4 Material und Umwelt
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- 2020 (2) (entfernen)
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- De novo assembly (1)
- Differential gene expression analysis (1)
- Forgery (1)
- Immune gene prediction (1)
- ImmunoDB (1)
- Lead books (1)
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- mRNA-seq (1)
Organisationseinheit der BAM
- 4 Material und Umwelt (2) (entfernen)
At the end of the sixteenth century, a number of relics and artefacts were discovered in Granada, Spain. They included what became known as the Lead Books of the Sacromonte, twenty-one written artefacts made of circular lead leaves engraved in archaic Arabic characters. The authorship was attributed to some Arab disciples of St James the Greater considered to be the first evangelisers of the Iberian Peninsula. The texts, the materiality and the circumstances of the discoveries fuelled a debate surrounding their authenticity that lasted more than two centuries, a debate so fierce and controversial that not even papal condemnation in 1682 was able to stop it. Soon after the discoveries were made public, scholars highlighted the many contradictions and errors of a historical, linguistic and theological nature present in the texts, identifying members of the local Morisco community as possible forgers. This article focuses on how the scholarly community of the sixteenth and seventeenth centuries handled these findings and looks at the methods employed by the scholars to evaluate the authenticity of the artefacts. It will also look at how the particular interests of the various authorities involved influenced the acceptance or dismissal of relevant academic results.
With the advent of widely accessible and cost-effective next-generation sequencing technologies, it has become increasingly feasible to study insect immunity on a deep genomic or transcriptomic level. Here we introduce a protocol that is aimed at exploiting transcriptomic data to study immunity in non-model insect organisms. We provide instructions for an entire workflow, starting with successfiil extraction of insect RNA through to bioinformatic guidelines for the effective analysis of mRNA sequencing data. The RNA extraction procedure is based on TRIzol Reagent and a spin-column clean-up Step. The bioinformatic pipeline is intended to help users identify immune genes from de novo transcriptome data and includes guidelines for conducting differential gene expression analyses on transcriptomic data. The immune gene prediction method is based on inferring protein homologs with HMMERand Blastp and talces Advantage ofthe ImmunoDB database, which is a valuable resource for research on insect immune-related genes and gene families. The differential gene expression analysis procedure utilizes the DESeq2 package as implemented in R. We hope this protocol will serve as a usefi.il resource for researchers aiming to study immunity in non-model insect species.