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  • KD/KO Validated

SGOL1 Polyclonal antibody

SGOL1 Polyclonal Antibody for WB, IF/ICC, ELISA

Host / Isotype

Rabbit / IgG

Reactivity

human, mouse, rat

Applications

WB, IHC, IF/ICC, ELISA

hSgo1, NY BR 85, Serologically defined breast cancer antigen NY-BR-85, SGO, SGO1

Formulation:  PBS, Azide, Glycerol
PBS, Azide, Glycerol
Conjugate:  Unconjugated
Unconjugated
Size/Concentration: 
SKU: 

-/ -

Freight/Packing: -

Quantity

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Tested Applications

Positive WB detected inHeLa cells, PC-3 cells, NIH/3T3 cells, mouse heart tissue, rat heart tissue
Positive IF/ICC detected inHeLa cells

Recommended dilution

ApplicationDilution
Western Blot (WB)WB : 1:500-1:1000
Immunofluorescence (IF)/ICCIF/ICC : 1:200-1:800
It is recommended that this reagent should be titrated in each testing system to obtain optimal results.
Sample-dependent, Check data in validation data gallery.

Product Information

16977-1-AP targets SGOL1 in WB, IHC, IF/ICC, ELISA applications and shows reactivity with human, mouse, rat samples.

Tested Reactivity human, mouse, rat
Cited Reactivityhuman, mouse
Host / Isotype Rabbit / IgG
Class Polyclonal
Type Antibody
Immunogen

CatNo: Ag9700

Product name: Recombinant human SGOL1 protein

Source: e coli.-derived, PET28a

Tag: 6*His

Domain: 1-292 aa of BC017867

Sequence: MAKERCLKKSFQDSLEDIKKRMKEKRNKNLAEIGKRRSFIAAPCQIITNTSTLLKNYQDNNKMLVLALENEKSKVKEAQDIILQLRKECYYLTCQLYALKGKLTSQQTVEPAQNQEICSSGMDPNSDDSSRNLFVKDLPQIPLEETELPGQGESFQIEATPPETQQSPHLSLKDITNVSLYPVVKIRRLSLSPKKNKASPAVALPKRRCTASVNYKEPTLASKLRRGDPFTDLCFLNSPIFKQKKDLRRSKKRALEVSPAKEAIFILYYVREFVSRFPDCRKCKLETHICLR

Predict reactive species
Full Name shugoshin-like 1 (S. pombe)
Calculated Molecular Weight561aa,64 kDa; 292aa,34 kDa
Observed Molecular Weight 64 kDa
GenBank Accession NumberBC017867
Gene Symbol SGOL1
Gene ID (NCBI) 151648
RRIDAB_2188437
Conjugate Unconjugated
FormLiquid
Purification MethodAntigen affinity purification
UNIPROT IDQ5FBB7
Storage Buffer PBS with 0.02% sodium azide and 50% glycerol, pH 7.3.
Storage ConditionsStore at -20°C. Stable for one year after shipment. Aliquoting is unnecessary for -20oC storage. 20ul sizes contain 0.1% BSA.

Background Information

SGOL1 (Shugoshin 1), a centromeric protein, plays an important role in mitosis (PMID: 23102702).

Protocols

Product Specific Protocols
IF protocol for SGOL1 antibody 16977-1-APDownload protocol
WB protocol for SGOL1 antibody 16977-1-APDownload protocol
Standard Protocols
Click here to view our Standard Protocols

Publications

What published studies show

Anti-SGOL1 (catalog no. 16977-1-AP) has 9 total citations published in journals including Molecular Cell, Cell Death & Disease, J Mol Cell Biol, Carcinogenesis, Mol Carcinogenesis, Frontiers in Oncology, Gene, and BMC Medical Genomics. Associated research fields span cancer biology (hepatocellular carcinoma, lung adenocarcinoma, renal cell carcinoma, mesothelioma, colon carcinogenesis), chromosome segregation in mitosis, RNA m6A modification, tumor chemotherapy resistance, and liquid-liquid phase separation.

SpeciesApplicationTitle
humanWB

Mol Cell

The RNA-stability-independent role of the RNA m6A reader YTHDF2 in promoting protein translation to confer tumor chemotherapy resistance

Authors - Tao Liu
humanIF

Cell Death Dis

Genome-wide CRISPR screen identifies BUB1 kinase as a druggable vulnerability in malignant pleural mesothelioma

Authors - Ece Cakiroglu
humanWB,IF

J Mol Cell Biol

Sgo1 interacts with CENP-A to guide accurate chromosome segregation in mitosis

Authors - Fengge Wu
  • KD Validated
mouseWB,IHC

Carcinogenesis

Tumor-promoting/progressing role of additional chromosome instability in hepatic carcinogenesis in Sgo1 (Shugoshin 1) haploinsufficient mice.

Authors - Hiroshi Y Yamada
mouseIHC

Mol Carcinog

Antagonizing pathways leading to differential dynamics in colon carcinogenesis in Shugoshin1 (Sgo1)-haploinsufficient chromosome instability model.

Authors - Chinthalapally V Rao
humanWB

Front Oncol

Identification and validation of a potential key gene SGOL1 for poor prognosis in hepatocellular carcinoma based on a bioinformatics approach

Authors - Xiaobin Fei
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