Evaluation of reference genes for qRT-PCR studies in the colchicine producing Gloriosa superba L.

The flame lily, Gloriosa superba L., is one of the two primary sources of the anti-inflammatory drug, colchicine. Previous studies have shown that a higher level of colchicine production occurs in the rhizomes than in leaves and roots. Earlier precursor feeding and transcriptome analysis of G. superba have provided a putative pathway and candidate genes involved in colchicine biosynthesis. Comparative analysis of expression levels of candidate pathway genes in different tissues of G. superba using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) can reveal highly expressed genes in the rhizome compared to other tissues which could suggest roles of the gene products in colchicine biosynthesis. Normalization is an important step in effectively analyzing differential gene expression by qRT-PCR with broader applications. The current study selected candidate reference genes from the transcriptome datasets and analyzed them to determine the most stable genes for normalization of colchicine biosynthesis-related genes. Using RefFinder, one stable reference gene, UBC22, was selected to normalize gene expression levels of candidate methyltransferase (MT) genes in the leaves, roots, and rhizomes of G. superba. With UBC22 as reference gene, the methyltransferases, GsOMT1, GsOMT3, and GsOMT4 showed significantly higher expression levels in the rhizome of G. superba, while MT31794 was more highly expressed in the roots. In conclusion, the current results showed a viable reference gene expression analysis system that could help elucidate colchicine biosynthesis and its exploitation for increased production of the drug in G. superba. Supplementary Information: The online version contains supplementary material available at 10.1007/s11816-023-00840-x.

Characterization of inhibitory anti-insulin-like growth factor receptor antibodies with different epitope specificity and ligand-blocking properties: implications for mechanism of action in vivo.

Therapeutic antibodies directed against the type 1 insulin-like growth factor receptor (IGF-1R) have recently gained significant momentum in the clinic because of preliminary data generated in human patients with cancer. These antibodies inhibit ligand-mediated activation of IGF-1R and the resulting down-stream signaling cascade. Here we generated a panel of antibodies against IGF-1R and screened them for their ability to block the binding of both IGF-1 and IGF-2 at escalating ligand concentrations (>1 microm) to investigate allosteric versus competitive blocking mechanisms. Four distinct inhibitory classes were found as follows: 1) allosteric IGF-1 blockers, 2) allosteric IGF-2 blockers, 3) allosteric IGF-1 and IGF-2 blockers, and 4) competitive IGF-1 and IGF-2 blockers. The epitopes of representative antibodies from each of these classes were mapped using a purified IGF-1R library containing 64 mutations. Most of these antibodies bound overlapping surfaces on the cysteine-rich repeat and L2 domains. One class of allosteric IGF-1 and IGF-2 blocker was identified that bound a separate epitope on the outer surface of the FnIII-1 domain. Using various biophysical techniques, we show that the dual IGF blockers inhibit ligand binding using a spectrum of mechanisms ranging from highly allosteric to purely competitive. Binding of IGF-1 or the inhibitory antibodies was associated with conformational changes in IGF-1R, linked to the ordering of dynamic or unstructured regions of the receptor. These results suggest IGF-1R uses disorder/order within its polypeptide sequence to regulate its activity. Interestingly, the activity of representative allosteric and competitive inhibitors on H322M tumor cell growth in vitro was reflective of their individual ligand-blocking properties. Many of the antibodies in the clinic likely adopt one of the inhibitory mechanisms described here, and the outcome of future clinical studies may reveal whether a particular inhibitory mechanism leads to optimal clinical efficacy.

The Ashbya gossypii genome as a tool for mapping the ancient Saccharomyces cerevisiae genome.

We have sequenced and annotated the genome of the filamentous ascomycete Ashbya gossypii. With a size of only 9.2 megabases, encoding 4718 protein-coding genes, it is the smallest genome of a free-living eukaryote yet characterized. More than 90% of A. gossypii genes show both homology and a particular pattern of synteny with Saccharomyces cerevisiae. Analysis of this pattern revealed 300 inversions and translocations that have occurred since divergence of these two species. It also provided compelling evidence that the evolution of S. cerevisiae included a whole genome duplication or fusion of two related species and showed, through inferred ancient gene orders, which of the duplicated genes lost one copy and which retained both copies.