Ask about this productRelated genes to: LZIC antibody
- Gene:
- LZIC NIH gene
- Name:
- leucine zipper and CTNNBIP1 domain containing
- Previous symbol:
- -
- Synonyms:
- MGC15436
- Chromosome:
- 1p36.22
- Locus Type:
- gene with protein product
- Date approved:
- 2002-03-06
- Date modifiied:
- 2014-11-18
Related products to: LZIC antibody
Related articles to: LZIC antibody
- Investigation of in utero, tissue-specific molecular pathways contributing to prenatal programming of childhood-onset asthma is needed to develop effective, targeted prevention strategies. We aimed to examine the relationship between predicted gene expression in placenta and childhood-onset asthma and to compare relationships between childhood- and adult-onset asthma. Asthma genome-wide association study published summary statistics were obtained from the UK Biobank and published placental gene expression quantitative trait loci were obtained from the Rhode Island Child Health Study. We used S-PrediXcan to evaluate and compare associations between placental predicted gene expression and childhood- and adult-onset asthma and to determine whether signals were placenta-specific. Among 8,038 tested placental predicted expression-asthma associations, we identified 56 (0.7%) genes only significantly associated with childhood-onset asthma, 12 (0.1%) genes only significantly associated with adult-onset asthma, and 18 (0.2%) shared genes. Predicted expression of several genes (ACTL9, AMN, C9orf38, C11orf30, CTSE, EFCAB13, EIF4E1B, FN1, GLS2, IL6, IVL, LZIC, MAN2A2, MEGT1, RACGAP1, SMAD6, SPATA5, TMEM25, VTI1B, WDR19) was not significantly associated with childhood- or adult-onset asthma in any non-placental tissue, suggesting that the associations may be placenta-specific. This study identified alterations in predicted expression of placental genes associated with transcriptional pathways critical to the development of asthma. We identified unique and shared pathways, particularly related to immune regulation, associated with childhood- and adult-onset. This expands our understanding of the fetal origins of asthma, highlights the placenta as an informative tissue in understanding asthma pathogenesis, and identifies target genes to prioritize for future functional studies. - Source: PubMed
Publication date: 2026/05/13
Jasper Elizabeth AMcKennan Christopher GThompson Emma ESchoettler NathanGebretsadik TebebHellwege Jacklyn NEdwards Todd LOber CaroleVelez Edwards Digna RHartert Tina VSnyder Brittney M - To identify specific, sensitive, and non-invasive circulating protein biomarkers that could facilitate the diagnosis of brain metastasis (BrM) and improve risk prediction for BrM among patients with non-small cell lung cancer (NSCLC). We performed data-independent acquisition mass spectrometry (DIA-MS)-based proteomic profiling of 14 tissue specimens obtained from 7 patients, together with 89 serum samples from NSCLC and NSCLC-BrM cohorts, to identify candidate biomarkers associated with BrM. A total of 12,808 proteins were identified in the tissue proteome and 6041 proteins in the serum proteome, representing an extensive proteomic analysis of lung cancer with BrM reported to date. Using integrated analyses, we identified a four-protein classifier that served as biomarkers for predicting the risk of NSCLC metastasis to the brain. Notably, PSMA4, LAP3, and LZIC were consistently downregulated in both the sera and tissues of patients with NSCLC-BrM compared with those with NSCLC without BrM. These biomarkers were subsequently validated by ELISA in an additional cohort, demonstrating high concordance with the PRM results. Immunohistochemical analyses further supported the utility of these proteins in distinguishing BrM from primary brain tumors. The integrated analysis of tissue and serum proteomics across the cohorts supports the potential value of proteomics-guided, biomarker-assisted diagnosis and risk prediction in BrM and may help enable more accurate stratification and more targeted treatment strategies. - Source: PubMed
Publication date: 2026/04/13
