Biology subjects

Nielsen, F. C.

Publications and source records attributed to Nielsen, F. C..

8 recordsLinked to original sources

bioRxiv2023

In depth profiling of the cancer proteome from the flowthrough of standard RNA-preparation kits for precision oncology

Cancer is a highly heterogeneous disease, even within the same patient. Biopsies taken from different regions of a tumor may stand in stark molecular contrast to each other. Therefore, the ability to generate meaningful data from multiple platforms using the same biopsy is crucial for translating multi-omics characterizations into the clinic. However, it is generally a cumbersome and lengthy procedure to generate DNA, RNA and protein material from the same biopsy. The Qiagen AllPrep kit is an accessible, straightforward, and widely used kit in clinics worldwide to process biopsies and generate genomic and transcriptomic data from tumors. We aimed to determine if high-quality proteomics data could also be obtained from the remaining material. Here, we investigated procedures for generating deep and quantitatively accurate proteomic information in high throughput from Qiagen AllPrep flowthroughs. With a number of refinements, we obtain in excess of 10,000 quantified proteins, from 60 samples per day, achieving a substantial coverage of the total proteome. Additionally, we successfully characterize the tumors using phosphoproteomics. Combining a standard kit with in-depth proteomics will be an attractive approach for clinics seeking to implement multi-omics-based precision oncology.

cancer biology↗

bioRxiv2021

A comparison of tools for copy-number variation detection in germline whole exome and whole genome sequencing data

BackgroundCopy-number variations (CNVs) have important clinical implications for several diseases and cancers. The clinically relevant CNVs are hard to detect because CNVs are common structural variations that define large parts of the normal human genome. CNV calling from short-read sequencing data has the potential to leverage available cohort studies and allow full genomic profiling in the clinic without the need for additional data modalities. Questions regarding performance of CNV calling tools for clinical use and suitable sequencing protocols remain poorly addressed, mainly because of the lack of good reference data sets. MethodsWe reviewed 50 popular CNV calling tools and included 11 tools for benchmarking in a unique reference cohort encompassing 39 whole genome sequencing (WGS) samples paired with analysis by the current clinical standard --SNP-array based CNV calling. Additionally, for nine of these samples we performed whole exome sequencing (WES) performed, in order to address the effect of sequencing protocol on CNV calling. Furthermore, we included Gold Standard reference sample NA12878, and tested 12 samples with CNVs confirmed by multiplex ligation-dependent probe amplification (MLPA). ResultsTool performance varied greatly in the number of called CNVs and bias for CNV lengths. Some tools had near-perfect recall of CNVs from arrays for some samples, but poor precision. Filtering output by CNV ranks from tools did not salvage precision. Several tools had better performance patterns for NA12878, and we hypothesize that this is the result of overfitting during the tool development. ConclusionsWe suggest combining tools with the best recall: GATK gCNV, Lumpy, DELLY, and cn.MOPS. These tools also capture different CNVs. Further improvements in precision requires additional development of tools, reference data sets, and annotation of CNVs, potentially assisted by the use of background panels for filtering of frequently called variants.

bioinformatics↗

bioRxiv2021

Achromobacter genetic adaptation in cystic fibrosis

Achromobacter is an emerging pathogen in patients with cystic fibrosis (CF) and Achromobacter caused infections are associated with more severe disease outcomes and high intrinsic antibiotic resistance. While conventional CF pathogens are studied extensively, little is known about the genetic determinants leading to antibiotic resistance and the genetic adaptation in Achromobacter infections. Here, we analyzed 101 Achromobacter genomes from 51 patients with CF isolated during the course of up to 20 years of infection to identify within-host adaptation, mutational signatures, and genetic variation associated with increased antibiotic resistance. We found that the same regulatory and inorganic ion transport genes were frequently mutated in persisting clone types within and between Achromobacter species indicating convergent genetic adaptation. Genome-wide association study (GWAS) of six antibiotic resistance phenotypes revealed the enrichment of associated genes involved in inorganic ion transport genes, transcription gene enrichment in {beta}-lactams, and energy production and translation gene enrichment in the trimethoprim/sulfonamide group. Overall, we provide insights into the pathogenomics of Achromobacter infections in patients with CF airways. Since emerging pathogens are increasingly recognised as an important healthcare issue, our findings on evolution of antibiotic resistance and genetic adaptation can facilitate better understanding of disease progression and how mutational changes have implications for patients with CF.

microbiology↗

bioRxiv2020

Transmission and genetic adaptation of Achromobacter in cystic fibrosis

Achromobacter species are increasingly being detected in patients with cystic fibrosis (CF), and this emerging pathogen is associated with antibiotic resistance and more severe disease outcomes. Nonetheless, little is known about the extent of transmission and antibiotic resistance development in Achromobacter infections. We sequenced the genomes of 101 clinical isolates of Achromobacter (A. xylosoxidans based on MALDI-TOF/API N20 typing) collected from 51 patients with CF--the largest longitudinal dataset to-date. We performed phylogenetic analysis on the genomes and combined this with epidemiological and antibiotic resistance data to identify patient-to-patient transmission and development of antibiotic resistance. We found that MALDI-TOF/API N20 was not sufficient for Achromobacter species-level typing, and that the population of Achromobacter isolates was composed of five different species where A. xylosoxidans accounted for 52% of infections. Most patients were infected by unique Achromobacter clone types; nonetheless, suspected patient-to-patient transmission cases identified by shared clone types were observed in 35% (N=18) of patients. In 15 of 16 cases the suspected transmissions were further supported by genome- or clinic visit-based epidemiological analysis. Finally, we found that resistance developed over time. We show that whole-genome sequencing (WGS) is essential for Achromobacter species typing and patient-to-patient transmission identification which was identified in A. ruhlandii, A. xylosoxidans and, for the first time, A. insuavis. Furthermore, we show that the development of antibiotic resistance is associated with chronic Achromobacter infections. Our findings emphasize that transmission and antibiotic resistance should be considered in future treatment strategies.

