NHLBI Big Data Analysis Heart Failure Challenge Data Collection
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA610994 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:NHLBI Big Data Analysis Heart Failure Challenge Data Collection
| PRJNA610993 | ENA
Project description:We study differences in gene expression between Populus P35S::BL (BL-oe) lines and control, affecting plant growth and differentiation, and dormancy. We used microarrays to detail the global program of gene expression underlying morphological and developmental changes droved by overexpression of BL gene. We identified an activation tagging mutant with increased leaf size and correspondingly name it BIG LEAF (BL). We positioned the tag, localized a putative candidate gene and verified transcription activation. The activated gene encodes a WD40 putative transcription regulator similar to the Arabidopsis thaliana STERILE APETALA (SAP). We recapitulated the phenotype by overexpression of the gene into the same genotype under strong constitutive promoter (P35S::BL, BL-oe). Transgenic up-regulation of the BL gene caused enhanced leaf size, early bud-break, and suppression of secondary growth. BL transcript abundance in wild type plants is in apical tissues, mostly in shoot meristem, leaf primordia and axillary meristem. Our data indicates that BL plays an important role in the process of tree growth.
2017-05-11 | GSE68859 | GEO
Project description:We study differences in gene expression between Populus P35S::BL (BL-oe) lines and control, affecting plant growth and differentiation, and dormancy. We used microarrays to detail the global program of gene expression underlying morphological and developmental changes droved by overexpression of BL gene. We identified an activation tagging mutant with increased leaf size and correspondingly name it BIG LEAF (BL). We positioned the tag, localized a putative candidate gene and verified transcription activation. The activated gene encodes a WD40 putative transcription regulator similar to the Arabidopsis thaliana STERILE APETALA (SAP). We recapitulated the phenotype by overexpression of the gene into the same genotype under strong constitutive promoter (P35S::BL, BL-oe). Transgenic up-regulation of the BL gene caused enhanced leaf size, early bud-break, and suppression of secondary growth. BL transcript abundance in wild type plants is in apical tissues, mostly in shoot meristem, leaf primordia and axillary meristem. Our data indicates that BL plays an important role in the process of tree growth. Poplar apex, secondary stem (30th internode), and leaves (at 30 node) was selected for RNA extraction and hybridization on Affymetrix microarrays. We sought to obtain expression of affected genes in P35S::BL lines and control wild type (WT-717), in order to increase the resolution of expression profiles inducing the developmental changes in P35S::BL. To do that, we selected apex, stem and leaf tissue from greenhouse healthy plants.
2017-05-11 | E-GEOD-68859 | biostudies-arrayexpress
Project description:Systems biology provides a powerful approach to unravel complex biological processes yet it has not been applied systematically to samples from newborns, a group highly vulnerable to a wide range of diseases. Published methods rely on blood volumes that are not feasible to obtain from newborns. We optimized methods to extract transcriptomic, proteomic, metabolomic, cytokine/chemokine, and single cell immune phenotyping data from <1ml of blood, a volume readily obtained from newborns. Furthermore, indexing to baseline and applying innovative integrative computational methods that address the challenge of few data points with many features enabled identification of robust findings within a readily achievable sample size. This approach uncovered dramatic changes along a stable developmental trajectory over the first week of life. The ability to extract information from ‘big data’ and draw key insights from such small sample volumes will enable and accelerate characterization of the molecular ontogeny driving this crucial developmental period.
2019-03-20 | GSE111404 | GEO
Project description:Interventions: Gold Standard:Pathological diagnosis;Index test:Intelligent prevention and treatment system for colorectal cancer based on big data analysis and deep learning model.
Primary outcome(s): Intestinal flora;SEN, SPE, ACC, AUC of ROC
Study Design: Factorial
| 2693998 | ecrin-mdr-crc
Project description:Four samples from the low and high hybrid at big flare period were used for RNA sequencing.
2018-06-28 | GSE116366 | GEO
Project description:Tomato big bud phytoplasma overview
| PRJNA188038 | ENA
Project description:BackgroundSickle cell disease (SCD) is an autosomal recessive blood disorder affecting approximately 100,000 Americans and 3.1 million people globally. The scarcity of relevant knowledge and experience with rare diseases creates a unique need for cooperation and infrastructure to overcome challenges in translating basic research advances into clinical advances. Despite registry initiatives in SCD, the unavailability of descriptions of the selection process and copies of final data collection tools, coupled with incomplete representation of the SCD population hampers further research progress. This manuscript describes the SCDIC (Sickle Cell Disease Implementation Consortium) Registry development and makes the SCDIC Registry baseline and first follow-up data collection forms available for other SCD research efforts.ResultsStudy data on 2400 enrolled patients across eight sites was stored and managed using Research Electronic Data Capture (REDCap). Standardized data collection instruments, recruitment and enrollment were refined through consensus of consortium sites. Data points included measures taken from a variety of validated sources (PHENX, PROMIS and others). Surveys were directly administered by research staff and longitudinal follow-up was coordinated through the DCC. Appended registry forms track medical records, event-related patient invalidation, pregnancy, lab reporting, cardiopulmonary and renal functions.ConclusionsThe SCDIC Registry strives to provide an accurate, updated characterization of the adult and adolescent SCD population as well as standardized, validated data collecting tools to guide evidence-based research and practice.
| S-EPMC7341606 | biostudies-literature
Project description:Programmed cell death (PCD) is essential for several aspects of plant life. We previously identified the mips1 mutant of Arabidopsis thaliana, which is deficient for the enzyme catalyzing myo-inositol synthesis, that displays light-dependent formation of lesions on leaves due to Salicylic Acid (SA) over-accumulation. Rationale of this work was to identify novel regulators of plant PCD using a genetic approach. A screen for secondary mutations that abolish the mips1 PCD phenotype identified a mutation in the BIG gene, encoding a factor of unknown molecular function that was previously shown to play pleiotropic roles in plant development and defence. Physiological analyses showed that BIG is required for lesion formation in mips1 via SA-dependant signalling. big mutations partly rescued transcriptomic and metabolomics perturbations as stress-related phytohormones homeostasis. In addition, since loss of function of the ceramide synthase LOH2 was not able to abolish cell death induction in mips1, we show that PCD induction is not fully dependent of sphingolipid accumulation as previously suggested. Our results provide further insights into the role of the BIG protein in the control of MIPS1-dependent cell death and also into the impact of sphingolipid homeostasis in this pathway.
2020-07-13 | GSE143244 | GEO