ANKRD52
- Known as:
- ANKRD52
- Catalog number:
- 001650A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ANKRD52
Related genes to: ANKRD52
- Gene:
- ANKRD52 NIH gene
- Name:
- ankyrin repeat domain 52
- Previous symbol:
- -
- Synonyms:
- FLJ34236, PP6-ARS-C
- Chromosome:
- 12q13.3
- Locus Type:
- gene with protein product
- Date approved:
- 2006-01-17
- Date modifiied:
- 2019-04-16
Related products to: ANKRD52
Related articles to: ANKRD52
- Pneumonia remains a leading cause of global mortality. Conventional diagnostic approaches frequently fail to distinguish microbial colonization from true infection in the lower respiratory tract, complicating clinical decision-making and contributing to antibiotic overuse. Improved diagnostic strategies are urgently needed. In this prospective, single-center study, deep sputum specimens were collected from patients with respiratory colonization (n = 17) and infectious pneumonia (n = 27) admitted to the neurosurgical ICU of Huashan Hospital. Metagenomic next-generation sequencing (mNGS) and metatranscriptomic profiling were performed to characterize both the pulmonary microbiota and the host immune response. These features were subsequently integrated to construct a diagnostic model. Microbial community profiling revealed reduced alpha diversity and enrichment of metabolically active pathogenic taxa in the infection group, consistent with a dysbiotic state permissive to invasion. In contrast, the colonization group demonstrated a more balanced microbial ecosystem. Transcriptomic analyses identified 2232 differentially expressed host genes between the two groups. The colonization group showed marked activation of the Wnt, MAPK, chemokine, and focal adhesion pathways, which are functionally implicated in epithelial barrier maintenance and early immune homeostasis. A multi-omics diagnostic model incorporating seven gene features (ANKRD52, ZC3HAV1L, SERPINE3, CDPF1, ZNF720, TAGLN3, and LRRC15) achieved a discrimination between colonization and infection (AUC = 0.951 in the training cohort; 0.875 in the validation set). By jointly analyzing the pulmonary microbiome and host transcriptome, this study provides insight into host-microbe interactions distinguishing colonization from infection and presents a predictive model with potential clinical relevance. - Source: PubMed
Publication date: 2026/04/03
Fu ZhangfanSun YuhanYao HaijunLiu QihuiZhang QiranHu JinZhou YangJiang NingAi JingwenJin JialinZhang Wenhong - Hepatocellular carcinoma (HCC) remains a significant clinical challenge due to limited diagnostic and therapeutic options. Non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), play key roles in cancer biology. Our previous findings showed that miR-423-5p enhances anti-cancer effects on HCC patients treated with sorafenib by promoting autophagy. Here, we investigated the molecular mechanisms underlying miR-423-5p function through a comprehensive proteomic approach. - Source: PubMed
Publication date: 2025/09/24
Luce AmaliaBocchetti MarcoCossu Alessia MariaTathode Madhura SBoocock David JCoveney ClareRomano Maria PreziosaDe Iesu Maria RobertaSimeone InesMele LuigiVitale GiovanniSperlongano RossellaMisso GabriellaVerderio Elisabetta A MZappavigna SilviaCaraglia Michele - Weight traits serve as key economic indicators for assessing growth performance and commercial quality in the mud crab , yet the genetic basis of these traits remains poorly characterized. Here, we performed whole-genome resequencing on 323 individuals and conducted genome-wide association studies (GWAS) on five weight-related traits: (1) body-related traits, including body weight (BW), trunk weight (TruW), and weight excluding chelae (WEC); (2) appendage-related traits, containing appendage weight (AppW) and cheliped weight (CheW). Significantly associated SNPs were primarily enriched on chromosomes 15, 22, 25, and 36. For body-related traits, we identified 45 shared candidate SNPs and 175 common candidate genes; appendage-related traits revealed 71 shared candidate SNPs, and 229 common genes were identified; and across all five traits, there were 9 