LSBio
IHC-plus™ NF90 / ILF3 Antibody (aa302-351)

Anti-NF90 / ILF3 antibody IHC staining of human liver. Immunohistochemistry of formalin-fixed, paraffin-embedded tissue after heat-induced antigen retrieval. Antibody dilution 1:50.

IHC-plus™ NF90 / ILF3 Antibody (aa302-351)

Primary AntibodyLSBio Guarantee
Antibody:Rabbit Polyclonal
Applications:Enzyme-Linked Immunosorbent Assay, Immunohistochemistry (general), Immunohistochemistry, Paraffin, Western Blot
Reactivity:Human, Mouse, Rat
Format:Liquid
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$383.00each
Catalog Number: LS-B11424-50

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Overview

Description
ILF3 antibody LS-B11424 is an unconjugated rabbit polyclonal antibody to ILF3 (NF90) (aa302-351) from human. It is reactive with human, mouse and rat. Validated for IHC, Peptide-ELISA and WB. Tested on 20 paraffin-embedded human tissues. Cited in 1 publication.
Application
ELISA, IHC, IHC-P, WB
Reactivity
Hu, Ms, Rt
Intended Use
Research Use Only
Guarantees
This product carries the LSBio 100% Guarantee.
Category
Antibodies > Primary Antibodies > Polyclonal Antibodies
Alternative Names
CBTF | DRBF | DRBP76 | MMP4 | NF-AT-90 | NF90 | NFAR2 | Nuclear factor nf90 | ILF3 | M-phase phosphoprotein 4 | TCP110 | MPHOSPH4 | NF110b | NF90a | NF90b | NFAR-1 | TCP80 | NF110 | NFAR
Recommended Dilution: IHC-P
1:50
Recommended Dilution: WB
1:500 - 1:1000
UniProt Number
Q12906
SwissProt
Q12906

Target

Target
NF90 / ILF3
Antigen Species
Human
Epitope
NF90 antibody detects endogenous levels of NF90.
Gene Name
ILF3

Antibody

Host Species
Rabbit
Clonality
Polyclonal
Origin Species
Human

Immunogen

Immunogen
Synthetic peptide from human NF90. (AA Range: 302-351)
Immunogen Type
Synthetic Peptide (Linear)

Format

Conjugate/Label
Unconjugated
Format
Liquid
Formulation
PBS, pH 7.4, 150 mM NaCl, 0.02% Sodium Azide, 50% Glycerol
Concentration
1 mg/mL
Volume
50 Microliter
Animal Free
No
Carrier-Free
Yes
Preservative
Yes
Purification Method
Affinity Purified

Storage & Handling

Storage Conditions
Store at -20°C.
Recommended Storage Buffer
PBS, 150 mM NaCl
Found In Translation: a machine learning model for mouse-to-human inference. Rachelly Normand, Wenfei Du, Mayan Briller, Renaud Gaujoux, Elina Starosvetsky, Amit Ziv-Kenet, Gali Shalev-Malul, Robert J Tibshirani, Shai S Shen-Orr. Nature methods. 2018 December;15:1067-1073. PubMed: 30478323

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