A Gene Regulatory Program for Meiotic Prophase in the Fetal Ovary
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
SUBMITTER: Ying Qi Shirleen Soh
PROVIDER: E-GEOD-70361 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Pseudomonas aeruginosa is an opportunistic pathogen that requires iron for growth and virulence, yet this nutrient is sequestered by the innate immune system during infection. When iron is limiting, P. aeruginosa expresses the PrrF1 and PrrF2 small regulatory RNAs (sRNAs), which post-transcriptionally repress expression of non-essential iron-containing proteins thus sparing this nutrient for more critical processes.The genes for the PrrF1 and PrrF2 sRNAs are arranged in tandem on the chromosome, allowing for the transcription of a longer heme-responsive sRNA, termed PrrH. While the functions of PrrF1 and PrrF2 have been studied extensively, the role of PrrH in P. aeruginosa physiology and virulence is not well understood. In this study, we performed transcriptomic and proteomic studies to identify the PrrH regulon.
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Project description:To investigate the usefulness of gene expression as diagnostic biomarkers, we compared whole genome expression profiles of lumbar spinal cord with profiles of peripheral blood and tibialis anterior muscle in 16 mutant G93A-SOD1 mice and 15 wild type littermates. Total RNA obtained from blood, tibialis anterior muscle and lumbar spinal cord of G93A-SOD1 mice compared to wild type littermates.
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Project description:Ananas comosus var. bracteatus has high ornamental value and widespread application because of its chimeric leaves. However, little is known about the molecular mechanism regulating this characteristic. Here, comparative transcriptomic and proteomic analyses of the white parts (Whs) and green parts (Grs) of the chimeric leaves were performed to identify differentially expressed genes (DEGs) and differentially expressed proteins (DEPs). In total, 1,685 DEGs, including 712 up- and 973 down-regulated ones, and 5,428 DEPs, including 1,018 up- and 795 down-regulated ones, were identified between the Whs and Grs. Comparisons with the GO and KEGG annotations revealed that the DEGs were involved mostly in carbon fixation, porphyrin and chlorophyll metabolism and oxidative phosphorylation. The DEPs were mainly involved in ribosomes, photosynthesis, photosynthesis antennas, and porphyrin and chlorophyll metabolism. Combined analysis showed that nine proteins related to chlorophyll biosynthesis, photosynthetic pigments, and photosynthesis were unchanged at mRNA level but suppressed at protein level. These results indicated that the albino phenotype of the Whs was caused by the proteomic-level suppression of key enzymes involved in the chlorophyll biosynthesis pathway and that translational and post-translational regulation may play important roles in both the biosynthesis of photosynthetic pigments and photosynthesis. Biological significance: Leaves of Ananas comosus var. bracteatus serve as the best materials for the study of albino mechanism. Because the chemic trait of A. comosus var. bracteatus is unstable and the molecular mechanism of the albino cells was poorly understood, we performed comparative analyses both at the transcriptome and proteome levels. This work revealed suppressed proteomic-level and translational and post-translational regulation contribute to the albino phenotype formation. Our results provide better information concerning the molecular mechanism within the chimeric leaves of A. comosus var. bracteatus.
2019-06-10 | PXD010375 | Pride
Project description:We report genome-wide maps of transcription in mouse erythroid cells. We used an approach to survey poly(A)+ (mRNA) (GSE26877) and non-polyadenylated RNA poly(A)- (GSE27920) separately. This provides an alternative framework for comprehensive transcriptome profiling in mammalian cells. Two Samples. mRNA-seq from wild type murine Ter119+ cells and mRNA-seq from ?MCS-P6MCS-R3-/- Ter119+ cells
2012-01-30 | E-GEOD-26877 | biostudies-arrayexpress
Project description:Olfactory ensheathing cells are one of the few central nervous system regenerative cells discovered so far. It is characterized by its lifelong nerve regeneration function, and it can also release a variety of neurotrophic factors and neural adhesion molecules. It is considered to be the glial cell with the strongest myelination ability. Olfactory ensheathing cells and Schwann cells have phenotypes in common, they can promote axon regeneration(R. Doucette, 1995). Olfactory ensheathing cells have the characteristics of Schwann cells and astrocytes, but the overall performance tends to be the former, which has two unique characteristics. First, it exists not only in the peripheral nerves (Schwann cells), but also in the central nervous system (astroglia); second, the olfactory mucosa has the ability to regenerate life-long, including human olfactory ensheathing cells(J. C. Bartolomei and C. A. Greer, 2000). Regeneration is a process in which olfactory ensheathing cells participate