Antibody data
- Antibody Data
- Antigen structure
- References [4]
- Comments [0]
- Validations [0]
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- Product number
- 12749-1-AP - Provider product page
- Provider
- Proteintech Group
- Product name
- ADAMTS1 antibody
- Antibody type
- Polyclonal
- Description
- ADAMTS1 antibody (Cat. #12749-1-AP) is a rabbit polyclonal antibody that shows reactivity with human, mouse, rat and has been validated for the following applications: IF, IHC,ELISA.
- Reactivity
- Human, Mouse, Rat
- Host
- Rabbit
- Conjugate
- Unconjugated
- Isotype
- IgG
- Vial size
- 20ul, 150ul
Submitted references Dynamics of N6-methyladenosine modification during aging and their potential roles in the degeneration of intervertebral disc.
Induction of A Disintegrin and Metalloproteinase with Thrombospondin motifs 1 by a rare variant or cognitive activities reduces hippocampal amyloid-β and consequent Alzheimer's disease risk.
Identification of polyunsaturated fatty acids related key modules and genes in metabolic dysfunction-associated fatty liver disease using WGCNA analysis.
Identification of novel prognostic and predictive biomarkers in salivary duct carcinoma via comprehensive molecular profiling.
Liu L, Sun H, Zhang Y, Liu C, Zhuang Y, Liu M, Ai X, Long D, Huang B, Li C, Zhou Y, Dong S, Feng C
JOR spine 2024 Mar;7(1):e1316
JOR spine 2024 Mar;7(1):e1316
Induction of A Disintegrin and Metalloproteinase with Thrombospondin motifs 1 by a rare variant or cognitive activities reduces hippocampal amyloid-β and consequent Alzheimer's disease risk.
Qiu Y, Sha L, Zhang X, Li G, Zhu W, Xu Q
Frontiers in aging neuroscience 2022;14:896522
Frontiers in aging neuroscience 2022;14:896522
Identification of polyunsaturated fatty acids related key modules and genes in metabolic dysfunction-associated fatty liver disease using WGCNA analysis.
Xiao C, Chen S, Yang C, Liu J, Yu M
Frontiers in genetics 2022;13:951224
Frontiers in genetics 2022;13:951224
Identification of novel prognostic and predictive biomarkers in salivary duct carcinoma via comprehensive molecular profiling.
Kohsaka S, Tada Y, Ando M, Nakaguro M, Shirai Y, Ueno T, Kojima S, Hirai H, Saigusa N, Kano S, Tsukahara K, Togashi T, Ozawa H, Kondo T, Okami K, Takahashi H, Kawakita D, Fushimi C, Suzuki T, Shimizu A, Okamoto I, Okada T, Sato Y, Imanishi Y, Watanabe Y, Sakai A, Ebisumoto K, Sato Y, Urano M, Honma Y, Yamazaki K, Ueki Y, Hanazawa T, Saito Y, Shimura T, Nagao T, Mano H
NPJ precision oncology 2022 Nov 4;6(1):82
NPJ precision oncology 2022 Nov 4;6(1):82
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