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Biology subjects

Thorn, G. J.

Publications and source records attributed to Thorn, G. J..

4 recordsLinked to original sources

Systematic benchmarking of low-input whole exome sequencing workflows for longitudinal ctDNA profiling in pancreatic ductal adenocarcinoma

Whole exome sequencing (WES) of circulating tumour DNA (ctDNA) enables longitudinal monitoring of tumour dynamics, evolution and treatment response but remains technically challenging in low-input, low-shedding settings such as pancreatic ductal adenocarcinoma (PDAC). Here, we systematically compared three commercially available low-input WES workflows incorporating Agilent (V6, V8) and Qiagen exome capture designs using ultra-low input cfDNAs extracted from multiple matched longitudinal plasma samples from PDAC patients. Using predefined performance metrics including coverage, duplication rate and variant detection and additional metrics relevant for clinical genomic profiling in patient care, we show that all three workflows produced high-quality sequencing data, even from very low input cfDNA. Within the conditions tested here, the Agilent V8 workflow provided the most favourable balance of coverage uniformity, sequencing efficiency and hotspot coverage for low input, low tumour fraction cfDNA WES. These findings demonstrate that workflow design, including capture footprint, substantially influences ctDNA WES performance in low-input clinical contexts. These findings are particularly relevant in early stage and/or minimal residual disease settings, where tumour fractions are low and recovery of genomic information from limited-input samples is critical.

genomics↗

Nucleosome reorganisation in breast cancer tissues

Nucleosome repositioning in cancer is believed to cause many changes in genome organisation and gene expression. Understanding these changes is important to elucidate fundamental aspects of cancer. It is also important for medical diagnostics based on cell-free DNA (cfDNA), which originates from genomic DNA regions protected from digestion by nucleosomes. Here we have generated high resolution nucleosome maps in paired tumour and normal tissues from the same breast cancer patients using MNase-assisted histone H3 ChIP-seq and compared them with the corresponding cfDNA from blood plasma. This analysis has detected single-nucleosome repositioning at key regulatory regions in a patient-specific manner and common cancer-specific patterns across patients. The nucleosomes gained in tumour versus normal tissue were particularly informative of cancer pathways, with [~]20-fold enrichment at CpG islands, a large fraction of which marked promoters of genes encoding DNA-binding proteins. In addition, tumour tissues were characterised by a 5-10 bp decrease in the average distance between nucleosomes (nucleosome repeat length, NRL), which is qualitatively similar to the differences between pluripotent and differentiated cells. These effects were correlated with gene activity, DNA sequence repeats abundance, differential DNA methylation and binding of linker histone variants H1.4 and H1X. Our findings provide a new mechanistic understanding of nucleosome repositioning in tumour tissues that can be valuable for patient stratification and monitoring using liquid biopsies.

genomics↗

DNA sequence-dependent formation of heterochromatin nanodomains

The mammalian epigenome contains thousands of heterochromatin nanodomains (HNDs) marked by di- and trimethylation of histone H3 at lysine 9, which have a typical size of 3-10 nucleosomes. However, the (epi)genetic determinants of their location and boundaries are only partly understood. Here, we compare four HND types in mouse embryonic stem cells, that are defined by histone methylases SUV39H1/2 or GLP, transcription factor ADNP or chromatin remodeller ATRX. Based on a novel chromatin hierarchical lattice framework termed ChromHL, we are able to predict HND maps with singe-nucleotide resolution. We find that HND nucleation can be rationalized by DNA sequence specific protein binding to PAX3/9, ADNP and LINE1 repeats. Depending on type of microdomains, boundaries are determined either by CTCF binding sites or by nucleosome-nucleosome and nucleosome-HP1 interactions. Our new framework allows predicting how patterns of H3K9me2/3 and other chromatin nanodomains are established and changed in processes such as cell differentiation.

genomics↗

Nuclear poly(A) tail size is regulated by Cnot1 during the serum response

The poly(A) tail removal from mRNAs introduces a delay between mRNA synthesis and decay. We measured levels and poly(A) tail sizes of serum-induced mRNAs and used mathematical modelling to compare their deadenylation time with the delay in decay and found that they are indeed correlated. Discrepancies between our data and the polyadenylation models at later time points after the peak of induction led us to investigate the size of the poly(A) tails on newly made mRNA. Surprisingly, new serum-induced mRNAs synthesised late in induction had short poly(A) tails (around A25) in the nucleus. In addition, newly made constitutive mRNAs had medium sized poly(A) tails (around A50). To see if deadenylation was responsible for the new short poly(A) tails, we depleted Cnot1, a subunit of the CCR4/NOT deadenylase. Cnot1 depletion led to slower deadenylation of cytoplasmic mRNAs, as expected, but also decreased transcription and led to longer nuclear mRNA poly(A) tails. These observations implicate CCR4/NOT in regulating both the transcription and the nuclear poly(A) tail size of serum-induced mRNAs. Detection of some chromatin-associated mRNAs with long poly(A) tails suggested that nuclear deadenylation is an early event. Our data show that initial poly(A) tail size of mRNAs can be regulated and is not always 200-250 nucleotides, adding a novel layer to the control of gene expression.

molecular biology↗