Tested Applications
| Positive WB detected in | HeLa cells, HEK-293 cells, mouse brain tissue |
| Positive IF/ICC detected in | HeLa cells, HEK-293 cells |
Recommended dilution
| Application | Dilution |
|---|---|
| Western Blot (WB) | WB : 1:500-1:1000 |
| Immunofluorescence (IF)/ICC | IF/ICC : 1:20-1:200 |
| 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
22123-1-AP targets SLAIN1 in WB, IF/ICC, ELISA applications and shows reactivity with human, mouse samples.
| Tested Reactivity | human, mouse |
| Cited Reactivity | human, mouse |
| Host / Isotype | Rabbit / IgG |
| Class | Polyclonal |
| Type | Antibody |
| Immunogen |
CatNo: Ag4973 Product name: Recombinant human SLAIN1 protein Source: e coli.-derived, PET28a Tag: 6*His Domain: 60-364 aa of BC045177 Sequence: MGYKLQDLTDVQIMARLQEESLRQDYASTSASVSRHSSSVSLSSGKKGTCSDQEYDQYSLEDEEEFDHLPPPQPRLPRCSPFQRGIPHSQTFSSIRECRRSPSSQYFPSNNYQQQQYYSPQAQTPDQQPNRTNGDKLRRSMPNLARMPSTTAISSNISSPVTVRNSQSFDSSLHGAGNGISRIQSCIPSPGQLQHRVHSVGHFPVSIRQPLKATAYVSPTVQGSSNMPLSNGLQLYSNTGIPTPNKAAASGIMGRSALPRPSLAINGSNLPRSKIAQPVRSFLQPPKPLSSLSTLRDGNWRDGCY Predict reactive species |
| Full Name | SLAIN motif family, member 1 |
| Calculated Molecular Weight | 61 kDa |
| Observed Molecular Weight | 65-70 kDa, 34-40 kDa |
| GenBank Accession Number | BC045177 |
| Gene Symbol | SLAIN1 |
| Gene ID (NCBI) | 122060 |
| RRID | AB_2878999 |
| Conjugate | Unconjugated |
| Form | Liquid |
| Purification Method | Antigen affinity purification |
| UNIPROT ID | Q8ND83 |
| Storage Buffer | PBS with 0.02% sodium azide and 50% glycerol, pH 7.3. |
| Storage Conditions | Store at -20°C. Stable for one year after shipment. Aliquoting is unnecessary for -20oC storage. 20ul sizes contain 0.1% BSA. |
Publications
What published studies show
The SLAIN1 Polyclonal antibody (Cat# 22123-1-AP) has 1 citation. It was used in a study published in Scientific Reports (2023) for Western blot analysis in human and mouse samples. The research focused on identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis, placing it in the fields of pulmonary disease and bioinformatics.
| Species | Application | Title |
|---|---|---|
Sci Rep Identifying potential biomarkers of idiopathic pulmonary fibrosis through machine learning analysis |









