Hexapoda
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA234006 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:DNA damage can promote altered RNA splicing and decreased gene expression (Gregersen and Svejstrup, 2018; Milek et al., 2017; Munoz et al., 2009; Shkreta and Chabot, 2015), and aberrant splicing is implicated in neurodegenerative diseases including amyotrophic lateral sclerosis (ALS), Fragile X syndrome and spinal muscular atrophy (SMA) (Conlon et al., 2016; Jia et al., 2012; Loomis et al., 2014; Qiu et al., 2014; Scotti and Swanson, 2016). Therefore, we used RNA-seq data to assess RNA-splicing in double-mutant brain tissue using multivariate analysis of transcriptional splicing (rMATS) (Shen et al., 2014) and a splicing deficiency score algorithm (Bai et al., 2013) to assess intron retention.
2021-12-14 | GSE174841 | GEO
Project description:The lysine 23 of histone H3 (H3K23me2) positively correlates with H3K9me3 and H3K27me3, marks enriched in heterochromatic regions (Ho, J.W. et al., 2014; Garrigues, J.M. et al., 2015; Liu, T. et al., 2015), and negatively correlates with H3K36me2/3 and H3K23/27ac, modifications enriched in actively transcribed regions. Similarly to the reported distribution of H3K9me3 (Ho, J.W. et al., 2014; Garrigues, J.M. et al., 2015), H3K23me2 is enriched on autosomal arms and is depleted from the central regions of the autosomes and from most of the lenght of the X chromosome.
2016-10-17 | GSE88834 | GEO
Project description:'Shewanella arctica' Qoura et al. 2014 overview
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Project description:CD47 is a transmembrane glycoprotein that is ubiquitously expressed in different organs and tissues (Barclay and Van den Berg 2014; Liu, et al. 2017). In the human immune system, CD47 interacts with some integrins, two counter-receptor signal regulator protein (SIRP) family members, and the secreted thrombospondin-1 (TSP1) (Barclay and Van den Berg 2014; Gao, et al. 2016; Kaur, et al. 2013; Oldenborg, et al. 2000). CD47 has two established roles in the immune system. The CD47-SIRPα interaction was identified as a critical innate immune checkpoint, which delivers an antiphagocytic signal to macrophages and inhibits neutrophil cytotoxicity (Martínez- Sanz, et al. 2021). Its interaction with inhibitory SIRPα is a physiological anti-phagocytic “don’t eat me” signal on circulating red blood cells that is co-opted by cancer cells (Matlung, et al. 2017). Many malignant cells overexpress CD47 (Betancur, et al. 2017; Chao, et al. 2011; Jaiswal, et al. 2009; Majeti, et al. 2009; Oronsky, et al. 2020; Petrova, et al. 2017). CD47/SIRPα-targeted therapeutics have been developed to overcome this immune checkpoint for cancer treatment (Kaur, et al. 2020; Matlung, et al. 2017). Secondly, engagement of CD47 on T cells by TSP1 regulates their differentiation and survival (Grimbert, et al. 2006; Lamy, et al. 2007) and inhibits T cell receptor signaling and antigen presentation by dendritic cells (DCs) (Kaur, et al. 2014; Li, et al. 2002; Liu, et al. 2015; Miller, et al. 2013; Soto-Pantoja, et al. 2014; Weng, et al. 2014). TSP1/CD47 signaling has similar inhibitory functions to limit NK cell activation (Kim, et al. 2008; Nath, et al. 2018; Nath, et al. 2019; Schwartz, et al. 2019) and IL1β production by macrophages (Stein, et al. 2016). CD47 is therefore a checkpoint that regulates both innate and adaptive immunity. The recent understanding of CD47 antagonism associated with increased antigen presentation by DCs (Liu, et al. 2016) and natural killer cell cytotoxicity (Nath, et al. 2019) contributes to the heightened interest in CD47 as a therapeutic target (Kaur, et al. 2020).
2022-09-21 | GSE198820 | GEO
Project description:Ten mutants with altered seed composition traits were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were maintained to an advanced generation (ranging between M5 and M9) and compared to their wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with the seed composition changes.
