Ribonuclease Inhibitor, 4x2500 units Polymerases_ Modify. Enzymes
- Known as:
- Ribonuclease Inhibitor, 4x2500 units Polymerases_ Modify. Enzymes
- Catalog number:
- ME4310
- Category:
- -
- Supplier:
- Viva
- Gene target:
- Ribonuclease Inhibitor 4x2500 units Polymerases_ Modify. Enzymes
Related genes to: Ribonuclease Inhibitor, 4x2500 units Polymerases_ Modify. Enzymes
- Gene:
- PPP1R1C NIH gene
- Name:
- protein phosphatase 1 regulatory inhibitor subunit 1C
- Previous symbol:
- -
- Synonyms:
- Inhibitor-1-like
- Chromosome:
- 2q31.3-q32.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-29
- Date modifiied:
- 2018-02-13
Related products to: Ribonuclease Inhibitor, 4x2500 units Polymerases_ Modify. Enzymes
(+)-Abscisic Acid Inhibitor(+)-JQ1 Bromodomain Inhibitor(+)-JQ1 Bromodomain Inhibitor(+)-JQ1 Bromodomain Inhibitor(2S,3S)_trans_Epoxysuccinyl_L_leucylami Inhibitor for thiol protea(R)-MG132 Ubiquitin inhibitor(S)-HDAC-42 HDAC inhibitor(S)-HDAC-42 inhibitor(S)-MG132 Ubiquitin inhibitor0.02 M Iodine in THF _ pyridine _ water
(V _ V _ V = 70 _ 20 _ 10), Oxidization0.02 M Iodine in THF _ pyridine _ water
(V _ V _ V = 89.6 _ 0.4 _ 10), Oxidization0.3 M Hyacinth BMT Solution in anhydrous acetonitrile with 0.5% NMI
purity >98%, <20 ppm water, Activators1,000 Units of Taq DNA Polymerase, Concentration = 5 Units_ul 10X Combination Reaction Buffer1,000 Units of Taq DNA Polymerase, Concentration = 5 Units_ul Glycerol Free (10X Reaction Buffer Sold Separately)1,000 Units of Taq DNA Polymerase, Concentration = 5 Units_ul With both 10X Standard AND 10X Ammonium Reaction Buffer Related articles to: Ribonuclease Inhibitor, 4x2500 units Polymerases_ Modify. Enzymes
- Preeclampsia (PE) poses a serious threat to maternal and fetal health, and its early, reliable diagnosis remains challenging. - Source: PubMed
Publication date: 2026/02/09
Ebrahimi AmirHeidary ZohrehZaki-Dizaji Majid - Alopecia areata (AA) is an easy-recurring disease that presents huge challenges globally. An efficient clinical tool to predict AA onset would be valuable for timely intervention. We extracted six AA-related datasets from Gene Expression Omnibus (GEO). GO, KEGG, GSEA, GSVA and CIBERSORT algorithm were performed to elucidate the characteristics of AA. Feature genes were identified using LASSO regression and Random Forest algorithms. Five machine learning algorithms (Logistic Regression, K-nearest neighbors, Elastic Net, XGBoost and LightGBM) were employed to construct predictive models, with internal and external validation conducted to determine the optimal model. Additionally, SHapley Additive exPlanations (SHAP) analysis was applied to interpret the best-performing model and shiny framework was applied to establish an online predictive website. Five datasets (GSE45512, GSE68801, GSE80342, GSE58573, GSE74761) were integrated as train set and GSE148346 was defined as test set. Tissue regeneration and immune dysregulation were the key factors in AA pathogenesis. Three feature genes (KRT83, PPP1R1C, PIRT) were selected for model construction, with innate immune response, neural inflammatory and stress being a potential regulator for AA. The XGBoost model outperformed other algorithms, SHAP provided explanations for predictions and an online predictive website was established. Our study provides a potential "neuro-stress-immune" interplay insight into the pathogenesis of AA and establishes a clinically applicable predictive model for AA onset. - Source: PubMed
Publication date: 2025/12/26
Chen AnxinShang LinJu YingjiaoZhuo Fenglin - The Markhoz goat is the only breed that can produce high-quality fiber called mohair in Iran; however, the size of its population has faced a dramatic decline during the last decades, mainly due to the reluctance of farmers to rear Markhoz goats caused by a reduction in goat production income. Litter size at birth (LSB) and weaning (LSW) are two economically important reproductive traits for local goat breeders and have the potential of increasing the population growth rate. The present study was aimed to identify possible genomic regions that are associated with LSB and LSW in Markhoz goats using a genome-wide association study (GWAS). - Source: PubMed
