ERLIN1 antibodies are immunoglobulin-based reagents designed to detect and study Erlin-1, a protein encoded by the ERLIN1 gene. This protein is part of the SPFH (stomatin/prohibitin/flotillin/HflKC) family and forms hetero-oligomeric complexes with ERLIN2 to regulate cholesterol homeostasis and ER-associated degradation (ERAD) of proteins like inositol trisphosphate receptors (IP3Rs) . Antibodies against ERLIN1 enable researchers to investigate its expression, localization, and functional interactions in diseases such as metabolic disorders and neurodegeneration.
ERLIN1 antibodies have been instrumental in advancing understanding of ER biology:
Cholesterol Homeostasis: ERLIN1/2 complexes retain the SCAP-SREBP2-INSIG complex in the ER under cholesterol-rich conditions, preventing SREBP2 activation. Antibody-based studies show that ERLIN1 knockdown triggers SREBP2 processing, upregulating cholesterol synthesis genes .
Protein Quality Control: Proteintech’s antibody (17311-1-AP) identified ERLIN1’s role in the RNF185/Membralin ubiquitin ligase complex, which degrades misfolded ER membrane proteins .
Disease Associations:
Structural Role: ERLIN1 antibodies confirm its assembly into 24-subunit ring structures, typical of SPFH proteins, which scaffold lipids and proteins in ER lipid rafts .
ERAD Mechanism: Immunoprecipitation (IP) experiments using these antibodies demonstrated ERLIN1’s interaction with IP3Rs, promoting their ubiquitination and degradation during ER stress .
Western blotting represents the most validated application for ERLIN1 antibody detection, with robust performance at dilutions ranging from 1:1000-1:6000. For optimal results, researchers should use ER membrane-enriched fractions rather than whole cell lysates, as ERLIN1 antibodies can cross-react with several unrelated proteins in total cell lysates. This issue can be ameliorated by analyzing membrane preparations, which significantly improves specificity. For immunohistochemistry applications, a dilution range of 1:50-1:500 is recommended with suggested antigen retrieval using TE buffer at pH 9.0 or alternatively citrate buffer at pH 6.0 .
Distinguishing between ERLIN1 and ERLIN2 requires careful antibody selection as these proteins share significant homology. ERLIN1 has an observed molecular weight of 39-41 kDa, while ERLIN2 runs at approximately 43 kDa on SDS-PAGE. When using pan-ERLIN antibodies (which recognize conserved regions of both proteins), researchers should note that ERLIN2 is typically more abundant than ERLIN1 in most cell types with an approximate ratio of 2:1 (ERLIN2:ERLIN1). For definitive identification, use antibodies raised against non-conserved regions or consider immunoprecipitation with specific antibodies followed by mass spectrometry analysis .
When validating a new ERLIN1 antibody, include the following controls:
Positive control tissues/cells: HL-60 cells, COLO 320 cells, human kidney tissue, human ovary cancer tissue, rat pancreas tissue, human brain tissue, mouse liver tissue, U-251 cells, or U-397 cells have all shown reliable ERLIN1 expression
Negative controls: ERLIN1 knockout (E1KO) cells provide the most stringent negative control
Peptide blocking: Pre-incubation with the immunogen peptide should abolish specific signals
Molecular weight verification: ERLIN1 should appear at approximately 39-41 kDa
Cross-reactivity assessment: Test across multiple species if cross-species reactivity is claimed
Mutations in ERLIN1, particularly those associated with hereditary spastic paraplegia, can significantly alter antibody binding and experimental outcomes. The T65I mutation in ERLIN2 (analogous to mutations found in ERLIN1) has been shown to disrupt the formation of functional ERLIN1/2 complexes, preventing the binding of RNF170 and IP3R1 ubiquitination. When working with patient-derived samples or mutant constructs, researchers should employ multiple antibodies targeting different epitopes and combine immunological techniques with functional assays. Western blotting alone may not reveal functional deficits in mutant ERLIN1 proteins that maintain structural integrity but lose interaction capabilities .
When investigating ERLIN1 in lipid raft dynamics and cholesterol homeostasis, researchers must consider several methodological factors:
Membrane fractionation: ERLIN1/2 complexes accumulate in detergent-resistant membranes (DRMs) after solubilization with non-ionic detergent (Triton X-100) and can be isolated by flotation using Optiprep gradients
Lipid binding assays: ERLIN1/2 complexes interact selectively with monophosphorylated phosphoinositides, with strongest binding to PI(3)P (~5-fold greater than to PI(4)P and PI(5)P)
Cholesterol measurement protocols: When assessing ERLIN1's role in cholesterol homeostasis, distinguish between total cellular cholesterol, membrane-bound cholesterol, and cholesterol esters
ERAD pathway components: Monitor additional proteins including RNF170, TMUB1, and IP3Rs, as ERLIN1 functions within larger protein complexes
Subcellular compartment markers: Include markers for ER, Golgi, and lipid droplets to accurately interpret ERLIN1's role in cholesterol transport between organelles
Contradictory data regarding ERLIN1 expression patterns can be reconciled by considering several technical and biological factors:
Antibody specificity: Many anti-ERLIN1 antibodies cross-react with unrelated proteins. For example, analysis showed that some antibodies produce nucleolar staining that cannot be suppressed by siRNA against TMUB1, indicating non-specific binding
Complex formation dependencies: ERLIN1 stability depends on complex formation with ERLIN2. In ERLIN2 knockout cells, ERLIN1 may show altered expression patterns due to reduced stability rather than reflecting true tissue-specific expression
Detection methods: Western blotting of membrane fractions versus whole-cell lysates can yield different results. Immunohistochemistry results depend heavily on fixation and antigen retrieval methods (TE buffer pH 9.0 versus citrate buffer pH 6.0)
Functional redundancy: In some experimental systems, ERLIN1 and ERLIN2 show compensatory expression. A comprehensive approach using multiple antibodies and detection methods, along with genetic knockdown validation, is essential to resolve contradictory data
For optimal ERLIN1 detection in membrane fractions:
Buffer composition: Use a buffer containing 20 mM HEPES (pH 7.4), 150 mM NaCl, 1 mM EDTA, and protease inhibitor cocktail
Membrane isolation:
Homogenize cells/tissues in buffer using Dounce homogenizer (20-25 strokes)
Centrifuge at 1,000 g for 10 minutes to remove nuclei and unbroken cells
Ultracentrifuge supernatant at 100,000 g for 1 hour at 4°C
Resuspend membrane pellet in buffer containing 1% Triton X-100
Detergent resistance analysis:
For lipid raft studies, solubilize membranes in cold 1% Triton X-100
Layer on Optiprep gradient (5-40%)
Ultracentrifuge at 200,000 g for 4 hours
Collect fractions from top (DRMs float to lower density fractions)
Storage:
The ratio of ERLIN2 to ERLIN1 in membrane extracts is typically ~2:1, which can serve as a quality control metric for membrane preparations .
Optimizing ERLIN1 immunoprecipitation requires specific considerations:
Antibody selection: Use 0.5-4.0 μg antibody per 1.0-3.0 mg of total protein lysate; polyclonal antibodies targeting the C-terminal region of ERLIN1 typically perform better than those targeting the N-terminus
Lysis conditions:
Mild lysis: 1% digitonin or 0.5% CHAPS preserves ERLIN1/2 complex integrity
Standard lysis: 1% Triton X-100 with 150mM NaCl maintains most interactions
Stringent lysis: 1% NP-40 with 300mM NaCl reduces non-specific binding
Bead selection:
For detecting ubiquitinated species (e.g., IP3R1): use TUBEs (Tandem Ubiquitin Binding Entities) conjugated to agarose
For general IP: Protein A/G magnetic beads show less non-specific binding than sepharose
Controls:
IgG control: Crucial as some antibodies cross-react with nucleolar proteins
Input: Load 5-10% of pre-IP lysate
ERLIN1 knockout cells: Essential negative control
Elution strategy:
To distinguish direct ERLIN1 binding partners from indirect associations:
Crosslinking strategies:
Use membrane-permeable crosslinkers like DSP (dithiobis(succinimidyl propionate)) at 0.5-2 mM
For zero-length crosslinking, employ EDC (1-ethyl-3-(3-dimethylaminopropyl)carbodiimide) which links only directly interacting proteins
Perform sequential immunoprecipitation followed by mass spectrometry
Proximity labeling:
Generate ERLIN1-BioID or ERLIN1-APEX2 fusion proteins
Incubate cells with biotin (BioID) or biotin-phenol (APEX2)
Streptavidin pull-down followed by mass spectrometry identifies proteins in close proximity
Reconstitution systems:
Express recombinant ERLIN1 in membrane mimetic systems (nanodiscs or liposomes)
Test direct binding using purified candidate interactors
Mutations in key domains (e.g., T65I analogous mutations) can validate binding interfaces
Domain-specific analysis:
ERLIN1 and its partners (TMUB1-L, RNF170) contain conserved motifs in their luminal domains
Three-dimensional modeling shows these motifs bind the stomatin/prohibitin/flotillin/HflKC domain of adjacent ERLIN subunits at different interfaces
Point mutations in these interfaces can differentiate direct from indirect interactions
Research has demonstrated that the ERLIN scaffolds are required for TMUB1-RNF170 interaction, as knockout of ERLINs completely prevents this association while preserving TMUB1-RNF185-TMEM259 interactions .
For optimal immunohistochemical detection of ERLIN1:
For dual immunofluorescence with other ER markers, optimal antibody dilution may need further optimization to 1:20-1:200 .
For accurate quantification of ERLIN1 expression changes:
Western blot quantification:
Use membrane fractions rather than whole cell lysates
Include loading controls specific to membrane proteins (calnexin or Na⁺/K⁺-ATPase)
Employ a standard curve using recombinant ERLIN1 for absolute quantification
Note that ERLIN1 levels increase by ~70-95% in cells lacking ERLIN2, suggesting compensatory regulation
qPCR analysis:
Design primers spanning exon-exon junctions
Validate with melt curve analysis to confirm specificity
Use multiple reference genes (GAPDH alone is insufficient)
Account for the possibility of altered mRNA stability versus protein stability
Image analysis for IHC/IF:
Use automated threshold-based quantification
Analyze multiple fields (minimum 10) per sample
Implement blinded scoring by multiple observers
Consider subcellular localization patterns, not just intensity
Statistical considerations:
To validate ERLIN1 antibody specificity through functional assays:
Genetic manipulation controls:
Compare staining patterns in wild-type versus ERLIN1 knockout cells
Use siRNA knockdown with multiple sequences targeting different regions
Rescue experiments with re-expression of ERLIN1 in knockout lines
The DKO+E1/2 cell model (ERLIN1/2 double knockout with re-expressed proteins) provides an excellent validation system
Subcellular fractionation correlation:
Antibody signals should be enriched in ER membrane fractions
Signal should correlate with detergent-resistant membrane fractions in density gradients
Functional readouts:
Mutant analysis: