Request Demo

Last update 08 May 2025

ZNF423

Last update 08 May 2025

Basic Info

Synonyms

Ebfaz, hOAZ, JBTS19

+ [8]

Introduction

Transcription factor that can both act as an activator or a repressor depending on the context. Plays a central role in BMP signaling and olfactory neurogenesis. Associates with SMADs in response to BMP2 leading to activate transcription of BMP target genes. Acts as a transcriptional repressor via its interaction with EBF1, a transcription factor involved in terminal olfactory receptor neurons differentiation; this interaction preventing EBF1 to bind DNA and activate olfactory-specific genes. Involved in olfactory neurogenesis by participating in a developmental switch that regulates the transition from differentiation to maturation in olfactory receptor neurons. Controls proliferation and differentiation of neural precursors in cerebellar vermis formation.

Drugs associated with ZNF423

CCT-517

Target

ZNF423

Mechanism

ZNF423 inhibitors

Active Org.

Canary Cure Therapeutics Inc

Originator Org.

Canary Cure Therapeutics Inc

Active Indication

Obesity

Inactive Indication-

Drug Highest PhasePreclinical

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

CCT-217

Target

CB1R x ZNF423

Mechanism

CB1 antagonists [+1]

Active Org.

Canary Cure Therapeutics Inc

Originator Org.

Canary Cure Therapeutics Inc

Active Indication

Obesity

Inactive Indication-

Drug Highest PhasePreclinical

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with ZNF423

100 Translational Medicine associated with ZNF423

0 Patents (Medical) associated with ZNF423

110

Literatures (Medical) associated with ZNF423

01 Dec 2024·Cell Reports

Thyroid hormones are required for thermogenesis of beige adipocytes induced by Zfp423 inactivation

Article

Author: Strehlau, Christian ; Krause, Kerstin ; Blüher, Matthias ; Sheikh, Bilal ; Tönjes, Anke ; Hagemann, Tobias ; Weiner, Juliane ; Donndorf, Lorenz ; Ghosh, Adhideb ; Wolfrum, Christian ; Noé, Falko ; Roth, Lisa ; Krohn, Knut ; Wagner, Leonie ; Mittag, Jens ; Heiker, John T. ; Stumvoll, Michael ; Hoffmann, Anne ; Heiker, John T ; Klöting, Nora

The significance of thyroid hormones (THs) in beige adipocyte thermogenesis remains incompletely understood. We previously reported that THs directly regulate the expression of zinc-finger protein 423 (ZFP423), an anti-thermogenic factor, in adipose tissue. This study investigates the interaction between THs and adrenergic signaling in regulating thermogenic capacity and activation of beige adipocytes formed in response to Zfp423 deletion. We demonstrate that THs are indispensable for uncoupling protein 1 (UCP1)-dependent thermogenesis, leading to increased energy expenditure in mice with adipocyte-specific Zfp423 knockout. Targeted activation of the thyroid receptor isoform TRβ, which plays a central role in the inguinal depot, is sufficient to enhance energy expenditure in hypothyroid Zfp423iAKO mice. Mechanistically, THs and ZFP423 pathways cooperate to regulate early B cell factor 2 (EBF2)-mediated activation of the Ucp1 gene. RNA sequencing (RNA-seq) analysis of human adipose tissue samples supports the relevance of this regulatory network for human adipose tissue plasticity.

01 Aug 2024·Heliyon

Identification and verification of four candidate biomarkers for early diagnosis of osteoarthritis by machine learning

Article

Author: Wang, Xinyu ; Sheng, Yueyang ; Wang, Ying ; Li, Shan ; Li, Manyu ; Qiu, Cheng ; Wu, Chengai ; Cheng, Yuxi ; Zhang, Yanzhuo ; Liu, Tianyi

