Purpose: The purpose of this work was to replace Cremophor-EL in the commercial paclitaxel intravenous formulation, Taxol, using a novel high-throughput combinatorial formulation approach.
Methods: Full factorial combinations of 12 generally regarded as safe excipients at three different concentrations were screened using an automated liquid dispenser. The hit formulations were further optimized to give the final optimized formulation TPI-1. TPI-1 was then tested in rats to compare its pharmacokinetic profile to Taxol.
Results: Of the 9,880 combinations tested in the initial screen, 19 were identified as hit combinations. These were further optimized to give the final formulation TPI-1. When tested in rats, TPI-1 was well tolerated at both the low and high doses of 5 mg/kg and 10 mg/kg, whereas Taxol killed all the rats at the high dose. TPI-1 experienced slower elimination compared to Taxol. Similar to Taxol, TPI-1 also exhibited nonlinear pharmacokinetics.
Conclusions: This study demonstrated the power of a high-throughput combinatorial approach for alternative paclitaxel formulations. We believe that this approach can be applied to drug formulation in general and it can improve the speed and efficiency of drug formulation design.
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http://dx.doi.org/10.1023/a:1025021603288 | DOI Listing |
Sci Rep
December 2024
BioSpyder Technologies, Inc., Carlsbad, CA, USA.
We report the development and performance of a novel genomics platform, TempO-LINC, for conducting high-throughput transcriptomic analysis on single cells and nuclei. TempO-LINC works by adding cell-identifying molecular barcodes onto highly selective and high-sensitivity gene expression probes within fixed cells, without having to first generate cDNA. Using an instrument-free combinatorial indexing approach, all probes within the same fixed cell receive an identical barcode, enabling the reconstruction of single-cell gene expression profiles across as few as several hundred cells and up to 100,000 + cells per sample.
View Article and Find Full Text PDFClin Exp Med
December 2024
Department of Virology, National Institute of Public Health NIH-National Research Institute, Warsaw, Poland.
Decades of basic and translational research have led to a momentum shift in dissecting the relationship between immune cells and cancer. This culminated in the emergence of breakthrough immunotherapies that paved the way for oncologists to manage certain hard-to-treat cancers. The application of high-throughput techniques of genomics, transcriptomics, and proteomics was conclusive in making and expediting the manufacturing process of cancer vaccines.
View Article and Find Full Text PDFCell Genom
December 2024
Department of Molecular & Medical Genetics, Oregon Health & Science University, Portland, OR, USA; Cancer Early Detection Advanced Research Institute, Oregon Health & Science University, Portland, OR, USA; Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA; Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA. Electronic address:
Single-cell methods to assess DNA methylation have not achieved the same level of cell throughput per experiment compared to other modalities, with large-scale datasets requiring extensive automation, time, and other resources. Here, we describe sciMETv3, a combinatorial indexing-based technique that enables atlas-scale libraries to be produced in a single experiment. To reduce the sequencing burden, we demonstrate the compatibility of sciMETv3 with capture techniques to enrich regulatory regions, as well as the ability to leverage enzymatic conversion, which can yield higher library diversity.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
December 2024
University of York, Department of Chemistry, Heslington, YO10 5DD, York, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
High-throughput combinatorial metal complex synthesis has emerged as a powerful tool for rapidly generating and screening diverse libraries of metal complexes, enabling accelerated discovery in fields such as catalysis, medicinal chemistry, and materials science. By systematically combining building blocks (BBs) under mild and efficient conditions, researchers can explore broad chemical spaces, increasing the likelihood of identifying complexes with desired properties. This method streamlines hit identification and optimisation, especially when integrated with high-throughput screening (HTS) and data-driven approaches like machine learning.
View Article and Find Full Text PDFCurr Opin Microbiol
December 2024
State Key Laboratory of Microbial Metabolism, Shanghai Jiao Tong University, Shanghai, China; Department of Bioengineering, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China; Wuhan Hesheng Technology Co., Ltd, Wuhan, China. Electronic address:
As a class of natural compounds ubiquitous in nature, diverse terpenoids exhibit a broad spectrum of applications in human endeavors. The efficient discovery of novel terpenoids and the establishment of a terpene library for broad utilization represent pressing challenges in terpenoid natural product research. Various microbial platforms offer abundant precursors for terpene biosynthesis from diverse sources.
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