Postdoctoral opportunity in microRNA functions in single cells

Inna Biryukova

We are looking for two young investigators interested in joining our team as postdoctoral researcher. Our group is part of a larger vibrant international collaborative environment and seeks to address fundamental questions in RNA biology, by applying quantitative approaches such as single-cell RNA sequencing, single-cell proteomics, various high-throughput screening methods and advanced computational biology.

The postdoctoral researchers will develop beyond-state-of-the-art methods to profile the variation of microRNA expression, interactions between microRNAs and their targets, and the impact of microRNAs on the transcriptome and proteome, in single cells. 

Read more on NatureCareers

Informal inquiries are welcome and can be submitted to marc.friedlander@scilifelab.se

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Wenjing Kang’s miRTrace study is published in Genome Biology!

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miRTrace reveals the organismal origins of microRNA sequencing data

Paper: https://genomebiology.biomedcentral.com/articles/10.1186/s13059-018-1588-9

Software page: https://friedlanderlab.org/software/mirtrace/

Abstract

We present here miRTrace, the first algorithm to trace microRNA sequencing data back to their taxonomic origins. This is a challenge with profound implications for forensics, parasitology, food control, and research settings where cross-contamination can compromise results. miRTrace accurately (> 99%) assigns real and simulated data to 14 important animal and plant groups, sensitively detects parasitic infection in mammals, and discovers the primate origin of single cells. Applying our algorithm to over 700 public datasets, we find evidence that over 7% are cross-contaminated and present a novel solution to clean these computationally, even after sequencing has occurred. miRTrace is freely available at https://github.com/friedlanderlab/mirtrace.