FXYD7 Over-expression Lysate Product
- Known as:
- FXYD7 Over-expression Lysate Product
- Catalog number:
- GWB-8C53D9
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- GenWay
- Gene target:
- FXYD7 Over-expression Lysate Product
Related genes to: FXYD7 Over-expression Lysate Product
- Gene:
- FXYD7 NIH gene
- Name:
- FXYD domain containing ion transport regulator 7
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 19q13.12
- Locus Type:
- gene with protein product
- Date approved:
- 2000-05-23
- Date modifiied:
- 2015-07-22
Related products to: FXYD7 Over-expression Lysate Product
(META) Human Metapneumovirus Type 16 (A1) Lysate(META) Human Metapneumovirus Type 18 (B2) Lysate(META) Human Metapneumovirus Type 20 (A2) Lysate(META) Human Metapneumovirus Type 27 (A2) Lysate(META) Human Metapneumovirus Type 3 (B1) Lysate(META) Human Metapneumovirus Type 4 (B2) Lysate(META) Human Metapneumovirus Type 5 (B1) Lysate(META) Human Metapneumovirus Type 8 (B2) Lysate(META) Human Metapneumovirus Type 9 (A1) Lysate0 day neonate eyeball cDNA. RIKEN full-length enriched library. clone E130107M17 product hypothetical protein. full insert seque - N_A Polyclonal0 day neonate head cDNA. RIKEN full-length enriched library. clone 4831434J02 product nuclear factor of activated T-cells. cytop - N_A Polyclonal0 day neonate head cDNA. RIKEN full-length enriched library. clone 4832421E02 product myocyte enhancer factor 2C. full insert se - N_A Polyclonal1,2,3,4-Tetrahydro-1,2-dimethyl-4,6-isoquinolinediol
(Major Product) CAS: 102830-16-0 Formula: C11H15NO21,2,3,4-tetrahydro-1,2-dimethyl-4,8-isoquinolinediol
(Minor Product) CAS: 102830-20-6 Formula: C11H15NO210 days embryo whole body cDNA. RIKEN full-length enriched library. clone 2610510L15 product poly(A)-specific ribonuclease (dead - N_A Polyclonal Related articles to: FXYD7 Over-expression Lysate Product
- The FXYD family of ion transport regulators have emerged as important modulators of cancer progression and metastasis. However, their expression and roles in ovarian cancer (OCa) have not been systematically investigated. - Source: PubMed
Publication date: 2023/10/09
Zhao EryongGao KefeiXiong JianLiu ZhihongChen YuelinYi Lisha - Mechanical allodynia (MA) is the main reason that patients with diabetic peripheral neuropathy (DPN) seek medical advice. It severely debilitates the quality of life. Investigating hyperglycemia-induced changes in neural transcription could provide fundamental insights into the complex pathogenesis of painful DPN (PDPN). Gene expression profiles of physiological dorsal root ganglia (DRG) have been studied. However, the transcriptomic changes in DRG neurons in PDPN remain largely unexplored. In this study, by single-cell RNA sequencing on dissociated rat DRG, we identified five physiological neuron types and a novel neuron type MAAC ( ) in PDPN. The novel neuron type originated from peptidergic neuron cluster and was characterized by highly expressing genes related to neurofilament and cytoskeleton. Based on the inferred gene regulatory networks, we found that activated transcription factors and in MAAC could enhance expression. Moreover, we constructed the cellular communication network of MAAC and revealed its receptor-ligand pairs for transmitting signals with other cells. Our molecular investigation at single-cell resolution advances the understanding of the dynamic peripheral neuron changes and underlying molecular mechanisms during the development of PDPN. - Source: PubMed
Publication date: 2022/05/20
Zhou HanYang XiaoshengLiao ChenlongChen HongjinWu YiweiXie BinranMa FukaiZhang WenChuan - This study is aimed at exploring the relationships between miRNAs and mRNAs and to characterize their biological functions in temporal lobe epilepsy (TLE). - Source: PubMed
Publication date: 2021/10/22
Li XingHan YunliLi DejunYuan HaiHuang ShiqinChen XiaolanQin Yuanhan - TGFβ signaling plays crucial role during development and cancer, however the role for TGFβ signaling in regulating the noncoding part of the human genome in triple negative breast cancer (TNBC) is still being unraveled. Herein, we provide the transcriptional landscape of TNBC in response to TGFβ activation and subsequent inhibition employing SB431542, selective TGFβ1 Receptor ALK5 Inhibitor. Our data revealed 72 commonly upregulated [fold change (FC) ≥ 2.0], including PLAU, TPM1, TAGLN, COL1A1, TGFBI, and SNAI1, and 53 downregulated (FC ≤ 2.0) protein coding genes in BT-549 and MDA-MB-231 models in response to TGFβ1 activation. Alignment to the geocode (V33) identified 41 upregulated (FC ≥ 2.0) and 22 downregulated (FC ≤ 2.0) long non-coding RNA (lncRNA) in response to TGFβ1 activation, which were inhibited by concurrent treatment with SB431542. To place our data from the in vitro models into their clinical context, we identified AC015909.1, AC013451.1, CYP1B1-AS1, AC004862.1, LINC01824, AL138828.1, B4GALT1-AS1, AL353751.1, AC090826.3, AC104695.4, ADORA2A-AS1, PTPRG-AS1, LINC01943, AC026954.3, TPM1-AS, ZFPM2-AS1, AC007362.1, AC112721.2, MALAT1, AL513314.2, AC112721.1, AC010343.3, LINC01711, and MAP3K2-DT lncRNA expression to positively correlate with TGFβ1 expression in a cohort of 360 TNBC patients. To provide mechanistic insight into lncRNA regulation by TGFβ signaling, SMAD2/3 ChIp-Seq data from BT-549 TNBC model retrieved from Gene Expression Omnibus (GEO) revealed direct binding of SMAD2/SMAD3 to the promoter of AC112721.1, AC112721.2, MALAT1, HHIP-AS1, LINC00472, and SLC7A11, suggesting their direct regulation by TGFβ1/SMAD2/SMAD3 pathway. Interestingly, AC112721.1, AC112721.2 exhibited higher expression in TNBC compared to normal breast tissue suggesting a possible role for those lncRNA in TNBC biology. Our miRNA analysis in the BT-549 model in response to exogenous TGFB1 revealed several affected miRNAs (2.0 ≤ FC ≤ 2.0), whose expression pattern was reversed in the presence of SB431542, suggesting those miRNA as plausible targets for TGFβ regulation. In particular, we observed hsa-miR-1275 to be downregulated in response to TGFB1 which was highly predicted to regulate PCDH1, FIBCD1, FXYD7, GDNF, STC1, EDN1, ZSWIM4, FGF1, PPP1R9B, NUAK1, PALM2AKAP2, IGFL3, and SPOCK1 whose expression were upregulated in response to TGFβ1 stimulus. On the other hand, hsa-miR-181b-5p was among the top upregulated miRNAs in response to TGFB1, which is also predicted to regulate CDKN1B, TNFRSF11B, SIM1, and ARSJ in the BT-549 model. Taken together, our data is the first to provide such in depth analysis of lncRNA and miRNA epigenetic changes in response to TGFβ signaling in TNBC. - Source: PubMed
Publication date: 2021/07/29
Vishnubalaji RadhakrishnanAlajez Nehad M - The FXYD gene family comprises seven members that encode a class of small-membrane proteins characterized by an FXYD motif and interact with Na/K-ATPase. Until now, the expression patterns and prognostic roles of the FXYD family in colon cancer (CC) have not been systematically reported. Gene expression, methylation, clinicopathological features and the prognoses of CC patients were obtained from The Cancer Genome Atlas (TCGA) database. The expression feature and prognostic values of FXYD members were identified. Gene set enrichment analysis (GSEA) was performed to explore the potential mechanism underlying the function of the FXYD family in CC. Tumor Immune Estimation Resource (TIMER) and CIBERSORT analysis were used to assess the correlations between FXYD family members and tumor immune infiltrating cells (TIICs). FXYD family members were differentially expressed in CC except for FXYD2. FXYD2, FXYD3 and FXYD4 were revealed as independent prognostic factors for recurrence, while FXYD3 and FXYD7 were identified as prognostic factors for survival according to univariate and multivariate analyses with Cox regression. GSEA revealed that FXYD family members were involved in complicated biological functions underlying cancer progression. TIMER and CIBERSORT analyses showed significant associations between FXYD family genes and TIICs. The present study comprehensively revealed the expression mode and prognostic value of FXYD members in CC, providing insights for further study of the FXYD family as potential clinical biomarkers in CC. - Source: PubMed
Publication date: 2021/07/15
Jin MingZhang HuiYang JunZheng ZhenLiu Kaitai