DCG-LU
Ontology highlight
ABSTRACT:
PROVIDER: EGAO00000000738 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Natural killer (NKT) T cells exhibit tissue distribution, surface phenotype, and functional responses that are strikingly different from those of conventional T cells. The transcription factor PLZF is responsible for most of these properties, as its ectopic expression in conventional T cells is sufficient to confer to them an NKT-like phenotype. The molecular program downstream of PLZF, however, is largely unexplored. Here we report that PLZF regulates the expression of a surprisingly small set of genes, many with known immune functions. This includes several established components of the NKT cell developmental program.
2012-11-09 | GSE42168 | GEO
Project description:Natural killer (NKT) T cells exhibit tissue distribution, surface phenotype, and functional responses that are strikingly different from those of conventional T cells. The transcription factor PLZF is responsible for most of these properties, as its ectopic expression in conventional T cells is sufficient to confer to them an NKT-like phenotype. The molecular program downstream of PLZF, however, is largely unexplored. Here we report that PLZF regulates the expression of a surprisingly small set of genes, many with known immune functions. This includes several established components of the NKT cell developmental program. Transcriptional program downstream of PLZF in gammadelta NKT cells was analyzed by comparing wt, heterozygous and PLZF-deficient gammadelta NKT cells
2012-11-09 | E-GEOD-42168 | biostudies-arrayexpress
Project description:BackgroundIndividualized dosimetry is recommended for [177Lu]Lu-PSMA radioligand therapy (RLT) which is resource-intensive and protocols are often not optimized. Therefore, a simulation study was performed focusing on the determination of efficient optimal sampling schedules (OSS) for renal and tumour dosimetry by investigating different numbers of time points (TPs).MethodsSampling schedules with 1-4 TPs were investigated. Time-activity curves of the kidneys and two tumour lesions were generated based on a physiologically based pharmacokinetic (PBPK) model and biokinetic data of 13 patients who have undergone [177Lu]Lu-PSMA I&T therapy. Systematic and stochastic noise of different ratios was considered when modelling time-activity data sets. Time-integrated activity coefficients (TIACs) were estimated by simulating the hybrid planar/SPECT method for schedules comprising at least two TPs. TIACs based on one single SPECT/CT measurement were estimated using an approximation for reducing the number of fitted parameters. For each sampling schedule, the root-mean-squared error (RMSE) of the deviations of the simulated TIACs from the ground truths for 1000 replications was used as a measure for accuracy and precision.ResultsAll determined OSS included a late measurement at 192 h p.i., which was necessary for accurate and precise tumour TIACs. OSS with three TPs were identified to be 3-4, 96-100 and 192 h with an additional SPECT/CT measurement at the penultimate TP. Kidney and tumour RMSE of 6.4 to 7.7% and 6.3 to 7.8% were obtained, respectively. Shortening the total time for dosimetry to e.g. 96 h resulted in kidney and tumour RMSE of 6.8 to 8.3% and 9.1 to 11%, respectively. OSS with four TPs showed similar results as with three TPs. Planar images at 4 and 68 h and a SPECT/CT shortly after the 68 h measurement led to kidney and tumour RMSE of 8.4 to 12% and 12 to 16%, respectively. One single SPECT/CT measurement at 52 h yielded good approximations for the kidney TIACs (RMSE of 7.0%), but led to biased tumour TIACs.ConclusionOSS allow improvements in accuracy and precision of renal and tumour dosimetry for [177Lu]Lu-PSMA therapy with potentially less effort. A late TP is important regarding accurate tumour TIACs.
