Project description:Dental calculus is becoming a crucial material in the study of past populations, with increasing interest in its proteomic and genomic content. Here we suggest further development of protocol for analysis of ancient proteins and a combined approach for subsequent ancient DNA extraction. We tested the protocol on recent teeth. We then applied the optimised protocol to ancient teeth to limit the destruction of calculus, as it is a precious and irreplaceable source of dietary, microbiological, and ecological information in the archaeological context. Finally, the applicability of the protocol was proven on samples of ancient calculus.
Project description:three protein extraction methods were used for cotton leaves protein extraction, and LC-MS/MS analyses of total proteins obtained from cotton leaves.
Project description:We compared 3 small RNA library prep kits (CleanTag, NEXTflex, QIAseq) and two RNA extraction methods (miRNeasy and MagnaZol) on plasma. We report that library preparation has a significant effect upon the miRNA profile detected, with QIAseq libraries exhibiting the least sequencing bias of the three library kits. RNA extraction methods also contribute, to a lesser extent, to the miRNA profile detected, with MagnaZol RNA extraction increasing the percentage of reads mapping to miRNAs and the number of individual miRNAs detected.
Project description:Entamoeba histolytica membrane proteins are important players in the parasite’s pathogenicity. However, most of the proteins have not been identified. This study reports the membrane proteins extracted using three extractions methods: two commercial kits (ProteoExtract® from Calbiochem and ProteoPrep® from Sigma), and a conventional laboratory method. The resulting membrane fractions (MF) and cytosolic fractions (CF)were analysed using LC-ESI-MS/MS. The proteins identified in at least two out of three biological replicates revealed a total of 490, 492, and 587 MF proteins extracted using the ProteoExtract® kit, ProteoPrep® kit and conventional method, respectively. Meanwhile, 487, 611 and 343 proteins were identified in the CF extracted using the ProteoExtract® kit, ProteoPrep® kit and conventional method, respectively. Analysis of the identified MF and CF proteins extracted by the respective extraction kits suggests that the ProteoPrep® extraction kit was the most selective in separating MF and CF among the three extraction methods.