60S acidic ribosomal protein P0,60S ribosomal protein L10E,Arbp,Rat,Rattus norvegicus,Rplp0
- Known as:
- 60S acidic ribosomal protein P0,60S ribosomal protein L10E,Arbp,Rat,Rattus norvegicus,Rplp0
- Catalog number:
- EIAAB35154
- Category:
- -
- Supplier:
- EIAab
- Gene target:
- 60S acidic ribosomal protein P0 L10E Arbp Rat Rattus norvegicus Rplp0
Related genes to: 60S acidic ribosomal protein P0,60S ribosomal protein L10E,Arbp,Rat,Rattus norvegicus,Rplp0
- Gene:
- RPLP0 NIH gene
- Name:
- ribosomal protein lateral stalk subunit P0
- Previous symbol:
- -
- Synonyms:
- PRLP0, P0, L10E, RPP0, LP0
- Chromosome:
- 12q24.23
- Locus Type:
- gene with protein product
- Date approved:
- 1993-12-16
- Date modifiied:
- 2016-10-05
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- Identifying a proper reference gene allows us to understand fundamental changes in many biological processes. Normalization during gene expression analyses is essential for every tissue/cell type, including parathyroid tissue glandular cells. Quantitative method of gene expression analyses via qRT-PCR method provides the accurate examination of every target gene. There are limited reports to present commonly used reference genes in human parathyroid tissues rather than for glandular cell types. This study aims to determine and compare the most stable to least stable genes for parathyroid tissue cells. 43 human parathyroid tissue obtained from primary and secondary hyperparathyroidism patients and glandular cells isolated enzymatically by the removal of extracellular matrix components. After extraction of the total RNA, cDNA synthesis was performed, then qRT-PCR evaluated 14 candidate reference genes. Stability was determined by RefFinder software (Delta ct, BestKeeper, Genorm, and NormFinder algorithms), and the outcome was evaluated for five groups. Even if assessed with different groups, the most stable genes were RPLP0 and GAPDH, while the CLTC and RNA 18S were the least stable. We have confirmed the comprehensive ranking of the most stable three genes alone with the NormFinder algorithm to understand intergroup variation and found out that RPLP0>GAPDH>PGK1. Lastly, comparisons of relative target gene (GCM2) expression revealed similar expression patterns for the most stable reference genes. The most stable reference gene is recommended for the stages where stability is evaluated using the results of four different approaches using RefFinder. We aspire for this study to assist future research to conduct thorough assessments of appropriate reference genes before engaging in gene expression analyses for parathyroid tissue. - Source: PubMed
Publication date: 2024/03/14
Goncu Beyza - Quantitative real-time polymerase chain reaction (qRT-PCR) has become a commonly used method for the quantification of gene expression. However, accurate qRT-PCR analysis requires a valid internal reference for data normalization. To determine the valid reference characterized with low expression variability among Spodoptera litura samples after microbial pesticide treatments, nine housekeeping genes, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), arginine kinase, ubiquitin C, actin-5C (ACT5C), actin, ribosomal protein S13 (RPS13), tubulin, acidic ribosomal protein P0 (RPLP0) and ubiquinol-cytochrome c reductase, were evaluated for their suitability using geNorm, Normfinder, BestKeeper, RefFinder and the comparative delta CT methods in this study. S. litura larvae after direct treatment (larvae were immersed in biopesticides), indirect treatment (larvae were fed with biopesticide immersed artificial diets) and comprehensive treatment (larvae were treated with the first two treatments in sequence), respectively with Metarhizium anisopliae, Empedobacter brevis and Bacillus thuringiensis, were investigated. The results indicated that the best sets of internal references were as follows: RPLP0 and ACT5C for direct treatment conditions; RPLP0 and RPS13 for indirect treatment conditions; RPS13 and GAPDH for comprehensive treatment conditions; RPS13 and RPLP0 for all the samples. These results provide valuable bases for further genetic researches in S. litura. - Source: PubMed
Publication date: 2024/03/13
