C7orf46
- Known as:
- C7orf46
- Catalog number:
- 003266A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- C7orf46
Related genes to: C7orf46
- Gene:
- FAM221A NIH gene
- Name:
- family with sequence similarity 221 member A
- Previous symbol:
- C7orf46
- Synonyms:
- FLJ45875, MGC72075, DKFZp686F0810
- Chromosome:
- 7p15.3
- Locus Type:
- gene with protein product
- Date approved:
- 2006-08-25
- Date modifiied:
- 2016-09-30
Related products to: C7orf46
Related articles to: C7orf46
- BackgroundDifferential expression of long non-coding RNAs (lncRNAs) in brain, serum, and blood show strong potential to distinguish Alzheimer's disease (AD) from healthy controls.ObjectiveTo explore whether lncRNA signatures delineate AD pathology and map to distinct, multidimensional cognitive domains, enhancing specificity in assessing AD severity and progression.MethodsWe profiled 29,603 lncRNAs transcripts in blood samples from 15 AD patients and 15 healthy controls, alongside comprehensive neuropsychological assessments. Generalized Linear Models and Predictive Power Score analyses, with statistical prioritization, identified lncRNAs associated to AD neuropsychological architecture.ResultsSeveral lncRNAs share strongly associated with cognitive performance and AD severity, mapping to genes involved in key AD-related molecular processes, including synaptic and neurotransmitter regulation (e.g., , , ), protein homeostasis and Aβ pathology (e.g., , , ), mitochondrial function and cellular stress (e.g., , ), neuroinflammation and immune regulation (e.g., , , ), epigenetic and transcriptional control (e.g., , , ), neuronal excitability (e.g., ), and neuroprotection and synaptic plasticity (e.g., ). Novel associations included ferroptosis, DNA stability, microtubule dynamics, and dendritic orientation (e.g., , , , , , , ).ConclusionsWe identify candidate lncRNA signatures that may serve as potential biomarkers and enhance our understanding of the molecular basis of the cognitive architecture in AD, opening new avenues for biomarker identification and targeted therapeutic strategies development. Validation in larger, diverse cohorts is essential to confirm their mechanistic contributions to AD. - Source: PubMed
Publication date: 2026/07/29
Mosquera-Heredia María IVidal Oscar MBarceló ErnestoMorales Luis CSilvera-Redondo CarlosBolívar Daniel AAllegri RicardoArcos-Burgos MauricioGaravito-Galofre PilarVélez Jorge I - Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with limited targeted treatment options and poor clinical outcomes. We developed an AI-driven multi-omics pipeline that links prognostic modeling to multitarget drug repurposing for ESCC. Summary-data-based Mendelian randomization was integrated with bulk transcriptomic datasets to identify esophageal cancer-related druggable genes that are differentially expressed. Cox regression and non-negative matrix factorization were then used to define prognostic genes and molecular subgroups, and a Lasso Cox model with SHapley Additive explanation provided an interpretable prognostic signature. Single-cell RNA sequencing analysis mapped the hub genes interleukin 22 receptor subunit alpha 1 (IL22RA1) and family with sequence similarity 221 member A (FAM221A) to epithelial cell populations and associated them with proliferative and DNA repair programs, supporting their role in tumor progression, supporting their role in ESCC progression. To translate these targets into a therapeutic strategy, we applied machine learning-based drug sensitivity prediction, ADMET-AI toxicity, pharmacokinetic profiling, and molecular docking, which converged on the checkpoint kinase inhibitor AZD7762 (3-(carbamoylamino)-5-(3-fluorophenyl)-N-[(3S)-piperidin-3-yl] thiophene-2-carboxamide) as a promising multitarget inhibitor of IL22RA1 and FAM221A. In vitro assays confirmed that IL22RA1 and FAM221A promote ESCC cell proliferation, migration, and invasion. Taken together, this AI-driven multi-omics framework delivers a prognostic model, defines biologically distinct ESCC subgroups, and nominates AZD7762 as a rational multitarget drug repurposing candidate, providing a precision oncology strategy. - Source: PubMed
Publication date: 2026/05/26
