PIP3-E Blocking Peptide
- Known as:
- PIP3-E Blocking Peptide
- Catalog number:
- 33r-3982
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- PIP3- Blocking Peptide
Related genes to: PIP3-E Blocking Peptide
- Gene:
- FAM192A NIH gene
- Name:
- family with sequence similarity 192 member A
- Previous symbol:
- C16orf94
- Synonyms:
- NIP30, PIP30
- Chromosome:
- 16q13
- Locus Type:
- gene with protein product
- Date approved:
- 2009-07-30
- Date modifiied:
- 2018-08-08
- Gene:
- IPCEF1 NIH gene
- Name:
- interaction protein for cytohesin exchange factors 1
- Previous symbol:
- -
- Synonyms:
- PIP3-E, KIAA0403
- Chromosome:
- 6q25.2
- Locus Type:
- gene with protein product
- Date approved:
- 2009-02-27
- Date modifiied:
- 2014-11-19
- Gene:
- MTMR12 NIH gene
- Name:
- myotubularin related protein 12
- Previous symbol:
- PIP3AP
- Synonyms:
- 3-PAP, FLJ20476, KIAA1682, 3PAP
- Chromosome:
- 5p13.3
- Locus Type:
- gene with protein product
- Date approved:
- 2003-09-26
- Date modifiied:
- 2016-10-05
- Gene:
- PPIAP13 NIH gene
- Name:
- peptidylprolyl isomerase A pseudogene 13
- Previous symbol:
- PPIP3
- Synonyms:
- -
- Chromosome:
- 10q22.2
- Locus Type:
- pseudogene
- Date approved:
- 1992-07-09
- Date modifiied:
- 2017-08-21
- Gene:
- ZC3H12C NIH gene
- Name:
- zinc finger CCCH-type containing 12C
- Previous symbol:
- -
- Synonyms:
- KIAA1726, MCPIP3
- Chromosome:
- 11q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 2005-06-14
- Date modifiied:
- 2012-07-05
Related products to: PIP3-E Blocking Peptide
Related articles to: PIP3-E Blocking Peptide
- Prenatal maternal stress is a common exposure implicated in childhood allergies. However, evidence for placental DNA methylation as a mediator is limited, with prior studies focusing narrowly on HPA-axis genes. This study aimed to examine the impact of prenatal maternal stress on offspring allergic diseases and placental DNA methylation's mediating role from an epigenome-wide perspective. - Source: PubMed
Shi YuyangZhang YuweiYe PeiqiTuersunniyazi MaiheliyakeziZhang YunhuiShi Huijing - Cancer cell characteristics are determined by gene expression, influenced by genomic, epigenetic, and transcriptional modifications. Genomic rearrangements and transcriptional splicing can result in the formation of fusion genes. BCR-ABL1 is an established fusion gene employed as a biomarker in leukemia. A single gene can amalgamate with several other genes and may impact cellular fate. Ethnicity-specific variants of fusion genes have been identified, such as the TMPRSS2-ERG variation observed in prostate malignancies among African-American, Caucasian, and Japanese populations in research studies. Next-generation sequencing has provided a new method for predicting genomic and transcriptomic changes. We aim to identify fusion genes in the Indian population using cancer samples to enhance diagnostic outcomes. This study performed a meta-analysis of tumor-specific RNA sequencing data for liver, tongue, and ovarian cancers, which are available online. It identified known fusion genes, including TRO-MAGED2, KRT14-S100A9, RNASE10-CD38, ACTN4-ACTN1, RGPD1-RANBP2, CTSC-RAB38, C15orf57-CBX3, AMBRA1-CKAP5, ATP2B3-ATP2B4, CNKSR3-IPCEF1, E2F4-RPL14, and MZT2A-MZT2B, along with 101 novel fusion genes. Novel fusion genes GABRP_SCGB3A2 and WWOX_FUT1 were identified in all three tumor tissues. GABRP acts as a tumor inducer, whereas SCGB3A2 functions as a tumor suppressor. WWOX2 serves as a tumor suppressor, whereas FUT1 functions as a promoter of malignancy. The interplay between tumor inducers and suppressors may serve as a survival mechanism for cancer cells, a subject that has received limited research attention. - Source: PubMed
Publication date: 2026/02/09
