Dataset Information

A semi-synthesis platform for efficient production and exploration of didemnin-based drugs

ABSTRACT: In this study, we report the screening of the yield of didemnin B from 18 Tistrella strains we collected from different regions worldwide. Among them, one T. mobilis strain was further investigated due to its capability to produce the highest yield of didemnin B in a fermentation medium. To improve the productivity of the chosen strain, we performed 11 rounds of random mutagenesis/screening and optimised culture conditions. The resultant mutated strain produced over 500 mg/L of didemnin B in a 50-L fermentation tank. We further tested the strain in an industrial-scale fermentation tank (4,000-L), resulting in the production of didemnin B approximately 480 mg/L. Furthermore, we developed two simple and efficient chemical strategies for converting didemnin B to plitidepsin. One of the strategies involves a one-step synthetic route with over 90% overall yield. The modifications in the hydroxyl group of iso-statine (iso-Sta–OH) in didemnin B can greatly impact on its bioactivity. Therefore, we further synthesised 13 new didemnin B derivatives with modifications in iso-Sta–OH for studying the structure–activity relationships. In addition, 3 photo-affinity-based didemnin probes, bearing diazirine and alkyne groups, were prepared and employed in proteomic profiling studies, which allowed the deduction of binding proteins in the THP-1 cell line. Overall, our platform not only provides a practical and sustainable solution for producing the drug molecule plitidepsin, but also offers the opportunities to utilise the functions of didemnin derivatives. We envision that our platform can expedite the development of didemnin-based drugs.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Yun Ge

LAB HEAD: Yun Ge

PROVIDER: PXD046155 | Pride | 2024-02-13

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 8

Similar Datasets

Project description:With the aim of shedding light on the protection conferred by the DNA vaccines based in the G glycoprotein of viral haemorrhagic septicaemia virus (VHSV) in turbot (Scophthalmus maximus) we have used a specific microarray highly enriched in antiviral sequences to carry out the transcriptomic study associated to VHSV DNA vaccination/infection. The differential gene expression pattern in response to empty plasmid (pMCV1.4) and DNA vaccine (pMCV1.4-G860) intramuscular administration with regard to non-stimulated turbot was analyzed in head kidney at 8, 24 and 72 hours post-vaccination. Moreover, the effect of VHSV infection one month after immunization was also analyzed in vaccinated and non-vaccinated fish at the same time points. A total number of 204 juvenile turbot were divided into 3 groups, two of them containing 72 fish and the last one 60 fish. Turbot were anaesthetized by immersion in 50 mg/ml buffered tricaine methanesulfonate (MS-222; Sigma) and then, fish from the first two groups were intramuscularly (i.m.) injected with 50 µl of PBS containing 2 µg of pMCV1.4 or pMCV1.4-G860. Turbot from the last batch were i.m. inoculated with 50 µl of PBS. At 8, 24 and 72 h after injection, 12 fish were removed from the first two tanks and, at 8 h after PBS inoculation, other 12 fish were taken from the last tank. These turbot were sacrificed by anaesthetic overdose and the head kidney was removed. Equal amounts of tissue from three fish belonging to the same tank and sampling point were pooled, obtaining 4 biological replicates for each treatment and time point (3 turbot/replicate). The remaining fish (36 in the plasmid-injected groups and 48 in the PBS-inoculated tank) were maintained during one month and then, 12 fish from the PBS injected group were separated to another tank. This new group of fish was intraperitoneally (i.p.) injected with 50 µl of MEM + penicillin and streptomycin + 2% FBS (PBS - MEM group), whereas the other turbot were i.p. infected with a dose of VHSV860 of 5 x 105 TCID50/fish (pMCV1.4 - VHSV and pMCV1.4-G860 - VHSV groups). At 8, 24 and 72 hours after infection, 12 fish were removed from the VHSV-infected tanks, and at 8 h after MEM injection the 12 fish were taken from the non-infected tank. The fish were sacrificed by anaesthetic overdose and the head kidney was removed. Equal amounts of tissue from three fish belonging to the same tank and sampling point were pooled, obtaining 4 biological replicates for treatment and time point (3 turbot/replicate)

