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  • KD/KO Validated

PRELP Polyclonal antibody

PRELP Polyclonal Antibody for WB, IHC, IF/ICC, ELISA

Host / Isotype

Rabbit / IgG

Reactivity

human

Applications

WB, IHC, IF/ICC, CoIP, ELISA

SLRR2A, Proline-arginine-rich end leucine-rich repeat protein, Prolargin, MSTP161, MST161

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 inL02 cells, SMMC-7721 cells
Positive IHC detected inhuman stomach cancer tissue
Note: suggested antigen retrieval with TE buffer pH 9.0; (*) Alternatively, antigen retrieval may be performed with citrate buffer pH 6.0
Positive IF/ICC detected inU2OS cells

Recommended dilution

ApplicationDilution
Western Blot (WB)WB : 1:500-1:2000
Immunohistochemistry (IHC)IHC : 1:50-1:500
Immunofluorescence (IF)/ICCIF/ICC : 1:50-1:500
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

23783-1-AP targets PRELP in WB, IHC, IF/ICC, CoIP, ELISA applications and shows reactivity with human samples.

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

CatNo: Ag20656

Product name: Recombinant human PRELP protein

Source: e coli.-derived, PET30a

Tag: 6*His

Domain: 20-361 aa of BC032498

Sequence: GQPTRRPRPGTGPGRRPRPRPRPTPSFPQPDEPAEPTDLPPPLPPGPPSIFPDCPRECYCPPDFPSALYCDSRNLRKVPVIPPRIHYLYLQNNFITELPVESFQNATGLRWINLDNNRIRKIDQRVLEKLPGLVFLYMEKNQLEEVPSALPRNLEQLRLSQNHISRIPPGVFSKLENLLLLDLQHNRLSDGVFKPDTFHGLKNLMQLNLAHNILRKMPPRVPTAIHQLYLDSNKIETIPNGYFKSFPNLAFIRLNYNKLTDRGLPKNSFNISNLLVLHLSHNRISSVPAINNRLEHLYLNNNSIEKINGTQICPNDLVAFHDFSSDLENVPHLRYLRLDGNY

Predict reactive species
Full Name proline/arginine-rich end leucine-rich repeat protein
Calculated Molecular Weight 44 kDa
Observed Molecular Weight 44 kDa
GenBank Accession NumberBC032498
Gene Symbol PRELP
Gene ID (NCBI) 5549
RRIDAB_3085714
Conjugate Unconjugated
FormLiquid
Purification MethodAntigen affinity purification
UNIPROT IDP51888
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

PRELP (proline/arginine-rich end leucine-rich repeat protein), also known as MST161, MSTP161, prolargin, or SLRR2A, belongs to the class II subfamily of the small leucine-rich proteoglycan (SLRP) family. PRELP is a small leucine-rich proteoglycan (SLRP), which binds collagen to basement membranes or cartilage as a matrix protein. PRELP has prognostic value and regulates cell proliferation and migration in hepatocellular carcinoma, may serve as a potential prognostic marker and a treatment target against HCC progression (PMID: 33033521).

Protocols

Product Specific Protocols
IF protocol for PRELP antibody 23783-1-APDownload protocol
IHC protocol for PRELP antibody 23783-1-APDownload protocol
WB protocol for PRELP antibody 23783-1-APDownload protocol
Standard Protocols
Click here to view our Standard Protocols

Publications

What published studies show

The PRELP Polyclonal antibody (Cat# 23783-1-AP) has 3 total citations published in Apoptosis, Frontiers in Medicine, and BMC Pharmacology and Toxicology. The cited studies span colorectal cancer (EMT/angiogenesis), lung adenocarcinoma (radiotherapy resistance), and bladder cancer (network toxicology), all in human samples using WB, IF, IHC, or CoIP applications.

SpeciesApplicationTitle
humanWB,IF,CoIP

Apoptosis

PRELP inhibits colorectal cancer progression by suppressing epithelial-mesenchymal transition and angiogenesis via the inactivation of the FGF1/PI3K/AKT pathway

Authors - Xiaoqing Li
  • KD Validated
humanWB,IHC

Front Med (Lausanne)

Investigating the role of disulfidptosis related genes in radiotherapy resistance of lung adenocarcinoma

Authors - Xiaoxia Pan
humanWB

BMC Pharmacol Toxicol

Imidacloprid contributes to bladder cancer progression: preliminary evidence based on network toxicology, machine learning and molecular docking.

Authors - Jie Ming
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