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Celine Everaert
Doctoral Fellow (06/2015-12/2019)
Ghent University
Interests
non-coding RNA
liquid biopsy
bioinformatics
pan-cancer
Latest
Patient-specific alterations in blood plasma cfRNA profiles enable accurate classification of cancer patients and controls
Blocking Abundant RNA Transcripts by High-Affinity Oligonucleotides during Transcriptome Library Preparation
Longitudinal evaluation of serum microRNAs as biomarkers for neuroblastoma burden and therapeutic p53 reactivation
Performance evaluation of RNA purification kits and blood collection tubes in the Extracellular RNA Quality Control (exRNAQC) study
Whole transcriptome profiling of liquid biopsies from tumour xenografted mouse models enables specific monitoring of tumour-derived extracellular RNA
A 3′‐end capture sequencing method for high‐throughput targeted gene expression profiling
CiLiQuant: Quantification of RNA Junction Reads Based on Their Circular or Linear Transcript Origin
Custom long non-coding RNA capture enhances detection sensitivity in different human sample types
Messenger RNA capture sequencing of extracellular RNA from human biofluids using a comprehensive set of spike-in controls
Congratulations to Dr. Everaert!
Development of extracellular RNA sequencing technologies and applications for cancer diagnosis and monitoring
Performance assessment of total RNA sequencing of human biofluids and extracellular vesicles
The long noncoding RNA lncNB1 promotes tumorigenesis by interacting with ribosomal protein RPL35
SMARTer single cell total RNA sequencing
Integrative analysis identifies lincRNAs up- and downstream of neuroblastoma driver genes
Long noncoding RNA expression profiling in cancer: Challenges and opportunities
Differential gene expression analysis tools exhibit substandard performance for long non-coding RNA-sequencing data
Detecting long non-coding RNA biomarkers in prostate cancer liquid biopsies: Hype or hope?
Zipper plot: visualizing transcriptional activity of genomic regions
Depletion of tRNA-halves enables effective small RNA sequencing of low-input murine serum samples
The transcriptome of lung tumor-infiltrating dendritic cells reveals a tumor-supporting phenotype and a microRNA signature with negative impact on clinical outcome
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