2018-08-16 | GSE118594 | GEO
Project description:Ependymomas are neuroepithelial tumors of the central nervous system (CNS), presenting in both adults and children but accounting for almost 10% of all pediatric CNS tumors and up to 30% of CNS tumors in children under 3 years (Bouffet et al., 2009; McGuire et al., 2009; Rodriguez et al., 2009). In children, most ependymomas arise in the posterior fossa, while most adult ependymomas present around the lower spinal cord and spinal nerve roots. Ependymomas display a wide range of morphological features, and several variants are listed in the World Health Organization (WHO) classification (Ellison et al., 2016). These variants are assigned to three WHO grades (I-III), but the clinical utility of this classification is acknowledged to be limited (Ellison et al., 2011). An increasing understanding of the genomic landscape of ependymoma and the discovery of distinct molecular groups by DNA methylation or gene expression profiling have begun to refine approaches to disease classification and prognostication, but have yet to be translated into clinical routine (Hoffman et al., 2014; Mack et al., 2014; Pajtler et al., 2017; Pajtler et al., 2015; Parker et al., 2014; Wani et al., 2012; Witt et al., 2011). Our comprehensive study of DNA methylation profiling across the entire disease demonstrated three molecular groups for each major anatomic compartment: supratentorial (ST), posterior fossa (PF), and spinal (SP) (Pajtler et al., 2015). In the ST compartment, two molecular groups (ST-EPN-RELA and ST-EPN-YAP1) align with tumors harboring specific genetic alterations, RELA and YAP1 fusion genes, which were initially discovered in a whole genome sequencing study (Parker et al., 2014). Among PF ependymomas, two of three molecular groups, PFA (PF-EPN-A) and PFB (PF-EPN-B), account for nearly all tumors; PF-SE tumors are rare, generally showing the morphology of a subependymoma (Pajtler et al., 2015). PFA tumors are found mainly in infants and young children (median age ≈ 3yrs) and have a relatively poor outcome, while PFB tumors are generally found in young adults (median age ≈ 30yrs) and are associated with a better prognosis (Pajtler et al., 2015; Witt et al., 2011). PFA tumors show few copy number alterations (CNAs), while PFB tumors harbor multiple CNAs that tend to affect entire chromosomes. While recurrent structural variants (SVs) are found in ST ependymomas, recurrent SVs or other mutations, such as single nucleotide variants (SNVs) and insertions or deletions (indels), have not been identified in PF ependymomas to date (Mack et al., 2014; Parker et al., 2014).
2018-06-26 | GSE104210 | GEO
Project description:Two high-sucrose/low-oil mutants (FN0176450/2012CM7F040P06/SRX826343 and FN0176450/2012CM7F040P05/SRX826351) were identified in a soybean fast neutron population (Bolon et al. 2014). These mutant lines were then advanced to the M3:7 generation and compared to thier wild-type parent (M92-220-Long) using CGH to identify the causative region/gene associated with high-sucrose/low-oil.
2017-01-14 | GSE93411 | GEO
Project description:Small RNA libraries of wildtype Arabidopsis thaliana and its mutant Dicer-like 1 (Dcl1) were constructed and sequenced for miRNA identification and expression analysis. The mutant data was used to validate novel miRNA predictions (from miRCat2 (Paicu et al. 2017), miRCat (Moxon et al. 2008), miRPlant (An et al. 2014) and miReap (http://mireap.sourceforge.net/)), by calculating the log fold change between the mutant and the wildtype samples.
2017-04-17 | GSE90771 | GEO
Project description:Male factors account for approximately 40% of all infertility. Conventional semen analysis focus on seminal physicochemical property and spermatozoa morphology. They yield no information concerning the functional competence of the spermatozoa(Petrunkina et al., 2007). Owning to the essential role of proteins in the reproductive process, comprehensive and systematic identification of proteome is critical to gain new insights into spermatogenesis and infertility. Recent advances in mass spectrometry have allowed the identification of hundreds to thousands of protein in spermatozoa(Oliva et al., 2008; Amaral et al., 2014; Codina et al., 2015). In major domestic mammalian species, global spermatozoa proteomic profiles have been described in rodents(Baker et al., 2008a; Baker et al., 2008b) and bovine(Peddinti et al., 2008). Meanwhile, lacking of new protein synthesis in spermatozoa supports the current view that the regulation of sperm maturation is controlled by exogenous proteins(O'Rand et al., 2011) (e.g., during epididymal transit). Among the seminal plasma proteins, The human seminal plasma has been comprehensively described (Pilch and Mann, 2006; Batruch et al., 2011; Milardi et al., 2012; Milardi et al., 2013; Sharma et al., 2013). In domestic animal species, some studies performing a systematic analysis on using high throughput proteomics have been performed(Kelly et al., 2006; Moura et al., 2007; Souza et al., 2012; Druart et al., 2013; Soleilhavoup et al., 2014). Buffalos (Bubalus bubalis) are adapted to hot–humid tropical climatic conditions, but have low reproductive efficiency. The low sperm motility maybe contributed to protein components variation of spermatozoa and seminal plasma. The composition of buffalo spermatozoa and buffalo seminal plasma (BSP) remains unknown. Proteomic study would be beneficial to the elucidation of the roles of sperm and BSP proteins in regulation of maturation, motility and fertilization. As such, the aim of the current study was to extensively characterize the differentially expressed protein of buffalo spermatozoa and seminal plasma using a comparative proteomics.
2019-06-03 | PXD003859 | Pride