Loading controls for western blotting

Chandra Mohan, PhD; Wayne Speckmann, PhD; Robin Clark, PhD, MilliporeSigma, Temecula, CA

Ever since the first publication describing Western blotting (Renart et al., 1979), this immunodetection technique has been widely utilized to identify specific proteins in complex mixtures extracted from cells or tissues. Western blotting has three basic elements:1 separation of proteins by their size,2 transfer to a solid support, and3 marking target proteins using an appropriate primary antibody followed by visualization, typically with a conjugated secondary antibody. Subsequent refinements in tools and techniquesalong with the development of highly sensitive fluorescent labelshave meaningfully enhanced the limits of detection, and have allowed scientists to probe tissue-specific normal and disease pathways. However, scientists usually face some difficulties when using quantitative Western blotting to identify changes in protein levels. This is due to the fact that many proteins exhibit varying expression patterns in different tissues and under different physiological and pathological conditions.

Western blotting: a routine technique that is not simple

Although Western blotting is likely the most commonly used immunoapplication in labs worldwide, there are still a few critical technical concerns that may be chronically overlooked. For example, do isolation or separation protocols affect the integrity of the protein or its post-translational modification? Can one differentiate between degradations or aggregations of protein and the relevant products of biological processes? When the result is multiple bands, how can one determine which are result, variation, artifact? (Gorr and Vogel, 2015)

Quantitative Western blot may be used to compare relative amounts of a target protein amongst a group of samples which may represent different individuals, treatment conditions, disease states, or other biological variables. To accurately identify and measure total protein levels across multiple samples, scientists may use “loading controls” as internal standards. This control refers to the addition of a primary antibody against a protein presumed to be present in all samples and whose relative abundance is unaffected by biological variations or experimental conditions.  Protein targets that are typically good candidates for loading controls are ubiquitously expressed “housekeeping” gene products. The use of loading controls permits quantitation of sample loading across all wells in order to normalize results, under the assumption that the loading control is identical between different sample lanes. The use of loading controls also guards against the “edge effect,” a condition commonly seen when large numbers of lanes are used, and proteins in the outer lanes transfer to the membrane in a position closer to the frame, causing more intense staining at the edge of the blot. Loading controls can be used to show whether protein loading variation has occurred and may account for observed variations in the target band(s). When used correctly, loading controls ensure that proteins are quantitated appropriately despite subtle differences in loading amounts across all lanes of the Western blot.

Western blot validation of a monoclonal antibody against β-actin (A5316). Constitutively-expressed proteins like β-actin, β-tubulin, GAPDH and others are often chosen as loading controls for quantitative Western blotting. The use of loading controls helps to ensure that apparent variations in target protein abundance are due to relevant biological variation, and not to inconsistencies in the amount of total protein loaded to the gel. The table below lists other sample- and condition-specific antibodies that are useful as WB loading controls.

Choosing loading control antibodies

Beta-actin and beta-tubulin have been consistently employed as loading controls, because their expression is relatively constitutive in most model systems.  However, some publications have questioned the validity of using β-actin as a standard loading control (Ditmar and Ditmar, 2006; Eaton et al., 2013; Li and Shen, 2013) on the grounds that β-actin and β-tubulin levels differ amongst tissues, and their expression can be affected by pathological conditions. These publication authors suggest a total protein analysis as an alternative technique in quantitative Western blotting, and recommend that “housekeeping” gene products should be used with care after studying the expression pattern of the gene under investigation. Nonetheless, β-actin and β-tubulin offer certain advantages as loading controls: they are highly conserved, display high expression level, and exhibit stability under most experimental conditions. It is important to note that one must select a control based on the specific tissue or cell type being studied, and empirical testing may be required to verify the uniformity of the loading control.

Tips for getting effective results from loading control antibodies

To overcome variability in Western blotting and reduce errors in data interpretation, some of the following precautions may be helpful.

  • Use internal loading controls that are stably expressed and are minimally affected by experimental conditions.
  • Select a loading control antibody against a protein known to be constitutively expressed in your sample.
  • Utilize a second loading control to substantiate results obtained for the first control. This may be particularly worthwhile with new or novel samples.
  • Loading controls should cover a wide range of molecular weights, so that the control chosen is in a similar MW range, but not the same MW as the target protein. This ensures that both target and control bands may be easily distinguished on the blot.
  • Loading control antibodies are often detecting housekeeping proteins that are abundantly expressed, leading to signal saturation, particularly when a chemiluminescent detection method is used. Oversaturation may render loading control bands useless for reference, may hide sample-to-sample variation in target protein quantity.