BackgroundOsteoarthritis (OA) is a common chronic joint disease. This study aimed to investigate possible OA diagnostic biomarkers and to verify their significance in clinical samples.MethodsWe exploited three datasets from the Gene Expression Omnibus (GEO) database, serving as the training set. We first determined differentially expressed genes and screened candidate diagnostic biomarkers by applying three machine learning algorithms (Random Forest, Least Absolute Shrinkage and Selection Operator logistic regression, Support Vector Machine-Recursive Feature Elimination). Another GEO dataset was used as the validation set. The test set consisted of RNA-sequenced peripheral blood samples collected from patients and healthy donors. Blood samples and chondrocytes were collected for quantitative real-time PCR to confirm expression levels. Receiver operating characteristic curves were generated for individual and combined biomarkers.ResultsIn total, 251 DEGs were screened, where B3GALNT1, SCRG1 and ZNF423 were screened by all three algorithms. The area under the curve (AUC) of various biomarkers in our test set did not reach as high as that in public datasets. GRB10 exhibited highest AUC of 0.947 in the training set but 0.691 in our test set, while the favorable combined model comprising B3GALNT1, GRB10, KLF9 and SCRG1 demonstrated an AUC of 0.986 in the training set, 1.000 in the validation set and 0.836 in our test set.ConclusionWe identified a combined model for early diagnosis of OA that includes B3GALNT1, GRB10, KLF9 and SCRG1. This finding offers new avenues for further exploration of mechanisms underlying OA.

01 Jul 2024·Translational Pediatrics

Identification and analysis of inflammation-related biomarkers in tetralogy of Fallot

Article

Author: Zheng, Fengnan ; Wu, Wenzhi ; Meng, Baoying ; Wang, Yuanxiang ; Du, Junzhe ; Wang, Pengcheng ; Liu, Huaipu

BackgroundStudies have revealed that inflammatory response is relevant to the tetralogy of Fallot (TOF). However, there are no studies to systematically explore the role of the inflammation-related genes (IRGs) in TOF. Therefore, based on bioinformatics, we explored the biomarkers related to inflammation in TOF, laying a theoretical foundation for its in-depth study.MethodsTOF-related datasets (GSE36761 and GSE35776) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between TOF and control groups were identified in GSE36761. And DEGs between TOF and control groups were intersected with IRGs to obtain differentially expressed IRGs (DE-IRGs). Afterwards, the least absolute shrinkage and selection operator (LASSO) and random forest (RF) were utilized to identify the biomarkers. Next, immune analysis was carried out. The transcription factor (TF)-mRNA, lncRNA-miRNA-mRNA, and miRNA-single nucleotide polymorphism (SNP)-mRNA networks were created. Finally, the potential drugs targeting the biomarkers were predicted.ResultsThere were 971 DEGs between TOF and control groups, and 29 DE-IRGs were gained through the intersection between DEGs and IRGs. Next, a total of five biomarkers (MARCO, CXCL6, F3, SLC7A2, and SLC7A1) were acquired via two machine learning algorithms. Infiltrating abundance of 18 immune cells was significantly different between TOF and control groups, such as activated B cells, neutrophil, CD56dim natural killer cells, etc. The TF-mRNA network contained 4 mRNAs, 31 TFs, and 33 edges, for instance, ELF1-CXCL6, CBX8-SLC7A2, ZNF423-SLC7A1, ZNF71-F3. The lncRNA-miRNA-mRNA network was created, containing 4 mRNAs, 4 miRNAs, and 228 lncRNAs. Afterwards, nine SNPs locations were identified in the miRNA-SNP-mRNA network. A total of 21 drugs were predicted, such as ornithine, lysine, arginine, etc.ConclusionsOur findings detected five inflammation-related biomarkers (MARCO, CXCL6, F3, SLC7A2, and SLC7A1) for TOF, providing a scientific reference for further studies of TOF.

Analysis

Perform a panoramic analysis of this field.

view full example data

Hiro LS Researcher

The AI Search Engine Built to Accelerate Biopharma Decisions

Search across billion-scale life sciences data to uncover signals, validate evidence, and act with confidence.

Ask any biopharma research question→

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, Patsnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Discover Synapse Data Servers

Synapse data is now integrated into the PatSnap LS Model Context Protocol (MCP) service. Customize your LLM agent now using our MCP server!

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis

ZNF423

Basic Info

Related

Analysis