shared candidate SNPs and 49 common genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses indicated that shared functional terms/pathways among the five traits were mainly related to metabolism, development, and immunity. Body-related traits exhibited more unique GO terms and KEGG pathways associated with metabolism and immunity, whereas appendage-related traits showed some unique GO terms and KEGG pathways involved in development and morphogenesis. Among the candidate genes, we identified multiple genes associated with growth and development, metabolism, and immune responses. For example, the gene, common to carapace-related traits, is linked to feeding; the gene, which is common to appendage-related traits, is connected to movement, and the gene is pertinent to muscle development. Among the candidate genes shared by all five traits, there are a series of genes concerning growth and development (such as , , , , ) and immune responses (). These findings advance our understanding of the genetic architecture underlying decapod crustacean growth and provide valuable insights for optimizing sustainable breeding strategies in . - Source: PubMed
Publication date: 2025/06/20
Chen LinZhang YaodongJia PeitanZhou SiyiQin QionghuiZhang WeirenHuang KeweiWang XiaopengYe Haihui - Acute myocardial infarction (AMI) is a major contributor to cardiovascular-related mortality, and early diagnosis is crucial for effective treatment and better outcomes. While several biomarkers have been explored for AMI, there remains a need for reliable, non-invasive biomarkers that can accurately differentiate AMI patients from healthy individuals. This study aims to identify potential mRNA biomarkers in peripheral blood that could aid in the diagnosis and monitoring of AMI. We performed transcriptomic analysis of blood samples from 81 individuals, including 16 healthy controls, 58 AMI patients, and 7 post-treated AMI individuals. Through a combination of Sparse Partial Least Squares-Discriminant Analysis (sPLS-DA), random forest (RF), Weighted Gene Co-expression Network Analysis (WGCNA), and LASSO regression, we identified mRNA markers that are significantly correlated with AMI. Specifically, the mRNA expressions of ANKRD52, ART1, NRP2, and PPP1R15A were elevated in AMI patients, whereas BAIAP2L1 and CCNE1 were downregulated. However, while these mRNA biomarkers show potential for distinguishing AMI patients from healthy individuals, further studies are needed to confirm their clinical applicability. - Source: PubMed
Publication date: 2025/03/11
Huang FeiChen ZongningTan BinjieHe RongZhang XiaoyuChen YaliGao JinsongSun Bo - Colorectal cancer (CRC) remains a significant global health concern, demanding a more profound comprehension of its molecular foundations for the development of improved therapeutic strategies. This study aimed to elucidate the role of protein phosphatase 6 (PP6), a member of the type 2A protein phosphatase family, in CRC. Protein phosphatase 6 functions as a heterotrimer with a catalytic subunit (PP6c), regulatory subunits (PP6Rs; PP6R1, PP6R2, and PP6R3), and scaffold subunits (ANKRD28, ANKRD44, and ANKRD52). Elevated PP6c expression has been identified in CRC tissues compared to normal mucosa, aligning with its potential involvement in CRC pathogenesis. PP6c knockdown resulted in decreased colony-forming ability and in vivo proliferation of various CRC cell lines. Transcriptome analysis revealed that PP6c knockdown resulted in altered expression of genes associated with cancer stemness. Notably, the PP6c-PP6R3 complex is a key player in regulating cancer stem cell (CSC) markers. Additionally, increased PP6c expression was observed in CSC-like cells induced by sphere formation, implicating the role of PP6c in CSC maintenance. This study highlights the role of PP6c in CRC and suggests that it is a potential therapeutic target disrupting a pathway critical for CRC progression and stem cell maintenance. - Source: PubMed
Publication date: 2024/07/16
Fujiwara NobuyukiTsunedomi RyouichiKimura YutaNakajima MasaoTomochika ShinobuEnjoji ShuheiOhama TakashiSato KoichiNagano Hiroaki