Zhuang ZhanYu ShaobinPeng KaimingZhang PeipeiYu JingchuanLin JihongKang Mingqiang - Fetal development is a critical period that establishes reproductive efficiency and herd performance depending on in-utero epigenetic modifications. Dietary restrictions may affect fetal testis development and the offspring fertility. Several studies have connected genetic instability to circadian cycle disruptions, including epigenetic modifications to melatonin, a key regulator. On day 160 of gestation, 17 male-bearing Brangus heifers were assigned to one of four groups in a 2 × 2 factorial treatment arrangement: adequately fed (ADQ; 100% NRC recommendation, n = 3), nutrient restricted (RES; 60% NRC recommendation, n = 5), or ADQ or RES supplemented with 20 mg/d melatonin (ADQ-MEL, n = 5; RES-MEL, n = 4). On day 240 of gestation, heifers underwent Cesarean sections to collect fetuses and testicular tissues. The fetal testicular tissue was processed and analyzed using the Methyl-MiniSeq Service: Genome-wide bisulfite sequencing (Methyl MiniSeq-GWBS). Sequence reads from Methyl Mini-Seq libraries were identified using standard Illumina platform calling software for methylome profile. RNA-Seq libraries were then sequenced on the Illumina platform for transcriptome profile. The common genes between differentially methylated regions (DMRs) and differentially expressed genes (DEGs) across different treatment groups were identified by an overlap analysis using bedtools v2.31.1. There were 413 DMRs in RES-CON and ADQ-CON testicular tissues, without differential gene expression. Compared with the ADQ-CON group, the ADQ-MEL group showed 411 DMRs and a higher KYAT1 gene expression (P-adj <0.05) without methylation changes. Comparing RES-MEL with RES-CON showed that 9 genes (DAAM1, COL28A1, RPL10, TRPM3, SLIT, ARHGEF40, SYT1, TMEM35B, CSPG4B) were expressed more in the former (P-adj <0.05). The only hypomethylated gene was DAAM1 located on chromosome 10. However, 13 genes (PTPRU, snRNP-E, TMEM59L, MUC5B, ANAPC15, FAM221A, SHCBPiL, PAQR5, PPP4R3C, DTNB, LncRNA, SHANK2, RIC3) showed increased expression in RES-CON vs. RES-MEL without differential methylation alterations, yet there were 370 DMRs. Five genes showed increased expression in RES-MEL compared with ADQ-MEL (P-adj <0.05), including histone H2B on chromosome 23. Two genes (PTPRU, TDRD10) showed increased expression in ADQ-MEL compared with RES-MEL (P-adj <0.05) without affecting methylation and 344 DMRs. In conclusion, dietary melatonin supplementation to nutrient restricted dams may influence fetal development as epigenomic and transcriptomic regulators are altered. - Source: PubMed
El Daous HalaLittlejohn Brittni PContreras-Correa Zully ERajput ShiveeliSidelinger Darcie RKing E HeathArick Mark ALemley Caleb O - Prevention of human hypertension is an important challenge and has been achieved in experimental models. Brief treatment with renin-angiotensin system (RAS) inhibitors permanently reduces the genetic hypertension of the spontaneously hypertensive rat (SHR). The kidney is involved in this fascinating phenomenon, but relevant changes in gene expression are unknown. - Source: PubMed
Byars Sean GPrestes Priscilla RSuphapimol VarapornTakeuchi FumihikoDe Vries NathanMaier Michelle CMelo MarianaBalding DavidSamani NileshAllen Andrew MKato NorihiroWilkinson-Berka Jennifer LCharchar FadiHarrap Stephen B - Esophageal cancer (EC) involves many genomic, epigenetic and transcriptomic disorders, which play key roles in the heterogeneous progression of cancer. However, the study of EC with multi-omics has not been conducted. This study identified a high consistency between DNA copy number variations and abnormal methylations in EC by analyzing genomics, epigenetics and transcriptomics data and investigating mutual correlations of DNA copy number variation, methylation and gene expressions, and stratified copy number variation genes (CNV-Gs) and methylation genes (MET-Gs). The methylation, CNVs and expression profiles of CNV-Gs and MET-Gs were analyzed by consistent clustering using iCluster integration, here, we determined three subtypes (iC1, iC2, iC3) with different molecular traits, prognostic characteristics and tumor immune microenvironment features. We also identified 4 prognostic genes (CLDN3, FAM221A, GDF15 and YBX2) differentially expressed in the three subtypes, and could therefore be used as representative biomarkers for the three subtypes of EC. In conclusion, by performing comprehensive analysis on genomic, epigenetic and transcriptomic regulations, the current study provided new insights into the multilayer molecular and pathological traits of EC, and contributed to the precision medication for EC patients. - Source: PubMed
Publication date: 2021/02/26
Ma MingyangChen YangChong XiaoyiJiang FangliGao JingShen LinZhang Cheng