF3 nor GAF bound DNA cooperatively in the STAT1F77A mouse strain, but type 1 and type 2 interferon responses were affected differently. Type 2 interferon-mediated transcription and antibacterial immunity essentially disappeared owing to defective promoter recruitment of GAF. In contrast, STAT1 recruitment to ISGF3 binding sites and type 1 interferon-dependent responses, including antiviral protection, remained intact. We conclude that STAT1 cooperativity is essential for its biological activity and underlies the cellular responses to type 2, but not type 1 interferon.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000501
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2024-09-02 | BIOMD0000000501 | BioModels
Project description:Begitt2014 - STAT1 cooperative DNA binding - single GAS polymer model
The importance of STAT1-cooperative DNA binding in type 1 and type 2 interferon signalling has been studies using experimental and modelling approaches. The authors have developed two ODE models to describe STAT1 binding to short promoter regions of DNA, namely "single GAS polymer model" and "double GAS polymer model" considering binding to single or double GAS sites, respectively. The length of DNA in the single GAS model was three sites and four sites in double GAS model. This model correspond to the "single GAS polymer model".
This model is described in the article:
STAT1-cooperative DNA binding distinguishes type 1 from type 2 interferon signaling.
Begitt A, Droescher M, Meyer T, Schmid CD, Baker M, Antunes F, Owen MR, Naumann R, Decker T, Vinkemeier U
Nat Immunol. 2014 Feb;15(2):168-76.
Abstract:
STAT1 is an indispensable component of a heterotrimer (ISGF3) and a STAT1 homodimer (GAF) that function as transcription regulators in type 1 and type 2 interferon signaling, respectively. To investigate the importance of STAT1-cooperative DNA binding, we generated gene-targeted mice expressing cooperativity-deficient STAT1 with alanine substituted for Phe77. Neither ISGF3 nor GAF bound DNA cooperatively in the STAT1F77A mouse strain, but type 1 and type 2 interferon responses were affected differently. Type 2 interferon-mediated transcription and antibacterial immunity essentially disappeared owing to defective promoter recruitment of GAF. In contrast, STAT1 recruitment to ISGF3 binding sites and type 1 interferon-dependent responses, including antiviral protection, remained intact. We conclude that STAT1 cooperativity is essential for its biological activity and underlies the cellular responses to type 2, but not type 1 interferon.
This model is hosted on BioModels Database
and identified
by: BIOMD0000000500
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource
for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to the public
domain worldwide. Please refer to CC0 Public Domain
Dedication
for more information.
2024-09-02 | BIOMD0000000500 | BioModels