Titrate antibody concentration and blot exposure time of loading control with sample to be used before beginning to ensure that loading control signal is within the linear range of detection.

Table 1: Highlighted Examples of Loading Controls
 

Loading Control Molecular Weight (kDa) Suitable for Notes
b-Actin 43 Whole cells and cytoplasmic extracts Avoid use with tissues containing high actin levels- e.g., skeletal muscle
Glyceraldehyde 3-phosphatase dehydrogenase (GAPDH) 35 Whole cells and cytoplasmic extracts Expression level may vary based on tissue type and disease conditions.
b-Tubulin 50 Whole cells and cytoplasmic extracts Expression is usually consistent across species. Expression may be affected by anti-mitotic drugs.
Voltage-dependent anion channel protein 1 (VDAC1) 31 Mitochondria VDAC1 may oligomerize in cells undergoing apoptosis. Tumor cells may show higher level of VDAC1.
Cytochrome c Oxidase 16 Mitochondria Sample can get contaminated with plasma proteins. Hence, use a proper gradient to isolate mitochondria. Has multiple subunits and expression of these subunits can vary depending on tissue type.
HSP60 60 Mitochondria HSP60 levels change depending on oxidative stress or temperature stress. Tumor cells display higher levels of HSP60.
Lamin B1 66 Nuclear envelop Highly conserved across species. A good marker of cellular senescence.
TATA-binding protein (TBP) 38 Nucleus TBP is not recommended as loading control when DNA and other nuclear components are removed.
Histone H2B 14 Nucleus Histone levels increase prior to cell division. Hence, not suited for comparing S phase with pre-S phase cells. Cell synchronization is recommended.
Proliferating cell nuclear antigen (PCNA) 36 Nucleus PCNA is rapidly degraded upon activation of DNA damage pathways.
Transferrin 75 Serum Transferrin levels are higher under condition of iron deficiency and lower in liver disease.

 

Table 2: Antibody Control Options
 

Cat. No. Product Species Reactivity Applications Size
A5441 Anti-β-Actin antibody, Clone AC-15 Multiple mammalian species ELISA, WB, IHC, IF 100, 200, 500 mL
A2066 Anti-Actin antibody, Rabbit polyclonal Human, other vertebrates IF, IHC, WB 100, 200 mL
05-661 Anti-β-Tubulin Antibody, clone AA2 Human, Rat, Mouse, Bovine WB 200 mg
CB1001 Anti-GAPDH, Clone 6C5 Multiple mammalian species ICC, WB 500 mg
G8795 Anti-GAPDH antibody, Clone GAPDH-71.1 Multiple mammalian and avian species ELISA, ICC, WB 100, 200 mL
G9545 Anti-GAPDH antibody, Rabbit polyclonal Human, Mouse, Rat IF, IP, WB 100, 200 mL
AB10527 Anti-VDAC Antibody, Rabbit polyclonal Multiple mammalian species WB 100 mg
AB10526 Anti-COX4 (Cytochrome c Oxidase), Rabbit polyclonal Human IHC, WB 100 mg
PLA0269 Anti-HSP60 Antibody, Rabbit polyclonal Multiple mammalian species IF, IHC, IP, WB 100 mL
07-371 Anti-Histone H2B, Rabbit polyclonal Human, Chicken WB 200 mg
05-1352 Anti-Histone H2B, Clone 5HH2-2A8 Human, Mouse, Rat ICC, WB 100 mL
MABE288 Anti-PCNA, Clone PC10   Human IF, IHC, WB 200 mg

 

References

  1. Renart, J et al. (1979). Proc. Natl. Acad. Sci. USA. 76:3116-3120.
  2. Dittmer A and Dittmer J. (2006). Electrophoresis. 27(14):2844-2845.
  3. Eaton, SL et al. (2013). PLOS One. doi.org/10.1371/journal.pone.0072457.
  4. Li, R and Shen, Y (2013). Life Sci. 92(13); 747-751.
  5. Gorr, TA and Vogel J (2015). Proteomics Clin. Appl. 9(3-4); 396-405.