Tim R. Mercer

This study shows that mRNA-LNPs can efficiently deliver mRNA to hepatocytes in healthy and diseased livers, including tumors, suggesting potential for systemic mRNA therapy in liver cancer.

This paper introduces a method using bispecific antibodies to deliver mRNA-LNPs to specific cell types, demonstrating efficient targeting of EGFR and PSMA positive cells.

mRNArchitect is a software toolkit for designing and optimising mRNA sequences to improve translation, stability, and immunogenicity, validated across multiple cell types and tissues.

The paper debugs a synthetic yeast chromosome and uses laboratory evolution to identify genomic rearrangements that suppress growth defects caused by synthetic modifications.

This study maps H3K4me3 and H3K27ac in mouse neurons across lifespan, revealing epigenetic changes associated with neuronal aging and identifying new aging-related features.

This study evaluates reproducibility and accuracy of cancer mutation detection using whole-genome and whole-exome sequencing across multiple sequencing centers and bioinformatics pipelines.

The paper identifies ADRAM, an experience-dependent lncRNA that interacts with 14-3-3 to regulate Nr4a2 expression and fear extinction memory in mice.

The paper evaluates RNA purification kits and blood collection tubes for exRNA quality, finding that preservation tubes and purification methods significantly affect RNA stability, sensitivity, and reproducibility.

This study identifies hundreds of novel transcribed pseudogenes using long-read sequencing and shows their functional relevance through translation and perturbation experiments.

This paper develops a targeted NGS method with synthetic internal standards to improve detection of actionable mutations in ctDNA, increasing sensitivity and enabling quality control metrics.

This paper introduces chimeric RNA standards for SARS-CoV-2 testing to simultaneously validate positive and negative controls in diagnostic assays.

The paper creates a mouse regulatory DNA atlas by mapping DNase I hypersensitive sites across development and shows dynamic changes in regulatory elements and transcription factor activity.

The paper identifies novel non-coding RNAs in human brain tissue associated with neuropsychiatric traits using targeted RNA capture and long-read sequencing.

The paper demonstrates that chiral DNA sequence pairs perform equivalently in clinical genomics techniques and proposes them as commutable reference standards to improve mutation detection in tumor samples.

The paper identifies that nearly all noncoding exons undergo alternative splicing, generating a vast repertoire of regulatory RNAs and highlighting conserved splicing patterns across species.

The paper develops a machine-learning algorithm to annotate human splicing branchpoints from genome sequence, identifying 85% of annotated introns and confirming deleterious mutations.