https://www.selleckchem.com/products/pf-06952229.html Multivariate data analysis (MVDA) has been leveraged successfully in a variety of applications in the chemical and biochemical industries, including for tasks such as bioprocess monitoring, identification of critical process parameters and assessment of process variability and comparability during process development, scale-up and technology transfer. Henceforth, MVDA is reviewed here as a suitable tool for tackling some of the challenges faced in the development of CGT manufacturing processes. A summary of some key CGT manufacturing challenges is provided along with a review of MVDA applications to mammalian and microbial processes, and an exploration of the potential benefits, requirements and pre-requisites of MVDA applications in the development of CGT manufacturing processes.Human mesenchymal stem/stromal cells (hMSCs) present a key therapeutic cellular intervention for use in cell and gene therapy (CGT) applications due to their immunomodulatory properties and multi-differentiation capability. Some of the indications where hMSCs have demonstrated pre-clinical or clinical efficacy to improve outcomes are cartilage repair, acute myocardial infarction, graft versus host disease, Crohn's disease and arthritis. The current engineering challenge is to produce hMSCs at an affordable price and at a commercially-relevant scale whilst minimising process variability and manual, human operations. By employing bioreactors and microcarriers (due to the adherent nature of hMSCs), it is expected that production costs would decrease due to improved process monitoring and control leading to better consistency and process efficiency, and enabling economies of scale. This approach will result in off the shelf (allogeneic) hMSC-based products becoming more accessible and affordable. Importantly, cell quality, including potency, must be maintained during the bioreactor manufacturing process. This review aims to examine the vario