Project description:There is growing interest to apply proteomics to other organisms than just the biomedically relevant and important species such as human, mouse or rat. However, one of the main hurdles for successful application of proteomics to the organism of interest is still the availability of a well annotated and curated (genomic) database that can be used to search the (mainly MS-based) proteomic data for protein identification. Thus, the field of proteogenomics is increasingly becoming important with the aim to support the annotation of genomic sequence data by exploiting the information that is obtained through proteomics from the identification and characterization of the actual gene products/expression. Here, we have studied the organism Artemisia annua, which is a Chinese medicinal plant endemic to northern parts of China. A. annua is crucial to world health programs as it is currently the sole source for biosynthetically produced artemisinin, the anitmalarial pro-drug compound that has been the last line of defence against malaria for decades.

2015-07-08 | PXD000703 | Pride

Identification of transcription factors involved in the regulation of flowering in Adonis amurensis through combined RNA-seq transcriptomics and iTRAQ proteomics

Project description:Molecular mechanisms of flowering in Adonis amurensis

2019-06-21 | GSE126456 | GEO

Comprehensive map of the Artemisia annua proteome and quantification of differential protein expression in chemotypes producing high vs low content of artemisinin

Project description:Artemisia annua is well known for biosynthesizing artemisinin, which is the primary therapeutic approach against malaria. It was reported that treatment with leaf of A. annua showed better effect and less tendency of developing drug resistance than purified artemisinin, suggesting other components in A. annua may contribute to the therapeutic efficacy. Here, we conducted a global proteomic profiling of A. annua with identification of a total of 13,403 proteins based on the genome sequence annotation database. Furthermore, we generated a spectral library to perform quantitative proteomic analysis using data independent acquisition mass spectrometry (DIA-MS). Specifically, we comprehensively quantified and compared proteins between two chemotypes that produce high (HAP) and low (LAP) artemisinin content, respectively. 182 proteins were identified with abundance significantly different between these two chemotypes. Overall, our current study globally identified the proteome of A. annua and quantitatively compared the targeted sub-proteomes between the two cultivars of HAP and LAP, providing systematic information on metabolic pathways of A. annua and facilitating identification of good chemotypes for producing anti-malaria compounds.

2020-04-27 | PXD015547 | Pride

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