Publication date: 2022/11/23
Mahmoudi PeymanRashidi AmirNazari-Ghadikolaei AnahitRostamzadeh JalalRazmkabir MohammadHuson Heather Jay - Mesenchymal stem cells (MSCs) have seen an elevated use in clinical works like regenerative medicine. Its potential therapeutic properties increases when used in tandem with complementary agents like bio-based materials. Therefore, the present study is the first to investigate the cytotoxicity of a highly valued medicinal plant, Moringa oleifera, on human Wharton's Jelly mesenchymal stem cells (hWJMSCs) and its effects on the cells' gene expression when used as a pre-treatment agent in vitro. M. oleifera leaves (MOL) were dried and subjected to UHPLC-QTOF/MS analysis, revealing several major compounds like apigenin, kaempferol, and quercetin in the MOL, with various biological activities like antioxidant and anti-cancer properties. We then treated the hWJMSCs with MOL and noticed a dose-dependant inhibition on the cells' proliferation. RNA-sequencing was performed to explain the possible mechanism of action and revealed genes like PPP1R1C, SULT2B1, CDKN1A, mir-154 and CCNB1, whose expression patterns were closely associated with the negative cell cycle regulation and cell cycle arrest process. This is also evident from gene set enrichment analysis where the GO and KEGG terms for down-regulated pathways were closely related to the cell cycle regulation. The Ingenuity pathway analysis (IPA) software further predicted the significant activation of (p < 0.05, z-score > 2) of the G2/M DNA damage checkpoint regulation pathway. The present study suggests that MOL exhibits an antiproliferative effect on hWJMSCs via cell cycle arrest and apoptotic pathways. We believe that this study provides an important baseline reference for future works involving MOL's potential to accompany MSCs for clinical works. Future works can take advantage of the cell's strong anti-cancer gene expression found in this study, and evaluate our MOL treatment on various cancer cell lines. - Source: PubMed
Publication date: 2022/10/05
Ramarao Kivaandra Dayaa RaoSomasundram ChandranRazali ZulianaKunasekaran WijenthiranJin Tan LiMusa SabriAchari Vijayan Manickam - The spiral ganglion neurons constitute the primary connection between auditory hair cells and the brain. The spiral ganglion afferent fibers and their synapse with hair cells do not regenerate to any significant degree in adult mammalian ears after damage. We have investigated gene expression changes after kainate-induced disruption of the synapses in a neonatal cochlear explant model in which peripheral fibers and the afferent synapse do regenerate. We compared gene expression early after damage, during regeneration of the fibers and synapses, and after completion of in vitro regeneration. These analyses revealed a total of 2.5% differentially regulated transcripts (588 out of 24,000) based on a threshold of p<0.005. Inflammatory response genes as well as genes involved in regeneration of neural circuits were upregulated in the spiral ganglion neurons and organ of Corti, where the hair cells reside. Prominent genes upregulated at several time points included genes with roles in neurogenesis (Elavl4 and Sox21), neural outgrowth (Ntrk3 and Ppp1r1c), axonal guidance (Rgmb and Sema7a), synaptogenesis (Nlgn2 and Psd2), and synaptic vesicular function (Syt8 and Syn1). Immunohistochemical and in situ hybridization analysis of genes that had not previously been described in the cochlea confirmed their cochlear expression. The time course of expression of these genes suggests that kainate treatment resulted in a two-phase response in spiral ganglion neurons: an acute response consistent with inflammation, followed by an upregulation of neural regeneration genes. Identification of the genes activated during regeneration of these fibers suggests candidates that could be targeted to enhance regeneration in adult ears. - Source: PubMed
Publication date: 2020/10/01
Wu Chen-ChiBrugeaud AuroreSeist RichardLin Hsiao-ChunYeh Wei-HsiPetrillo MarcoCoppola GiovanniEdge Albert S BStankovic Konstantina M