Enzymes & reagents for molecular biology Ribonuclease Inhibitor
- Known as:
- Enzymes & reagents molecular biology Ribonuclease Inhibitor
- Catalog number:
- 7R1
- Category:
- -
- Supplier:
- Hytest
- Gene target:
- Enzymes & reagents for molecular biology Ribonuclease Inhibitor
Related genes to: Enzymes & reagents for molecular biology Ribonuclease Inhibitor
- 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: Enzymes & reagents for molecular biology Ribonuclease Inhibitor
(+)-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 inhibitor(Z-Cys-OH)2, peptide reagents(Z-Cys-OH)2, peptide reagents10 days embryo whole body cDNA. RIKEN full-length enriched library. clone 2610510L15 product poly(A)-specific ribonuclease (dead - N_A Polyclonal10 nm Colloidal Gold Conjugated Goat Anti-mouse IgG, Immunogen: Mouse IgG (whole molecular)., Host: Goat, Clone: Polyclonal , Specificity: This colloidal gold conjugated antibody is specific for mou10 nm Colloidal Gold Conjugated Goat Anti-rabbit IgG, Immunogen: Rabbit IgG (whole molecular)., Host: Goat, Clone: Polyclonal , Specificity: This colloidal gold conjugated antibody is specific for r10 nm Colloidal Gold Conjugated Rabbit Anti-goat IgG, Immunogen: Goat IgG (whole molecular)., Host: Rabbit, Clone: Polyclonal , Specificity: This colloidal gold conjugated antibody is specific for Related articles to: Enzymes & reagents for molecular biology Ribonuclease Inhibitor
- BACKGROUND: Preeclampsia (PE) poses a serious threat to maternal and fetal health, and its early, reliable diagnosis remains challenging. METHODS: We conducted a two-phase study using a discovery and validation design. Initially, multiple RNA-sequencing datasets from NCBI GEO were aggregated, and differentially expressed genes (DEGs) were identified via meta-analysis. The DEGs were then analyzed with weighted gene co-expression network analysis (WGCNA) to pinpoint the module most associated with PE. A signature biomarker model was developed using binary logistic regression and subsequently validated by real-time PCR (RT-PCR) on placental tissues from 30 PE patients and 30 matched controls. RESULTS: Meta-analysis yielded over 4000 DEGs, from which WGCNA identified a module of 100 genes most correlated with PE. Within this module, 24 genes exhibited |logFC| > 1, and four candidates (FSTL3, PNCK, PPP1R1C, TBC1D26) demonstrated a high discriminative ability as a combined signature biomarker (AUC = 0.90). Subsequent RT-PCR analysis confirmed the overexpression of FSTL3 and downregulation of PPP1R1C, with PNCK and TBC1D26 undetectable. However, FSTL3 did not significantly differentiate PE patients (AUC = 0.6, p > 0.05), whereas PPP1R1C achieved high accuracy (AUC = 0.94, p < 0.0001). Additionally, the alterations of FSTL3 and PPP1R1C were not correlated and combining them did not improve the diagnostic ability compared to individual usage of PPP1R1C. CONCLUSION: Placental downregulation of PPP1R1C mRNA effectively distinguishes PE patients from healthy controls, indicating its promise as a diagnostic biomarker. - 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