| S-EPMC7300169 | biostudies-literature
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 29 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001165. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
2015-09-30 | E-MTAB-3819 | biostudies-arrayexpress
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 4 samples of primary cells from tonsil with cell surface markes CD20med/CD38high in young individuals (3 to 10 years old) are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. The relevant accessions of EGA data sets is EGAD00001001523. Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. The mapping of samples to these EGA accessions can be found in the 'Sample Data Relationship Format' file of this ArrayExpress record. Information on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu
2016-05-12 | E-MTAB-4754 | biostudies-arrayexpress
Project description:This experiment contains a subset of data from the BLUEPRINT Epigenome project ( http://www.blueprint-epigenome.eu ), which aims at producing a reference haemopoetic epigenomes for the research community. 74 samples of primary cells or cultured primary cells of different haemopoeitc lineages from cord blood, venous blood, bone marrow and thymus are included in this experiment. This ArrayExpress record contains only meta-data. Raw data files have been archived at the European Genome-Phenome Archive (EGA, www.ebi.ac.uk/ega) by the consortium, with restricted access to protect sample donors' identity. There are 32 EGA data set accessions, which can be found under the Comment[EGA_DATA_SET] column in the 'Sample Data Relationship Format' (SDRF) file of this ArrayExpress record (http://www.ebi.ac.uk/arrayexpress/files/E-MTAB-3827/E-MTAB-3827.sdrf.txt). Details on how to apply for data access via the BLUEPRINT data access committee are on the EGA data set pages. Likewise, mapping of samples to these EGA accessions can be found in the SDRF file. Please note that the raw data files for 11 sequencing runs have yet been deposited at EGA, so they are marked with \\ot available\\ under the Comment[SUBMITTED_FILE_NAME] field in the SDRF file, and were included for the sake of completeness. Further iInformation on individual samples and sequencing libraries can also be found on the BLUEPRINT data coordination centre (DCC) website: http://dcc.blueprint-epigenome.eu\
2015-09-30 | E-MTAB-3827 | biostudies-arrayexpress
Project description:Reprogramming of histone modification regulates gene expression and mammal preimplantation development. Trimethylation of lysine 4 on histone 3 (H3K4me3) has unique landscape in mouse oocytes and early embryos. However, the dynamics and function of H3K4me3 in livestock embryos remain unclear. To address how it is reprogrammed in domestic animals, we profiled changes of H3K4me3 during bovine early embryo development. Notably, the overall signal of H3K4me3 decreased during embryonic genome activation (EGA). By utilizing ultra-low-input native ChIP-seq (ULI-NChIP-seq) technology, we observed widespread broad H3K4me3 domains in oocytes and embryos. The signal of broad H3K4me3 began to decrease after fertilization and was lowest after EGA. Along with the removal of broad H3K4me3, deposition of H3K4me3 at promoter regions enhanced gradually. Besides, the transcriptional activity and signal of promoter H3K4me3 showed positive correlation after the erasure of broad H3K4me3 at 16-cell stage. Moreover, knocking down of demethylases KDM5A, KDM5B and KDM5C caused EGA delay and blastocyst formation failure. RNA-seq analysis revealed 47.8% down-regulated genes in knockdown embryos at 8/16-cell stage were EGA genes, and 63.1% of up-regulated genes were maternal transcripts. Particularly, the positive correlation between transcriptional activity and promoter H3K4me3 during EGA was restrained when knocking down of KDM5A, KDM5B and KDM5C. Overall, our work initiatively mapped the genomic reprogramming of H3K4me3 during bovine preimplantation development, and KDM5A/B/C played roles in modulating oocyte-to-embryonic transition (OET) through timely erasure of broad H3K4me3 domains far away from promoters.
2022-03-31 | GSE189100 | GEO
Project description:Reprogramming of histone modification regulates gene expression and mammal preimplantation development. Trimethylation of lysine 4 on histone 3 (H3K4me3) has unique landscape in mouse oocytes and early embryos. However, the dynamics and function of H3K4me3 in livestock embryos remain unclear. To address how it is reprogrammed in domestic animals, we profiled changes of H3K4me3 during bovine early embryo development. Notably, the overall signal of H3K4me3 decreased during embryonic genome activation (EGA). By utilizing ultra-low-input native ChIP-seq (ULI-NChIP-seq) technology, we observed widespread broad H3K4me3 domains in oocytes and embryos. The signal of broad H3K4me3 began to decrease after fertilization and was lowest after EGA. Along with the removal of broad H3K4me3, deposition of H3K4me3 at promoter regions enhanced gradually. Besides, the transcriptional activity and signal of promoter H3K4me3 showed positive correlation after the erasure of broad H3K4me3 at 16-cell stage. Moreover, knocking down of demethylases KDM5A, KDM5B and KDM5C caused EGA delay and blastocyst formation failure. RNA-seq analysis revealed 47.8% down-regulated genes in knockdown embryos at 8/16-cell stage were EGA genes, and 63.1% of up-regulated genes were maternal transcripts. Particularly, the positive correlation between transcriptional activity and promoter H3K4me3 during EGA was restrained when knocking down of KDM5A, KDM5B and KDM5C. Overall, our work initiatively mapped the genomic reprogramming of H3K4me3 during bovine preimplantation development, and KDM5A/B/C played roles in modulating oocyte-to-embryonic transition (OET) through timely erasure of broad H3K4me3 domains far away from promoters.
2022-03-31 | GSE189101 | GEO
Project description:Following fertilization, the new embryo reprograms parental genomes to begin transcription (embryonic genome activation, EGA). EGA is indispensable for development, but its dynamics, profile or when it initiates in vertebrates are unknown. We here characterize the onset of transcription in mouse one-cell embryos. Precise embryo staging eliminated noise to reveal a cascading program of de novo transcription initiating within six hours of fertilization. This immediate EGA (iEGA) utilized canonical promoters, produced spliced transcripts, was distinctive and predominantly driven by the maternal genome. Expression represented pathways not only associated with embryo development but with cancer. In human one-cell embryos, hundreds of genes were up-regulated, days earlier than thought, with conservation to mouse iEGA. These findings provide a functional basis for epigenetic analysis in early-stage embryos and illuminate networks governing totipotency and other cell-fate transitions.
2021-12-22 | GSE157834 | GEO
Project description:Mesorhizobium loti strain:LU Genome sequencing and assembly
| PRJNA422678 | ENA