Antibody data
- Antibody Data
- Antigen structure
- References [5]
- Comments [0]
- Validations [0]
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- Product number
- 28372-1-AP - Provider product page
- Provider
- Proteintech Group
- Product name
- KIF2C antibody
- Antibody type
- Polyclonal
- Description
- KIF2C antibody (Cat. #28372-1-AP) is a rabbit polyclonal antibody that shows reactivity with Human, Mouse , Rat and has been validated for the following applications: IHC, WB,ELISA.
- Reactivity
- Human, Mouse, Rat
- Host
- Rabbit
- Conjugate
- Unconjugated
- Isotype
- IgG
- Vial size
- 20ul, 150ul
Submitted references Bioinformatical analysis of the key differentially expressed genes for screening potential biomarkers in Wilms tumor.
Development and validation of a vesicle-mediated transport-associated gene signature for predicting prognosis and immune therapy response in hepatocellular carcinoma.
KIF2C is a Biomarker Correlated With Prognosis and Immunosuppressive Microenvironment in Human Tumors.
Multi-omics analysis of kinesin family member 2C in human tumors: novel prognostic biomarker and tumor microenvironment regulator.
Identification of biomarkers for the transition from low-grade glioma to secondary glioblastoma by an integrated bioinformatic analysis.
Cai L, Shi B, Zhu K, Zhong X, Lai D, Wang J, Tou J
Scientific reports 2023 Sep 16;13(1):15404
Scientific reports 2023 Sep 16;13(1):15404
Development and validation of a vesicle-mediated transport-associated gene signature for predicting prognosis and immune therapy response in hepatocellular carcinoma.
Liu ZY, Li YH, Li BW, Xin L
Journal of cancer research and clinical oncology 2023 Nov;149(14):13211-13230
Journal of cancer research and clinical oncology 2023 Nov;149(14):13211-13230
KIF2C is a Biomarker Correlated With Prognosis and Immunosuppressive Microenvironment in Human Tumors.
Zhang X, Li Y, Hu P, Xu L, Qiu H
Frontiers in genetics 2022;13:891408
Frontiers in genetics 2022;13:891408
Multi-omics analysis of kinesin family member 2C in human tumors: novel prognostic biomarker and tumor microenvironment regulator.
Zhang B, Liu P, Li Y, Hu Q, Li H, Pang X, Wu H
American journal of cancer research 2022;12(11):4954-4976
American journal of cancer research 2022;12(11):4954-4976
Identification of biomarkers for the transition from low-grade glioma to secondary glioblastoma by an integrated bioinformatic analysis.
Zhao L, Zhang J, Liu Z, Zhao P
American journal of translational research 2020;12(4):1222-1238
American journal of translational research 2020;12(4):1222-1238
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