I work on a drug substance protein with a mass of 15 kDa. I would expect small host cell protein impurities to co-purify with the drug substance, but HCP analysis by 2D gels, Western blots and HCP ELISA show only few low Mw HCPs. Is there an LC-MS/MS method for identification of host cell proteins with low molecular weight (small HCPs below 20 kDa)?
Yes, there are some good mass spectrometry methods for identification of HCPs with small MW. The methods are based on trypsin digestion, HPLC separation of the peptides, and MS/MS peptide analysis for identification of the proteins [1, 2].
I find that the two best LC-MS/MS methods we have at Alphalyse for small MW HCPs are:
- GeLC-MS/MS, where we fractionate your drug substance sample by Mw in 1D SDS PAGE, and hereafter identify HCPs by nanoLC-MS/MS.
- LC-MS/MS with SWATH data acquisition of your drug sample.
Both methods are optimized to detect the very low concentrations of HCPs in a high content of drug substance. Typically from 1-1000 parts per million (ppm).
Moreover, we use a database search algorithm that allows identification of proteins with good matching of only 1-2 peptides. We do this in order not to exclude small HCPs with only very few tryptic peptides.
Common reasons why small HCPs are difficult to detect
Small HCPs are often difficult to detect by other methods, for several reasons:
- Small Mw proteins don’t stain well by total protein stains in 1D and 2D gels.
The stain binds to specific amino acids, e.g. Coomassie blue binds to lysine and arginine residues. Since small proteins have a lower total number of these residues they don’t stain as well as larger proteins [3-5].
- Small Mw proteins are poor immunogens and it is difficult to raise good antibodies against small proteins.
Peptides and small proteins are often less immunogenic than larger proteins. The immunized animals therefore fail to produce antibodies against low Mw HCPs. Hence, the generated HCP antibodies fail to detect any small HCPs in the ELISA, as well as in the corresponding Western blot [3-5].
Increase the likelihood of detecting small MW HCPs
So how does one achieve the best identification results? In my experience, it is a good idea to:
- Prepare the HCP antibodies with specific attention to the low Mw protein fraction.
This can be achieved by size-fractionation of the null cell sample proteins prior to immunization. Immunization with pools of host cell proteins only containing low Mw HCPs, will increase the likelihood of an immunogenic responses against these. Hereby you avoid competition with the more immunogenic high Mw HCPs .
- Finally, ensure that you analyze the samples by a LC-MS/MS method specifically developed for detecting HCP levels of low Mw proteins.
Small HCPs only contain very few tryptic peptides, and the mass spectrometer will not detect all of them. Hence, if you use a Hi3 algorithm requiring at least 3 peptides for identification of the proteins, small proteins are excluded. Therefore, it is important that you use a protein identification algorithm allowing identification of proteins only based on one-two peptides .
Sources for more information on analysis of small MW HCPs
Rikke Lund has written a very comprehensive application note on the subject. You will find the application note along with posters at the Alphalyse website. There you can also find more information about how Alphalyse detects small HCPs by LC-MS/MS.
 Guiochon et al: “Separation science is the key to succesful biopharmaceuticals”, Journal of Chromatography A, 2011
 Tscheliessnig et al: “Host cell protein analysis in therapeutic protein bioprocessing – methods and applications.“, Biotechnology Journal, 2013
 Dimitrov, Dimiter: “Therapeutic proteins”, Methods in Molecular Biology, 2012
 Wang et al: “Host Cell Proteins in Biologics Development: Identification, Quantitation and Risk Assessment”, Biotechnology and Bioengineering, 2009
 Bracewell et al: “The Future of Host Cell Protein (HCP) Identification During Process Development and Manufacturing Linked to a Risk-Based Management for Their Control” , Biotechnology and Bioengineering, 2015