Similar Datasets
Project description:Pan Liu , Benjamin R. Thomson , Natalia Khalatyan , Liang Feng , Xiaorong Liu , Jeffrey N Savas , Susan E. Quaggin , Jing Jin
2018-07-10 | MSV000082590 | MassIVE
Project description:Digital gene expression (DGE) profiles based on Illumina RNA-seq technology were applied to investigate the different gene expression patterns in peach fruit mesocarp of four commercial cultivars (‘Hu Jing Mi Lu’-‘HJ’, ‘Yu Lu’-‘YL’, ‘Zhong Hua Shou Tao’-‘ZH’ and ‘Jin Xiu Huang Tao’-‘JX’) and at three ripening stages of ‘HJ’. The aim was to identify the key candidate genes related to the formation of volatile compounds and fruit softening, and to get an insight into molecular mechanisms associated with these two traits from a full transcriptome view. The large set of differentially expressed genes (DEGs), and the annotation of each gene provides valuable information for research on other fruit traits
2016-12-01 | GSE64565 | GEO
Project description:Input control for ChIP-seq on transgenic flies expressing jing-eGFP fusion proteins. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf
2024-02-27 | GSE257913 | GEO
Project description:ChIP-seq on transgenic flies expressing jing-eGFP fusion proteins. The IP was performed using an anti-GFP antibody. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf
2024-02-27 | GSE258331 | GEO
Project description:Exposure to cold conditions is a major abiotic stress affecting crop growth and productivity. Elucidation of genetic mechanisms underlying response to low temperature is needed. To assess the relationship between the genes and the cold tolerance of wheat, transcriptomics analyses were performed to study changes in gene profiles of cultivar Jing 411 after cold acclimation and freezing treatment. The wheat cultivar Jing 411 was subjected to transcriptome sequencing. The RNA was sequenced on a HiSeq 2500 platform, and the generated data were analyzed using TopHat v2.0.
2019-08-07 | GSE135474 | GEO
Project description:Prunus persica cultivar:Hu Jing Mi Lu1, Hu Jing Mi Lu2, Hu Jing Mi Lu3, Jing Xiu Huang Tao, Yu Lu, Zhong Hua Shou Tao Transcriptome or Gene expression
| PRJNA269781 | ENA
Project description:Aquatic organisms are exposed to many toxic chemicals and interpreting the cause and effect relationships between occurrence and impairment is difficult. Toxicity Identification Evaluation (TIE) provides a systematic approach for identifying responsible toxicants. TIE relies on relatively uninformative and potentially insensitive toxicological endpoints. Gene expression analysis may provide needed sensitivity and specificity aiding in the identification of primary toxicants. The current work aims to determine the added benefit of integrating gene expression endpoints into the TIE process. A cDNA library and a custom microarray were constructed for the marine amphipod Ampelisca abdita. Phase 1 TIEs were conducted using 10% and 40% dilutions of acutely toxic sediment. Gene expression was monitored in survivors and controls. An expression-based classifier was developed and evaluated against control organisms, organisms exposed to low or medium toxicity diluted sediment, and chemically selective manipulations of highly toxic sediment. The expression-based classifier correctly identified organisms exposed to toxic sediment even when little mortality was observed, suggesting enhanced sensitivity of the TIE process. The ability of the expression-based endpoint to correctly identify toxic sediment was lost concomitantly with acute toxicity when organic contaminants were removed. Taken together, this suggests that gene expression enhances the performance of the TIE process.
2012-12-21 | GSE41463 | GEO
Project description:Aquatic organisms are exposed to many toxic chemicals and interpreting the cause and effect relationships between occurrence and impairment is difficult. Toxicity Identification Evaluation (TIE) provides a systematic approach for identifying responsible toxicants. TIE relies on relatively uninformative and potentially insensitive toxicological endpoints. Gene expression analysis may provide needed sensitivity and specificity aiding in the identification of primary toxicants. The current work aims to determine the added benefit of integrating gene expression endpoints into the TIE process. A cDNA library and a custom microarray were constructed for the marine amphipod Ampelisca abdita. Phase 1 TIEs were conducted using 10% and 40% dilutions of acutely toxic sediment. Gene expression was monitored in survivors and controls. An expression-based classifier was developed and evaluated against control organisms, organisms exposed to low or medium toxicity diluted sediment, and chemically selective manipulations of highly toxic sediment. The expression-based classifier correctly identified organisms exposed to toxic sediment even when little mortality was observed, suggesting enhanced sensitivity of the TIE process. The ability of the expression-based endpoint to correctly identify toxic sediment was lost concomitantly with acute toxicity when organic contaminants were removed. Taken together, this suggests that gene expression enhances the performance of the TIE process. Wild-collected Ampelisca abdita were exposed to either control (from sites in Long Island Sound, labeled LIS) sediment, toxic (from site on Elizabeth River, labeled ER) sediment, a series of mixtures of LIS and ER sediment, sediments manipulated to alter toxin bioavailability, or toxicant amended sediments. Lethality was scored, and survivors were subjected to mRNA expression analysis via oligo microarray.
2012-12-21 | E-GEOD-41463 | biostudies-arrayexpress