in efficient regulation, although the specific mechanism is not yet clear. Olfactory ensheathing cells are different from astrocytes and Schwann cells, but at the same time have the characteristics of these two cells(S. C. Barnett, 2004), like Schwann cells help axon growth, but more than Schwann cells It can make axons grow long distances, that is, it has stronger migration(A. Ramon-Cueto et al., 1998); there are also astrocytes that have a nutritional effect on the survival of neurons and the growth of axons, but olfactory ensheathing cells can also wrap neurons forms myelin sheath to support the growth of nerve processes(R. Devon and R. Doucette, 1992; J. Gu et al., 2019). There are two characteristics that make olfactory ensheathing cells the best choice for the treatment of neurological diseases(S. C. Chiu et al., 2009; J. Kim et al., 2018; M. Abdel-Rahman et al., 2018). Olfactory ensheathing cells are gradually used to treat spinal cord injuries and have shown amazing effects(J. C. Bartolomei and C. A. Greer, 2000; K. J. Liu et al., 2010; R. Yao et al., 2018). Olfactory ensheathing cells that have been used in research are usually derived from the olfactory bulb(E. H. Franssen et al., 2007), but it is easier to obtain olfactory ensheathing cells from the olfactory mucosa in clinical practice(M. Ryszard et al., 2006), so the difference between the olfactory ensheathing cells from the olfactory bulb and the olfactory mucosa There are more and more studies(B. M. U. et al., 2007), and previous studies have shown that they not only have many similar functions, but also have many differences(M. W. Richter et al., 2005; L. Wang et al., 2014; K. E. Smith et al., 2020). Because olfactory ensheathing cells derived from the olfactory bulb are not easy to obtain, olfactory ensheathing cells derived from the olfactory mucosa have become the focus of attention. Although we know that olfactory ensheathing cells from two sources have nerve repair functions, it is not clear why the two different sources of olfactory ensheathing cells have different therapeutic effects. Nicolas G. once studied that the genetic difference between the two cells and found that there are many genes related to wound repair and nerve regeneration(G. Nicolas et al., 2010). We have reason to guess that olfactory ensheathing cells from these two sources will also have a large difference in protein level. Our research group wants to use the current mature transcriptome and proteomic sequencing technologies to explore the difference between olfactory ensheathing cells from the olfactory bulb and olfactory mucosa, and explain why the two sources of olfactory ensheathing cells shows different therapeutic effects, hope to provide a new theoretical basis for future clinical treatment.
2022-02-16 | PXD024046 | Pride
Project description:Identification of blood biomarkers that prospectively predict progression of Mycobacterium tuberculosis infection to tuberculosis disease might lead to interventions that combat the tuberculosis epidemic. We aimed to assess whether global gene expression measured in whole blood of healthy people allowed identification of prospective signatures of risk of active tuberculosis disease. RESULTS:Between July 6, 2005, and April 23, 2007, we enrolled 6363 from the ACS study and 4466 from independent South African and Gambian cohorts. 46 progressors and 107 matched controls were identified in the ACS cohort. A 16 gene signature of risk was identified. The signature predicted tuberculosis progression with a sensitivity of 66·1% (95% CI 63·2â68·9) and a specificity of 80·6% (79·2â82·0) in the 12 months preceding tuberculosis diagnosis. The risk signature was validated in an untouched group of adolescents (p=0·018 for RNA sequencing and p=0·0095 for qRT-PCR) and in the independent South African and Gambian cohorts (p values <0·0001 by qRT-PCR) with a sensitivity of 53·7% (42·6â64·3) and a specificity of 82·8% (76·7â86) in 12 months preceding tuberculosis. Interpretation: The whole blood tuberculosis risk signature prospectively identified people at risk of developing active tuberculosis, opening the possibility for targeted intervention to prevent the disease. In this prospective cohort study, we followed up healthy, South African adolescents aged 12â18 years from the adolescent cohort study (ACS) who were infected with M tuberculosis for 2 years. We collected blood samples from study participants every 6 months and monitored the adolescents for progression to tuberculosis disease. A prospective signature of risk was derived from whole blood RNA sequencing data by comparing participants who developed active tuberculosis disease (progressors) with those who remained healthy (matched controls). After adaptation to multiplex qRT-PCR, the signature was used to predict tuberculosis disease in untouched adolescent samples and in samples from independent cohorts of South African and Gambian adult progressors and controls. Participants of the independent cohorts were household contacts of adults with active pulmonary tuberculosis disease.
2016-03-22 | E-GEOD-79362 | biostudies-arrayexpress