Wu ShuangLuo YunmiZeng ZhihongYu YingZhang ShicaiHu YanChen Lei - Bone, a pivotal structural organ, is susceptible to disorders with profound health implications. The investigation of gene expression in bone tissue is imperative, particularly within the context of metabolic diseases such as obesity and diabetes that augment the susceptibility to bone fractures. The objective of this study is to identify a set of internal control genes for the analysis of gene expression. - Source: PubMed
Publication date: 2024/03/02
Ai YuanliPeng KunLi ChunliZhang JunWang GangWang BinHuang Enyi - Reference genes are used as internal reaction controls for gene expression analysis, and for this reason, they are considered reliable and must meet several important criteria. In view of the absence of studies regarding the best reference gene for the analysis of acute leukemia patients, a panel of genes commonly used as endogenous controls was selected from the literature for stability analysis: Glyceraldehyde-3-phosphate dehydrogenase (), Abelson murine leukemia viral oncogene human homolog 1 (), Hypoxanthine phosphoribosyl-transferase 1 (), Ribosomal protein lateral stalk subunit P0 (), β-actin () and TATA box binding protein (). The stability of candidate reference genes was analyzed according to three statistical methods of assessment, namely, NormFinder, GeNorm and R software (version 4.0.3). From this study's analysis, it was possible to identify that the endogenous set composed of , , and demonstrated good performances and stable expressions between the analyzed groups. In addition to that, the and genes could not be classified as good reference genes, considering that they presented a high standard deviation and great variability between groups, indicating low stability. Given these findings, this study suggests the main endogenous gene set for use as a control/reference for the gene expression in peripheral blood and bone marrow samples from patients with acute leukemias is composed of the , , and genes. Researchers may choose two to three of these housekeeping genes to perform data normalization. - Source: PubMed
Publication date: 2024/01/24
Pessoa Flávia Melo Cunha de PinhoViana Vitória Beatriz de Jesusde Oliveira Marcelo BragaNogueira Beatriz Maria DiasRibeiro Rodrigo MonteiroOliveira Deivide de SousaLopes Germison SilvaVieira Ricardo Parente Garciade Moraes Filho Manoel Odoricode Moraes Maria Elisabete AmaralKhayat André SalimMoreira Fabiano CordeiroMoreira-Nunes Caroline Aquino - The therapeutic effect of mesenchymal stromal cells (MSCs) has been described for a variety of disorders, including those affecting musculoskeletal tissues. In this context, the literature reports several data about the regenerative effectiveness of MSCs derived from bone marrow, adipose tissue, and an amniotic membrane (BMSCs, ASCs, and hAMSCs, respectively), either when expanded or when acting as clinical-grade biologic pillars of products used at the point of care. To date, there is no evidence about the superiority of one source over the others from a clinical perspective. Therefore, a reliable characterization of the tissue-specific MSC types is mandatory to identify the most effective treatment, especially when tailored to the target disease. Because molecular characterization is a crucial parameter for cell definition, the need for reliable normalizers as housekeeping genes (HKGs) is essential. In this report, the stability levels of five commonly used HKGs (, , , , and ) were sifted into BMSCs, ASCs, and hAMSCs. Adult and fetal/neonatal MSCs showed opposite HKG stability rankings. Moreover, by analyzing MSC types side-by-side, comparison-specific HKGs emerged. The effect of less performant HKG normalization was also demonstrated in genes coding for factors potentially involved in and predicting MSC therapeutic activity for osteoarthritis as a model musculoskeletal disorder, where the choice of the most appropriate normalizer had a higher impact on the donors rather than cell populations when compared side-by-side. In conclusion, this work confirms HKG source-specificity for MSCs and suggests the need for cell-type specific normalizers for cell source or condition-tailored gene expression studies. - Source: PubMed
Publication date: 2024/01/25
Ragni EnricoPiccolo SimonaPapait AndreaDe Luca PaolaTaiana MichelaGrieco GiulioSilini Antonietta RosaParolini Ornellade Girolamo Laura