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Efficient identification of antibodies, or any fragments thereof, displaying desired specificity and affinity is critical for the development of novel immunotherapeutics. Here we describe the adaptation of in vitro compartmentalization for the cell-free selection of Vκ and VH domain antibodies (dAbs™) from large combinatorial libraries. The dAbs™ are in vitro expressed in fusion to the N-terminus of single-chain variant of phage P22 Arc repressor DNA-binding domain that links the compartmentally expressed protein molecules to their encoding PCR fragment-based genes via cognate operator sites present on the DNA. Libraries of up to 10(10) in size can be rapidly assembled and selected for improved affinity in equilibrium and off-rate conditions.
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http://dx.doi.org/10.1007/978-1-61779-968-6_12 | DOI Listing |
Meat Sci
September 2025
Department of Food Gastronomy and Food Hygiene, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159C St., (Building No. 32), 02-776 Warsaw, Poland. Electronic address:
The aim of the study was to assess the effect of lyophilized cell-free supernatant (CFS) obtained from Lacticaseibacillus paracasei B1 and Lactiplantibacillus plantarum O24 cultures on the characteristics of cooked pork sausages stored by 21 days at 4 °C. The following parameters were assessed: antioxidant activity (ABTS, Reducing Power, Fe-chelating activity), texture parameters (hardness, springiness, gumminess, chewiness) and color changes (L*,a*,b*), as well as the fatty acid profile and TBARS content as an indicator of lipid oxidation. Microbiological status was also assessed.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
September 2025
Department of Chemical and Pharmaceutical Biology, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713AV, The Netherlands.
Type III polyketide synthases (T3PKSs) are enzymes that produce diverse compounds of ecological and clinical importance. While well-studied in plants, only a handful of T3PKSs from fungi have been characterised to date. Here, we developed a comprehensive workflow for kingdom-wide characterisation of T3PKSs.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Point-of-use diagnostics based on allosteric transcription factors (aTFs) are promising tools for environmental monitoring and human health. However, biosensors relying on natural aTFs rarely exhibit the sensitivity and selectivity needed for real-world applications, and traditional directed evolution struggles to optimize multiple biosensor properties at once. To overcome these challenges, we develop a multi-objective, machine learning (ML)-guided cell-free gene expression workflow for engineering aTF-based biosensors.
View Article and Find Full Text PDFNPJ Digit Med
September 2025
Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dynamic response to therapy is strongly associated with cancer outcomes. We aim to develop the response-adapted individualized risk index (RAIRI) as an individual prognostic approach and predictive biomarker for adjuvant chemotherapy (AC) benefit in nasopharyngeal carcinoma (NPC) based on pretreatment clinical characteristics, longitudinal cell-free Epstein-Barr virus DNA, and MRI-based tumor regression measurements collected during treatment. Using Bayesian joint model, we developed and validated RAIRI, a dynamic and multidimensional model, with 2148 patients in training, internal validation, external validation, and RCT cohorts (ClinicalTrials.
View Article and Find Full Text PDFClin Epigenetics
August 2025
Nantes Université, Inserm UMR 1307, CNRS UMR 6075, Université d'Angers, CRCI2NA, F-44000, Nantes, France.
Background: DNA methyltransferase (DNMT) inhibitors are emerging as a promising class of agents for personalized and targeted cancer therapy, particularly in malignancies with limited therapeutic options such as glioblastoma (GB). In GB, the MGMT/DGKI methylation profile serves as a biomarker for stratifying patients by treatment response. Specifically, the MGMT/DGKI profile is associated with favorable outcomes, whereas the MGMT/DGKI profile correlates with poor outcome.
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