Zheng YongtaoXiong YuetingMa YuxiaoQiu YijieBu QingfangWang ZhenxiSun QingfangSun YuhaoLiu XiaohuiYuan QuanLi YupingBian LiuguanWang Baofeng - and Treponema species have been found to invade the central nervous system through virulence factors, causing inflammation and influencing the host immune response. interacts with astrocytes, microglia, and neurons, leading to neuroinflammation. and may also play a role in the development of Alzheimer's disease. Interactomic hub genes, central to protein-protein interaction networks, are vulnerable to perturbations, leading to diseases such as cancer, neurodegenerative disorders, and cardiovascular diseases. Machine learning can identify differentially expressed hub genes in specific conditions or diseases, providing insights into disease mechanisms and developing new therapeutic approaches. This study compares the performance of light gradient boosting and logistic regression in identifying interactomic hub genes in and -induced periodontitis with those in Alzheimer's disease. - Source: PubMed
Publication date: 2025/03/04
Yadalam Pradeep KumarChatterjee ShubhanginiNatarajan Prabhu ManickamArdila Carlos M - A comparative study of human colon HCT-116 xenograft in nude mice treated with and without peptide RT2 at high doses is performed along with a label-free proteomic analysis of the tissue in order to understand the potential mechanisms by which RT2 acts in vivo against colorectal tumors. RT2 displays no significant systematic toxicity, but reduces tumor growth after either intraperitoneal or intratumoral injection demonstrating it is a safe and efficacious antitumor agent in vivo. Of the 3196 proteins identified by label-free proteomics, 61 proteins appear only in response to RT2 and are involved in cellular processes largely localized in the cells and cell parts. Some of the proteins identified, including CFTR, Wnt7a, TIA1, PADI2, NRBP2, GADL1, LZIC, TLR6, and GPR37, have been reported to suppress tumor growth and are associated with cell proliferation, invasion, metastasis, angiogenesis, apoptosis, and immune evasion. Our work supports their role as tumor biomarkers and reveals RT2 has a complex mechanism of action in vivo. - Source: PubMed
Publication date: 2022/01/13
Maijaroen SurachaiKlaynongsruang SompongReabroi SomrudeeChairoungdua ArthitRoytrakul SittirukDaduang JureerutTaemaitree LapatradaJangpromma Nisachon - Hepatocellular carcinoma (HCC) is one of the leading causes of tumor‑related mortalities worldwide. Long noncoding RNAs have been reported to be associated with tumor initiation, progression and prognosis. The present study aimed to explore the association between long noncoding RNA LINC00668 and its co‑expression correlated protein‑coding genes (PCGs) in HCC. Data of 370 HCC patients from The Cancer Genome Atlas database were used for analysis. LINC00668 and its top 10 PCGs were selected to determine their diagnostic and prognostic value. Molecular mechanisms were explored to identify metabolic processes that LINC00668 and its PCGs are involved in. Prognosis‑related clinical factors and PCGs were used to construct a nomogram for predicting prognosis in HCC. A Connectivity Map was constructed to identify candidate target drugs for HCC. The top 10 PCGs identified were: Pyrimidineregic receptor P2Y4 (P2RY4), signal peptidase complex subunit 2 (SPCS2), family with sequence similarity 86 member C1 (FAM86C1), tudor domain containing 5 (TDRD5), ferritin light chain (FTL), stratifin (SFN), nucleolar complex associated 2 homolog (NOC2L), peroxiredoxin 1 (PRDX1), cancer/testis antigen 2 CTAG2 and leucine zipper and CTNNBIP1 domain containing (LZIC). FAM86C1, CTAG2 and SFN had significant diagnostic value for HCC (total area under the curve ≥0.7, P≤0.05); LINC00668, FAM86C1, TDRD5, FTL and SFN were of significant prognostic value for HCC (all P≤0.05). Investigation into the molecular mechanism indicated that LINC00668 affects cell division, cell cycle, mitotic nuclear division, and drug metabolism cytochrome P450 (all P≤0.05). The Connectivity Map identified seven candidate target drugs for the treatment of HCC, which were: Indolylheptylamine, mimosine, disopyramide, lidocaine, NU‑1025, bumetanide, and DQNLAOWBTJPFKL‑PKZXCIMASA‑N (all P≤0.05). Our findings indicated that LINC00668 may function as an oncogene and its overexpression indicates poor prognosis of HCC. FAM86C1, CTAG2 and SFN are of diagnostic significance, while FAM86C1, TDRD5, FTL and SFN are of prognostic significance for HCC. - Source: PubMed
Publication date: 2019/08/14
Wang XiangkunZhou XinLiu JunqiLiu ZhengqianZhang LinboGong YizhenHuang JianluYu LongWang QiaoqiYang ChengkunLiao XiwenYu TingdongHan ChuangyeZhu GuangzhiYe XinpingPeng Tao