Yadav RahulKhan HafsaSingh PoonamKumar PramodKumar Singhal Dinesh - Idiopathic pulmonary arterial hypertension (IPAH) is a subtype of pulmonary arterial hypertension and impacts both children and adults. IPAH has overall poor survival, highlighting the importance of understanding pathogenesis. We aimed to identify differentially expressed genes in the lungs of patients with IPAH to shed light on its complex genetic background. - Source: PubMed
Publication date: 2025/12/04
Huang Andy PVoskamp SarahEbadi Ameneh ALiedel Jennifer LNelson Jennifer SKuruvilla Joseph - Despite the generally favorable prognosis of PTC (Papillary Thyroid Carcinoma), it can still exhibit aggressive behavior and lead to patient mortality. (interaction protein for cytohesin exchange factors 1) has emerged as a critical player in cell signaling related to proliferation and migration in cancer progression. Our research aimed to determine whether is a key gene in PTC, elucidate its possible molecular mechanisms and ultimately search for new targets. This research utilized four gene expression array datasets and TCGA database to examine the role of in PTC. Differential gene expression analysis, survival analysis, KEGG and GO enrichment and immune cell infiltration correlations were realized by bioinformatic methods. The expressions of in PTC tissues were examined by IHC and the proliferation, migration, cell cycles of PTC cells were examined by CCK8, transwell and flow cytometry. had lower expression in PTC tumor tissues and its lower expression might lead to worse T/N stage and DFS/ PFS, which is perhaps related to its regulation of the JAK/STAT signaling pathway and immune microenvironment (macrophage and Tregs). reduced the proliferation and migration ability of PTC cells, which is consistent with our clinical observations. Besides, we also found that high expression level of lead to cell cycle arrest in the S or G2 phase, which ultimately reduced cell growth and proliferation. is a cancer suppressor gene in the progression of PTC, influencing patient survival and prognosis through modulation of immune infiltration and signaling pathways. - Source: PubMed
Publication date: 2024/10/21
Yin DechaoWang KunZhao JunyuYao JinmingHan XiaofangYan BoDong JianjunLiao Lin - The study of tumor microenvironment plays an important role in the treatment of cancer patients. In this paper, intelligent medical Internet of Things technology was used to analyze cancer tumor microenvironment-related genes. Through experiments designed and analyzed cancer-related genes, this study concluded that in cervical cancer, patients with high expression of P16 gene had a shorter life cycle and a survival rate of 35%. In addition, through investigation and interview, it was found that patients with positive expression of P16 and Twist genes had a higher recurrence rate than patients with negative expression of both genes; high expression of FDFT1, AKR1C1, and ALOX12 in colon cancer is associated with short survival; high expressions of HMGCR and CARS1 is associated with longer survival; overexpression of NDUFA12, FD6, VEZT, GDF3, PDE5A, GALNTL6, OPMR1, and AOAH in thyroid cancer is associated with shortened survival; high expressions of NR2C1, FN1, IPCEF1, and ELMO1 is associated with prolonged survival. Among the genes associated with the prognosis of liver cancer, the genes associated with shorter survival period are AGO2, DCPS, IFIT5, LARP1, NCBP2, NUDT10, and NUDT16; the genes associated with longevity are EIF4E3, EIF4G3, METTL1, NCBP1, NSUN2, NUDT11, NUDT4, and WDR4. Depending on the prognostic role of genes in different cancers, they can influence patients to achieve the effect of reducing patients' symptoms. In the process of disease analysis of cancer patients, this paper uses bioinformation technology and Internet of things technology to promote the development of medical intelligence. - Source: PubMed
Publication date: 2023/02/09
Ren ShouleiCao WenliMa JianzengLi HongchunXia YutaoZhao Jianwen