Project description:Identification of RNA–protein interactions currently requires a quantity and quality of sample that precludes their widespread application, especially for dynamic biological systems or precious samples. Here, we present Orthogonal Organic Phase Separation (OOPS), a new approach to enrich RNA Binding Proteins (RBPs) which is compatible with downstream proteomics and RNA sequencing. The flexibility of OOPS enables recovery of RBPs and free protein, or protein-bound RNA and free RNA, from a single sample in an unbiased manner. We have applied OOPS to both eukaryotic and previously inaccessible prokaryotic models, demonstrating its wide applicability, efficacy and consistency. We observe that the proteins identified include the majority of previously known RBPs, as well as novel groups of RBPs, including membrane proteins. Furthermore, applying OOPS to a cell-cycle arrest model, we can determine dynamic changes in RNA–protein interaction. Taken together, OOPS opens new model-independent, easy-to-implement opportunities to characterize RNA–protein interactions and their dynamic behaviour.
Project description:We used single-cell sequencing data and imaging to investigate Eukaryotic plankton from environmental marine samples collected from Coogee, NSW, Australia.
Project description:Iron-rich pelagic aggregates (iron snow) were collected directly onto silicate glass filters using an electronic water pump installed below the redoxcline. RNA was extracted and library preparation was done using the NEBNext Ultra II directional RNA library prep kit for Illumina. Data was demultiplied by GATC sequencing company and adaptor was trimmed by Trimgalore. After trimming, data was processed quality control by sickle and mRNA/rRNA sequences were sorted by SortmeRNA. mRNA sequences were blast against NCBI-non redundant protein database and the outputs were meganized in MEGAN to do functional analysis. rRNA sequences were further sorted against bacterial/archeal 16S rRNA, eukaryotic 18S rRNA and 10,000 rRNA sequences of bacterial 16S rRNA, eukaryotic 18S rRNA were subset to do taxonomy analysis.