Adoptive transfer of gene-modified autologous T cells, for example, expressing chimeric antigen receptors (CARs), is a promising therapy option for a variety of malignant and nonmalignant diseases. Given their increased risk to develop certain cancer types, namely lymphoma, and the current progress with HIVenv-directed CARs, people living with HIV (PLWH) might particularly profit from CAR-T therapies. At the same time, clinical translation of novel advanced therapy medicinal products remains challenging, partly due to the elaborate ex vivo production under good manufacturing practice (GMP) conditions. This holds especially true for T-cell products from PLWH, which require special manufacturing conditions to suppress HIV replication. We aimed to exemplarily address this limitation in the context of CD19-CAR-T cells for HIV-positive cancer patients. To this end, we developed an integrated, GMP-compliant process for lentiviral CAR transfer and simultaneous knockout of the HIV coreceptor C-C chemokine receptor 5 (CCR5) by mRNA electroporation of our transcription activator-like effector nuclease (CCR5-Uco-hetTALEN) based on the CliniMACS Prodigy. We successfully performed three manufacturing runs to produce CCR5-edited CD19-CAR-T cells on a clinical scale, generating up to 3.9 × 10 9 viable T cells. Thirty-seven percent to 55% of the T cells in the final product expressed functional CD19-CARs, the overall CCR5 editing rates ranged from 42% to 54%. The third large-scale process was performed in the presence of the antiretroviral drug saquinavir to suppress potential viral replication during manufacturing of cells from HIV-positive patients. In summary, we have developed a GMP-compliant manufacturing process for gene-edited CAR-T cells under antiretroviral suppression, which might help to accelerate the translation of cellular immunotherapies, namely CAR-T cells for patients living with HIV in the future.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.