Drug Regulatory-Compliant Validation of a qPCR Assay for Bioanalysis Studies of a Cell Therapy Product with a Special Focus on Matrix Interferences in a Wide Range of Organ Tissues

Author:

Schröder Hannes M.1,Niebergall-Roth Elke1ORCID,Norrick Alexandra1,Esterlechner Jasmina1,Ganss Christoph1,Frank Markus H.2345ORCID,Kluth Mark A.1

Affiliation:

1. RHEACELL GmbH & Co. KG, 69120 Heidelberg, Germany

2. Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA

3. Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA

4. Transplant Research Program, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA

5. School of Medical and Health Sciences, Edith Cowan University, Perth, WA 6027, Australia

Abstract

Quantitative polymerase chain reaction (qPCR) has emerged as an important bioanalytical method for assessing the pharmacokinetics of human-cell-based medicinal products after xenotransplantation into immunodeficient mice. A particular challenge in bioanalytical qPCR studies is that the different tissues of the host organism can affect amplification efficiency and amplicon detection to varying degrees, and ignoring these matrix effects can easily cause a significant underestimation of the true number of target cells in a sample. Here, we describe the development and drug regulatory-compliant validation of a TaqMan® qPCR assay for the quantification of mesenchymal stromal cells in the range of 125 to 20,000 cells/200 µL lysate via the amplification of a human-specific, highly repetitive α-satellite DNA sequence of the chromosome 17 centromere region HSSATA17. An assessment of matrix effects in 14 different mouse tissues and blood revealed a wide range of spike recovery rates across the different tissue types, from 11 to 174%. Based on these observations, we propose performing systematic spike-and-recovery experiments during assay validation and correcting for the effects of the different tissue matrices on cell quantification in subsequent bioanalytical studies by multiplying the back-calculated cell number by tissue-specific factors derived from the inverse of the validated percent recovery rate.

Funder

National Institutes of Health (NIH) National Eye Institute

NIH National Heart, Lung, and Blood Institute

National Institute on Aging

Publisher

MDPI AG

Subject

General Medicine

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