Proteomics Project-SCAP-20251010
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Jiangjiang Qin
PROVIDER: PXD069338 | iProX | Fri Oct 10 00:00:00 GMT+01:00 2025
REPOSITORIES: iProX
Similar Datasets
Project description:This project focuses on the assessment of the biological effects of FBXO44
2025-03-17 | PXD061952 |
Project description:Myelodysplastic syndromes (MDS) are a heterogeneous group of hematopoietic disorders characterized by ineffective blood cell production and a high risk of progression to acute myeloid leukemia (AML). CD34+ hematopoietic stem and progenitor cells (HSPCs) play a critical role in the pathophysiology of MDS, yet the proteomic changes underlying the disease remain poorly characterized. This project focuses on performing comprehensive quantitative proteomic profiling of CD34+ cells isolated from the bone marrow of MDS patients and healthy controls. By leveraging advanced mass spectrometry and quantitative proteomics techniques, we aim to identify unbiased differences in protein expression and pathways between diseased and healthy cells. These findings will contribute to a deeper understanding of the molecular mechanisms driving MDS and may reveal potential biomarkers or therapeutic targets.
2025-11-14 | PXD059857 | Pride
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5754 | GEO
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5757 | GEO
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5756 | GEO
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5755 | GEO
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5753 | GEO
Project description:This experiment was donated by The ELP Project website at elp.ucdavis.edu that was supported in part by the Arabidopsis 2010 project, NSF Division of Molecular and Cellular Biosciences, award 0115109. The study of natural genetic variation for plant disease resistance responses is a complementary approach to utilizing mutants to elucidate genetic pathways. While some key genes involved in pathways controlling disease resistance, and signaling intermediates such as salicylic acid and jasmonic acid, have been identified through mutational analyses, the use of genetic variation in natural populations permits the identification of change-of-function alleles, which likely act in a quantitative manner. Whole genome microarrays, such as Affymetrix GeneChips, allow for molecular characterization of the disease response at a genomics level and characterization of differences in gene expression due to natural variation. Differences in the level of gene expression, or expression level polymorphisms (ELPs), can be mapped in a segregating population to identify regulatory quantitative trait loci (expression QTLs) affecting host resistance responses. In order to identify an appropriate RIL population to map QTL controlling disease resistance responses, we performed a parental survey of 7 different Arabidopsis accessions. We treated vegetatively grown plants with either salicylic acid or a control solution, and harvested the plants at 3 different time points after chemical treatment. We present Affymetrix GeneChip microarray expression data for 3 biological replications of this parental survey. Keywords: strain_or_line; compound_treatment; time_series
2007-01-08 | GSE5758 | GEO
Project description:This series represents the Cancer Genome Anatomy Project SAGE library collection. Libraries contained herein were either produced through CGAP funding, or donated to CGAP. The Cancer Genome Anatomy Project (CGAP: http://cgap.nci.nih.gov) is an interdisciplinary program established and administered by the National Cancer Institute (NCI: http://www.nci.nih.gov) to generate the information and technological tools needed to decipher the molecular anatomy of the cancer cell. SAGE libraries are named according to the following convention: * SAGE_Organ_histology_code_unique identifier, e.g., SAGE_Colon_adenocarcinoma_CL_Caco2 * Codes: B = bulk; CL = cell line; CS = short-term cell culture; MD = micro-dissected; AP = antibody purified.
2004-10-28 | GSE1902 | GEO
Project description:This series represents the Cancer Genome Anatomy Project SAGE library collection. Libraries contained herein were either produced through CGAP funding, or donated to CGAP. The Cancer Genome Anatomy Project (CGAP: http://cgap.nci.nih.gov) is an interdisciplinary program established and administered by the National Cancer Institute (NCI: http://www.nci.nih.gov) to generate the information and technological tools needed to decipher the molecular anatomy of the cancer cell. SAGE libraries are named according to the following convention: * SAGE_Organ_histology_code_unique identifier, e.g., SAGE_Colon_adenocarcinoma_CL_Caco2 * Codes: B = bulk; CL = cell line; CS = short-term cell culture; MD = micro-dissected; AP = antibody purified.
2009-03-20 | GSE15311 | GEO