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SRP101460
Mus musculus
127 Downloadable Samples
Illumina HiSeq 2500
Description
The inability of the adult mammalian heart to regenerate following injury represents a major barrier in cardiovascular medicine. In contrast, the neonatal mammalian heart retains a transient capacity for regeneration, which is lost shortly after birth. Defining the molecular mechanisms that govern regenerative capacity in the neonatal period remains a central goal in cardiac biology. Here, we construct a transcriptional atlas of multiple cardiac cell populations, which enables comparative analyses of the regenerative (neonatal) versus non-regenerative (adult) state for the first time. This work provides a comprehensive transcriptional resource of multiple cardiac cell populations during cardiac development, repair and regeneration. Our findings define a transcriptional program underpinning the neonatal regenerative state and identifies an epigenetic barrier to re-induction of the regenerative program in adult cardiomyocytes. Overall design: Cardiomyocytes, fibroblasts, leukocytes and endothelial cells from infarcted and non-infarcted neonatal (P1) and adult (P56) hearts were isolated by enzymatic dissociation and FACS. RNA sequencing (RNA-seq) was performed on these cell populations to generate a transcriptomic atlas of the major cardiac cell populations during cardiac development, repair and regeneration. In addition, we surveyed the epigenetic landscape of cardiomyocytes during post-natal maturation by performing deep sequencing of accessible chromatin regions using the Assay for Transposase-Accessible Chromatin (ATAC-seq) from purified cardiomyocyte nuclei (P1, P14 and P56).
Publication Title
Multicellular Transcriptional Analysis of Mammalian Heart Regeneration.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Arabidopsis thaliana
- 29 Downloadable Samples
Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Light initiates the seedling deetiolation transition by promoting major changes in gene expression mainly regulated by phytochrome (phy) photoreceptors. During the initial dark-to-light transition, phy photoactivation induces rapid changes in gene expression that eventually lead to the photomorphogenic development. Recent reports indicate that this process is achieved by phy-induced degradation of Phy-Interacting bHLH transcription Factors (PIFs) PIF1, PIF3 PIF4 and PIF5, which are partly redundant constitutive repressors of photomorphogenesis that accumulate in darkness. In order to test whether light/phy-regulated gene expression occurs through these PIFs, we have performed whole-genome expression analysis in the pif1pif3pif4pif5 quadruple mutant (pifq).
Publication Title
Definition of early transcriptional circuitry involved in light-induced reversal of PIF-imposed repression of photomorphogenesis in young Arabidopsis seedlings.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA-seq experiment of WT and pifq mutant seedlings grown for 3 days in darkness in presence or absence of Lincomycin. Overall design: Transcriptome profiles of the wild-type (WT) and pif1pif3pif4pif5 (pifq) quadruple mutant seedlings grown for 3 days in the dark in presence or absence of Lincomycin. Biological triplicate samples were analyzed from libraries constructed using a 3''-capture, 5'' to 3'' directional method.
Publication Title
Phytochrome and retrograde signalling pathways converge to antagonistically regulate a light-induced transcriptional network.
Sample Metadata Fields
Subject
View Samples- Arabidopsis thaliana
- 29 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Plants respond to changes in the red:far red ratio (R:FR) of incident light. A reduction in this ratio (increase in FR) results in the Shade Avoidance Response (SAR) with associated changes in gene expression. The Phyotchrome-Interacting Factors (PIFs) are bHLH transcription factors known to be involved in the SAR. An analysis of changes in gene expression in WT and quadruple pif1pif3pif4pif5 (pifq; Leivar et al., 2008 (PMID 19920208)) mutant seedlings in response to an increase in FR should identify primary targets of PIF signaling.
Publication Title
Dynamic antagonism between phytochromes and PIF family basic helix-loop-helix factors induces selective reciprocal responses to light and shade in a rapidly responsive transcriptional network in Arabidopsis.
Sample Metadata Fields
Specimen part
View Samples- Arabidopsis thaliana
- 21 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
PIF3 plays a role as repressor of photomorphogenesis in darkness. To identify PIF3-regulated genes that might be implementing this action, we have performed whole-genome expression analysis in the pif3 mutant.
Publication Title
Functional profiling identifies genes involved in organ-specific branches of the PIF3 regulatory network in Arabidopsis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The pathology of chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis and the majority of lung cancers involve the small airway epithelium (SAE), the single continuous layer of cells lining the airways ?6th generations. The basal cells (BC) are the stem/progenitor cells of the SAE, responsible for the differentiation into intermediate cells and ciliated, club and mucous differentiated cells. To facilitate the study of the biology of the human SAE in health and disease, we immortalized and characterized a normal human SAE basal cell line.
Publication Title
Characterization of an immortalized human small airway basal stem/progenitor cell line with airway region-specific differentiation capacity.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples- Homo sapiens
- 202 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Transcriptional signatures as a disease-specific and predictive inflammatory biomarker for type 1 diabetes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 114 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D and HC cohorts. In addition, we examined T1D progression by looking at longitudinal, pre-onset and longstanding T1D samples.
Publication Title
Transcriptional signatures as a disease-specific and predictive inflammatory biomarker for type 1 diabetes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 49 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and non-diabetic cystic fibrosis patients possessing Pseudomonas aeruginosa pulmonary tract infection.
Publication Title
Transcriptional signatures as a disease-specific and predictive inflammatory biomarker for type 1 diabetes.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 27 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we compared the signature found between unrelated healthy controls and patients with bacterial pneumonia.
Publication Title
Transcriptional signatures as a disease-specific and predictive inflammatory biomarker for type 1 diabetes.
Sample Metadata Fields
No sample metadata fields
View Samples