Project description:The most widely-used method for detecting and measuring genome-wide protein-DNA interactions is chromatin immunoprecipitation on tiling microarrays, commonly known as ChIP-chip. Many tiling array platforms, amplification methods, and analysis algorithms exist for ChIP-chip, but a rigorous assessment of the relative performance of these factors has not been reported. In a multi-lab simulation of a ChIP-chip experiment, we conducted the first objective analysis of tiling array platforms and analysis algorithms. We designed a complex mixture of human genomic DNA with a "spike-in" comprised of nearly 100 human sequences at various concentrations. Eight independent groups hybridized these mixtures to four different tiling array platforms. The groups were blind to the composition of the spike-in mix, the range of concentrations covered, or how many sequences it contained. Still blind to the key, each group made predictions of the spike-in locations based on their measurements. The results reveal that all commercial tiling array platforms perform well, although each platform and analysis algorithm has distinct performance characteristics. Simple sequence repeats and genome redundancy tend to result in false positives on oligonucleotide platforms. We also compare genome-wide platforms with regard to performance and cost. The spike-in DNA samples and the resulting array data presented in our study provide a stable benchmark against which future ChIP platforms, protocol improvements, and analysis methods can be evaluated. Keywords: Spike in Control For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf With the availability of sequenced genomes and whole-genome tiling microarrays, many researchers have conducted experiments using ChIP-chip and related methods to study genome-wide protein-DNA interactions1-9. These are powerful yet challenging techniques, which are comprised of many steps that can introduce variability in the final results. One potentially important factor is the relative performance of different types of tiling arrays. Currently the most popular platforms for performing ChIP-chip experiments are PCR-product based tiling arrays spotted in academic laboratories and commercial oligonucleotide-based tiling arrays from Affymetrix, NimbleGen, and Agilent. A second factor known to introduce variation is the DNA amplification protocol, which is often required because the low DNA yield from a ChIP experiment prevents direct detection on microarrays. A third factor is the algorithm used for detecting regions of enrichment from the tiling array data. A number of algorithms have been developed, but until this report there was no benchmark dataset to systematically evaluate them. In this study, we used a spike-in experiment to systematically evaluate the effects of tiling microarrays, amplification protocols, and data analysis algorithms on ChIP-chip results. There are other potentially important factors that from a practical standpoint are more difficult to systematically control and evaluate, and are not assessed here. These include the experimenter, the amount of starting material used, size of DNA fragments after shearing, DNA labeling method, and hybridization conditions. There have been several studies evaluating the performance of gene expression microarrays and analysis algorithms10-13. However, because tiling arrays must cover large genomic regions, they have different probe properties and high probe densities, and therefore present different biochemical and informatics challenges. Thus the results from the expression array spike-in experiments are not necessarily directly relevant to tiling array experiments. One recent study compared the performance of array-based (ChIP-chip) and sequence-based (ChIP-PET) technologies on a real ChIP experiment14. However, because this was an exploratory experiment, the list of absolute “true positive” targets was and is unknown. Since this experiment was performed without a key, the sensitivity and specificity of each technology had to be estimated retrospectively by qPCR validation of targets predicted from each platform. In our experiment, eight independent research groups at locations worldwide hybridized two different mixtures of DNA to one of four tiling array platforms, and predicted genome location and concentration of the spike-in sequences using a total of 13 different algorithms. Throughout the process, the research groups were entirely blind to the contents of the spike-in mixtures. Using the spike-in key, we analyzed several performance parameters for each platform, algorithm, and amplification method. While all commercial platforms performed well, we found that each had unique performance characteristics. We examined the implications of these results in planning human genome-wide experiments, in which trade-offs between probe density and cost are important.

			Action	DRS
	20230710_LXY_PB1.msf	Msf
	20230710_LXY_PB1.raw	Raw
	20230710_LXY_PB2.raw	Raw
	20230710_LXY_PB3.raw	Raw
	20230721_LXY_C1.msf	Msf

Dataset Information

A semi-synthesis platform for efficient production and exploration of didemnin-based drugs

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets