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Loading controls

Discover loading controls that deliver precision and reproducibility for western blot and protein analysis, optimized for whole cell, nuclear, and mitochondrial studies.
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What is a loading control antibody?

Loading controls are proteins that exhibit a high but stable level of constitutive expression in the cell type or sample that you are studying. Housekeeping genes, such as actin, GAPDH, tubulin, or mitochondrial proteins, are usually suitable choices.

Loading controls confirm that protein loading is equal across each lane of a gel and, therefore, help to normalize the levels of your protein of interest. Loading controls also ensure the reliability of your data between samples, as the expression levels of the loading control should remain consistent across sample types.

Below is an example of negative and loading controls in a western blot (Figure 1).

Western blot - Anti-beta Actin antibody

Figure 1. Western blot with anti-beta actin antibody [AC-15] (ab6276). Lane 1: Wild-type HAP1 cell lysate (20 µg). Lane 2: Beta-actin knockout HAP1 cell lysate (20 µg), used as a negative control. Lanes 1 and 2: Merged signal (red and green). Green - beta-actin (ab6276) observed at 42 kDa. Red - loading control (ab181602) observed at 37 kDa. Ab6276 was shown to specifically react with beta-actin in wild-type HAP1 cells (lane 1). No band was observed in the negative control (beta-actin knockout cell lysate in lane 2).

Why should I use a loading control?

Quantification

When lanes have not been loaded evenly, loading controls can be used to quantify the protein amounts in each lane by using the density of the loading control band to correct for the differences in loading.

Equal transfer

Loading controls have a second role as a control in western blots. They can be used to check that there has been even transfer from the gel to the membrane across the whole gel. This is imperative when comparing the protein expression levels between samples.

Edge effect

This is an issue that is particularly important in signaling assays or experiments where a large number of lanes are being run at once. Proteins in the outer lanes of the gel are transferred to the membranes in a position close to the frame. This may result in more variation in binding compared to other areas of the gel. Loading controls can show if this effect has occurred and allow you to correct for the variation in binding.

Requested by referees

Using loading controls is essential for publication-quality work. As an example, to be published in many Nature journals, a paper must meet four general criteria, the first of which is that it must "provide strong evidence for its conclusions." This directly correlates to the necessity of controls to prove that the results obtained are valid.

How do I choose the right loading control?

Molecular weight compatibility

It is essential to choose a loading control with a different molecular weight than that of the protein of interest. This ensures that you can distinguish between the bands.

Stable expression across conditions

Choose a protein that is not affected by your treatment, cell type, or disease state. Common housekeeping proteins like β-actin, GAPDH, and tubulin are often used, but their expression can vary under stress, hypoxia, or differentiation

Detection method

Select a control that is compatible with your detection system (eg, HRP, fluorescent, or chemiluminescent).

Subcellular localization

Match the choice of control to the localization of your target, eg, cytoplasmic, nuclear, mitochondrial, etc.

Types of loading control

Use the table below to help select the right loading control to match your target localization.

Subcellular localization
Loading control
Molecular weight (kDa)
Notes
Whole cell
Vinculin
116
Expression may vary during cell migration, mechanical stress, or EMT (epithelial-to-mesenchymal transition)
Whole cell
Alpha actinin
100
Not suitable for skeletal muscle samples
Whole cell
Beta Tubulin
55
Tubulin expression may vary according to resistance to antimicrobial and antimiotic drugs (Sangrajang S et al., 1998; Prasad V et al., 2000)
Whole cell
Alpha Tubulin
55
Tubulin expression may vary according to resistance to antimicrobial and antimiotic drugs (Sangrajang S et al., 1998; Prasad V et al., 2000)
Whole cell
Actin
45
Not suitable for skeletal muscle samples
Whole cell
Beta Actin
43
Not suitable for skeletal muscle samples. Changes in cell-growth conditions and interactions with extracellular matrix components may after actin protein synthesis (Farmer et al., 1983)
Whole cell
GAPDH
37
Some physiological factors, such as hypoxia and diabetes, increase GAPDH expression in certain cell types
Whole cell
Cyclophilin B
21
Expression can vary under ER stress or inflammatory conditions
Whole cell
Cofilin
18
Expression may vary during cell migration and oxidative stress
Nuclear
Lamin B1
66
Not suitable for samples where the nuclear envelope is removed
Nuclear
HDAC1
60
HDAC1 levels fluctuate with chromatin remodeling and transcriptional activity
Nuclear
YY1
45
Expression can vary with cell cycle, stress, or differentiation
Nuclear
TATA binding protein TBP
38
Not suitable for samples where DNA is removed
Nuclear
PCNA
28
Degraded during DNA damage
Nuclear
Histone H3
17
Many other proteins run at ~17 kDa
Mitochondrial
HSP60
61
Levels change during oxidative stress
Mitochondrial
VDAC1/Porin
31
May oligomerise during apoptosis
Mitochondrial
COX IV
17
Many proteins run at the same 16 kDa size as COX IV
Membrane
Sodium Potassium ATPase
113
Expression may vary in cardiac, renal, or neurological models
Serum
Transferrin
77
High in iron deficiant samples and low in liver disease

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