Ask about this productRelated genes to: SRP14 antibody
- Gene:
- SRP14 NIH gene
- Name:
- signal recognition particle 14
- Previous symbol:
- -
- Synonyms:
- ALURBP, MGC14326
- Chromosome:
- 15q22
- Locus Type:
- gene with protein product
- Date approved:
- 1991-12-05
- Date modifiied:
- 2016-06-07
Related products to: SRP14 antibody
Related articles to: SRP14 antibody
- Endometriosis has a significant impact on the social, psychological, psychosomatic, and physical aspects of women's lives. There is increasing evidence that endometriosis has to be seen as a systemic and complex disorder with a multifactorial etiology, accompanied by numerous other pathologies, such as mental disorders and even cancer. Herein, we analyzed Disability-Adjusted Life Years (DALYs) and Years Lived with Disability (YLDs) generated from the Global Burden of Disease Study (GBD 2021), which are key metrics used to measure the worldwide impact of diseases. Besides, differential gene expression data generated from the Turku Endomet Database were calculated. Briefly, log2-transformed gene expression counts were investigated using linear modeling with the function expression ~ condition to generate log2 fold changes and -values for each gene. This enabled a precise comparative analysis of mRNA expression levels between control endometrium and various endometriosis-affected tissues, including ovarian endometrioma, peritoneal lesions, and deep endometriosis. Expression patterns of specific genes related to pain and malignant turnover within endometriosis samples and controls have been analyzed. The identification of upregulated genes like , , , , , , , , and , alongside downregulated genes such as , , , and , highlights a broad transcriptional reprogramming within endometriotic tissues. The clustering analysis, which reveals pain-related genes (/, , , , and ), further solidifies the genetic basis for the chronic and often debilitating pain experienced by patients with endometriosis. In 2021, women with endometriosis experienced the highest rates of total YLDs at 19.98%, with anxiety contributing 17.21% and major depression 8.12%, equating to mean YLDs of 15-24 years. In conclusion, our findings reinforce the need for adopting a holistic, psychosomatic approach to managing endometriosis. The identified genetic markers related to pain provide a biological basis for the profound physical suffering. At the same time, the robust DALYs and YLDs data quantify the devastating impact on mental health, particularly highlighting the significant burden of depression and anxiety. - Source: PubMed
Publication date: 2025/12/23
Kordowitzki PawelKelley Liam PMechsner Sylvia - Real-time reverse transcription quantitative polymerase chain reaction (RT-qPCR) is a technique that allows for the semi-quantification of mRNA transcripts present within a tissue of interest. Differences in the relative abundance of mRNA between samples detected by RT-qPCR require normalization with a reference gene or genes whose transcript abundance is stable within the tissue of interest independent of experimental conditions. In the field of equine reproductive studies, ACTB, GAPDH and B2M genes are the most widely used as reference genes for the normalization of RT-qPCR results. However, recent studies have demonstrated that these genes may have drastically varied expression levels in different tissues and various physiological states. Therefore, the aim of this study was to examine different putative reference genes in equine corpus luteum samples in pregnant and non-pregnant, mid-diestrus, animals. The stability of genetic expression was evaluated via three stability software analyses (GeNorm, NormFinder and BestKeeper). We hypothesized that the commonly used reference genes (ACTB, GAPDH and B2M) would be the most stably expressed genes in equine corpus luteum samples in both pregnant and non-pregnant mares. - Source: PubMed
Publication date: 2026/01/09
Ramsaran Leah NByron MichaelParry StephenLection JennineBack BradleyGrenier JenCheong Soon HonDiel de Amorim Mariana - Previous research has highlighted lysosomal ion channel-related genes (LICRGs) as promising therapeutic targets for neurodegenerative diseases. This study aimed to identify and analyze LICRG-associated biomarkers for Alzheimer's disease (AD), elucidating their underlying biological mechanisms. Three datasets (GSE63061, GSE63060, GSE181279) were analyzed. In GSE63061, intersecting genes were identified by integrating differentially expressed genes (DEGs) from differential expression analysis with key module genes from Weighted Gene Co-expression Network Analysis (WGCNA). Candidate biomarkers were then selected using the MCODE plugin for PPI analysis (top 30 genes), two machine learning approaches, and cross-validation of gene expression profiles in GSE63061 and GSE63060. Single-cell RNA sequencing (scRNA-seq) analysis of GSE181279 identified key biomarkers and cell populations, followed by pseudo-temporal analysis of these cells. Nomogram construction, functional enrichment analysis, immune infiltration assessment, and RT-qPCR analysis were subsequently performed. scRNA-seq analysis revealed that , , and were prominently expressed across most cell types, particularly in CD4 T cells, which were identified as key cells in AD. Pseudo-temporal analysis indicated that CD4 T cells from control subjects primarily resided in early differentiation stages, whereas those from patients with AD were predominantly found in later stages. The reduced expression of these biomarkers in AD CD4 T cells was consistent with transcriptomic data and further validated by RT-qPCR. A nomogram incorporating these biomarkers demonstrated strong predictive power for AD risk. Functional analysis linked the biomarkers to pathways such as "ribosome" and "oxidative phosphorylation." Immune infiltration analysis revealed 23 differentially abundant immune cell types, with significant correlations between all three biomarkers and memory CD4 T cells, mesangial cells, and other immune cell types. This study identified , , and as novel biomarkers, underscoring CD4 T cells as pivotal in AD pathogenesis. These findings offer new mechanistic insights and potential therapeutic strategies for AD. - Source: PubMed
Publication date: 2025/10/08
Wang XinWu ZelinWei ShaoliZhao XinranLin JuanZhao FangLiu Xiaolei - Autophagy targets a wide variety of substrates for degradation within lysosomes. While lysosomes are known to possess RNase activity, the role of lysosomal RNA degradation in post-transcriptional gene regulation is not well understood. Here, we define RNASET2, PLD3, and both endogenous and exogenous RNase A family members as lysosomal RNases. Cells lacking these RNases accumulated large amounts of lysosomal RNA. Although all types of RNA can be found within lysosomes, SRP RNAs, Y RNAs, 5' TOP mRNAs, long-lived mRNAs, and mRNAs encoding membrane and secreted proteins were specifically enriched. All types of RNA depend on autophagy for lysosomal targeting, but the lysosomally-enriched RNAs are more sensitive to loss of autophagy, implying that selective mechanisms mediate their lysosomal entry. RNA stability measurements revealed that lysosomally-degraded transcripts also had autophagy-dependent changes in stability. In exploring how specific RNAs are targeted for lysosomal degradation, we found that the Alu domain of SRP RNAs is sufficient for targeting these RNAs to lysosomes in fashion that depends on its interactions with the SRP9 and SRP14 proteins. For mRNAs, 5' TOP motifs are sufficient to increase their targeting to lysosomes for degradation in a LARP1-dependent manner. Altogether, our results establish lysosomes as selective modulators of cellular RNA content. - Source: PubMed
Publication date: 2025/09/09
Ray G JordanNardini EleonoraKeys Heather RLin Daniel HSabatini David MBartel David P - There are over 1 million Alu elements in the human genome which can be transcribed into discrete, RNA polymerase III transcribed noncoding Alu RNAs. These Alu RNAs often interact with and are regulated by the protein heterodimer SRP9/SRP14. This interaction is dependent on a 5' pseudoknot domain in the Alu RNA that is thought to be held together by a canonical nucleotide triad within a U-turn motif. Herein, we discover a significant reduction in BC200 expression after mutation of a critical guanosine in the U-turn motif within its pseudoknot domain. We studied a recently discovered short human Alu RNA, EB120, which lacks the canonical Alu RNA U-turn nucleotide triad. We tested the expression of EB120 in 18 different human cell lines and tissues. EB120 was found to lack association with SRP9/SRP14 in a cellular context. Small-angle X-ray scattering followed by atomistic computation structure prediction suggests the BC200 Alu domain and its U-turn mutant both possess a canonical Alu RNA fold, while EB120 lacks one. Our results highlight the structural diversity of Alu RNA, and the impact mutations may have on Alu RNA function. - Source: PubMed
Publication date: 2025/07/16
Gussakovsky DanielBrown Mira J FPereira Higor SetteMeier MarkusPadilla-Meier G PaulineBlack Nicole ABooy Evan PStetefeld JörgPatel Trushar RMcKenna Sean A