genomics↗

bioRxiv2020

Benchmarking full-length transcript single cell mRNA sequencing protocols

Single cell mRNA sequencing technologies have transformed our understanding of cellular heterogeneity and identity. For sensitive discovery or clinical marker estimation where high transcript capture per cell is needed only plate-based techniques currently offer sufficient resolution. Here, we present a performance evaluation of three different plate-based scRNA-seq protocols. Our evaluation is aimed towards applications requiring high gene detection sensitivity, reproducibility between samples, and minimum hands-on time, as is required, for example, in clinical use. We included two commercial kits, NEBNext(R) Single Cell/ Low Input RNA Library Prep Kit (NEB(R)), SMART-seq(R) HT kit (Takara(R)), and the non-commercial protocol Genome & Transcriptome sequencing (G&T). G&T delivered the highest detection of genes per single cell, at the absolute lowest price. Takara(R) kit presented similar high gene detection per single cell, and high reproducibility between sample, but at the absolute highest price. NEB(R) delivered a lower detection of genes but remain an alternative to more expensive commercial kits.

molecular biology↗

bioRxiv2020

Fluorescence Correlation and Cross-Correlation Spectroscopy Unveil Cytoplasmic mRNP Composition and Dynamics

Understanding the mRNA life cycle requires analysis of the dynamic macromolecular composition and stoichiometry of mRNPs. Fluorescence correlation and cross-correlation spectroscopy (FCS and FCCS) are appealing technologies to study mRNP complexes because they readily provide information about the molecular composition, stoichiometry, heterogeneity and dynamics of the particles. We developed FCS protocols for analysis of live cells and cellular lysates, and demonstrate the feasibility of analysing common cytoplasmic mRNPs composed of core factor YBX1, IMPs (or IGF2BPs) and their interactions with other RNA binding proteins such as PABPC1, ELAVL2 (HuB), STAU1 and FMRP. FCCS corroborated previously reported RNA dependent interactions between the factors and provided an estimate of the relative overlap between the factors in the mRNPs. In this way FCS and FCCS provide a new and useful approach for the quantitative and dynamic analysis of mRNP macromolecular complexes that may complement current biochemical approaches.

cell biology↗

bioRxiv2020

Gene loss and acquisition in lineages of bacteria evolving in a human host environment

While genome analyses have documented that there are differences in the gene repertoire between evolutionary distant lineages of the same bacterial species, less is known about micro-evolutionary dynamics of gene loss and acquisition within lineages of bacteria as they evolve over the timescale of years. This knowledge is valuable to understand both the basic mutational steps that on long timescales lead to evolutionary distant bacterial lineages, and the evolution of the individual lineages themselves. In the case that lineages evolve in a human host environment, gene loss and acquisition may furthermore have implication for disease. We analyzed the genomes of 45 Pseudomonas aeruginosa lineages evolving in the lungs of cystic fibrosis patients to identify genes that are lost or acquired during the first years of infection in each of the different lineages. On average, the lineage genome content changed with 88 genes (range 0-473). Genes were more often lost than acquired, and prophage genes were more variable than bacterial genes. We identified genes that were lost or acquired independently across different clonal lineages, i.e. convergent molecular evolution. Convergent evolution suggests that there is a selection for loss and acquisition of certain genes in the host environment. We find that a significant proportion of such genes are associated with virulence; a trait previously shown to be important for adaptation. Furthermore, we also compared the genomes across lineages to show that within-lineage variable genes more often belonged to genomic content not shared across all lineages. Finally, we used 4,760 genes shared by 446 P. aeruginosa genomes to develop a stable and discriminatory typing scheme for P. aeruginosa clone types (Pactyper, https://github.com/MigleSur/Pactyper). In sum, our analysis adds to the knowledge on the pace and drivers of gene loss and acquisition in bacteria evolving over multiple years in a human host environment and provides a basis to further understand how gene loss and acquisition plays a role in lineage differentiation and host adaptation. Data SummaryP. aeruginosa genome sequencing data has been made publicly available by Marvig et al. (2015) and is deposited in Sequence Read Archive (SRA) under accession ERP004853.

evolutionary biology↗

bioRxiv2019

Single mRNP analysis by super-resolution microscopy and fluorescence correlation spectroscopy reveals that small mRNP granules represent mRNA singletons

Small cytoplasmic mRNP granules are implicated in mRNA transport, translational control and decay. Employing Super-resolution Microscopy and Fluorescence Correlation Spectroscopy, we analyzed the molecular composition and dynamics of single cytoplasmic YBX1_IMP1 mRNP granules in live cells. Granules appeared elongated and branched with patches of IMP1 and YBX1 distributed along mRNA, reflecting the attachment of the two RNA-binding proteins in cis. Particles form at the nuclear pore and are spatially segregated from translating ribosomes, so the mRNP is a repository for mRNAs awaiting translation. Individual mRNPs contain a single mRNA and 5 to 15 molecules of YBX1 and IMP1, which is in agreement with the average number of mRNA-binding sites calculated from CLIP analyses. We conclude that small cytoplasmic mRNP granules are mRNA singletons, thus depicting the cellular transcriptome. Consequently, expression of functionally related mRNAs in RNA regulons is unlikely to result from coordinated assembly. O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY Graphical abstract C_FIG_DISPLAY

molecular biology↗