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De novo assembly and authentication of ancient DNA metagenomes with nf-core/mag.

Ancient DNA provides a direct window into the evolutionary processes that have shaped living microbial species today, as well as their now extinct relatives. Advances in both sequencing methods and de novo assembly techniques have not only resulted in a flood of modern metagenomic sequencing data, but they have also allowed palaeogenomicists to retrieve vast amounts of ancient DNA from past microorganisms, including species and strains without modern reference genomes. However, the degraded nature of ancient DNA means that the standard techniques of genome assembly developed for modern DNA are unlikely to perform effectively, unless heavily modified. This hinders the incorporation of ancient data into broader metagenomic studies that would otherwise benefit from having deep time information on the evolution of different microbial species. In this primer and protocol paper, we provide guidance on ways to adapt existing metagenomic de novo assembly processes, including data input, tools, and settings, in order to perform more robustly and effectively on ancient DNA. After assembly, we then further describe how ancient DNA contigs can be identified and validated. The key steps of ancient metagenomic assembly are now integrated in a dedicated ancient DNA mode in the established pipeline nf-core/mag. By introducing support for ancient DNA data in nf-core/mag, we aim to improve the ability of researchers to more regularly integrate de novo assembled ancient microbial data into broader metagenomics studies of microbial ecology and evolution.

DNA, Ancient↗

An easy-to-use pipeline to analyze amplicon-based Next Generation Sequencing results of human mitochondrial DNA from degraded samples.

Genome and transcriptome examinations have become more common due to Next-Generation Sequencing (NGS), which significantly increases throughput and depth coverage while reducing costs and time. Mitochondrial DNA (mtDNA) is often the marker of choice in degraded samples from archaeological and forensic contexts, as its higher number of copies can improve the success of the experiment. Among other sequencing strategies, amplicon-based NGS techniques are currently being used to obtain enough data to be analyzed. There are some pipelines designed for the analysis of ancient mtDNA samples and others for the analysis of amplicon data. However, these pipelines pose a challenge for non-expert users and cannot often address both ancient and forensic DNA particularities and amplicon-based sequencing simultaneously. To overcome these challenges, a user-friendly bioinformatic tool was developed to analyze the non-coding region of human mtDNA from degraded samples recovered in archaeological and forensic contexts. The tool can be easily modified to fit the specifications of other amplicon-based NGS experiments. A comparative analysis between two tools, MarkDuplicates from Picard and dedup parameter from fastp, both designed for duplicate removal was conducted. Additionally, various thresholds of PMDtools, a specialized tool designed for extracting reads affected by post-mortem damage, were used. Finally, the depth coverage of each amplicon was correlated with its level of damage. The results obtained indicated that, for removing duplicates, dedup is a better tool since retains more non-repeated reads, that are removed by MarkDuplicates. On the other hand, a PMDS = 1 in PMDtools was the threshold that allowed better differentiation between present-day and ancient samples, in terms of damage, without losing too many reads in the process. These two bioinformatic tools were added to a pipeline designed to obtain both haplotype and haplogroup of mtDNA. Furthermore, the pipeline presented in the present study generates information about the quality and possible contamination of the sample. This pipeline is designed to automatize mtDNA analysis, however, particularly for ancient samples, some manual analyses may be required to fully validate results since the amplicons that used to be more easily recovered were the ones that had fewer reads with damage, indicating that special care must be taken for poor recovered samples.

DNA, Mitochondrial↗

Pyrosequencing: sequence typing at the speed of light.

Nucleotide sequencing is an established method for gaining information relating to partial gene, whole gene, or whole genome sequence. Here we describe some of the background leading to the advent of modern nucleotide sequencing and how it has led to the development of Pyrosequencing, a relatively new method for real-time nucleotide sequencing. In particular, we describe how this method can be used for typing bacterial pathogens.

Bacterial Typing Techniques↗

Breast cancer expression profiling: the impact of microarray testing on clinical decision making.

The available clinical prognostic tools show an obvious limitation in predicting the outcome of breast cancer patients, and pathological features cannot classify tumours accurately. Microarray-based molecular classification of breast tumours or selection of gene expression panels to improve risk prediction or treatment outcomes are thought to be theoretically superior to established clinical and pathological criteria, based on guidelines such as the St Gallen and National Institute of Health consensus, or which use specific prognostic tools, such as the Nottingham Prognostic Index or Adjuvant-Online algorithm. Although two diagnostic tests based on gene expression profiling of breast cancer are commercially available, a new molecular classification and molecular forecasting of breast cancer based on expression profiling cannot outperform the standard tumour diagnostic at present. This review focuses on some important problems in the practical application of molecular profiling of breast cancer for clinical purposes.

Breast Neoplasms↗

Application of DNA microarray technology in determining breast cancer prognosis and therapeutic response.

There are > 1.15 million cases of breast cancer diagnosed worldwide annually, and it is the second leading cause of cancer death in the European Union. The optimum management of patients with breast cancer requires accurate prognostic and predictive factors. At present, only a small number of such factors are used clinically. DNA microarrays have the potential to measure the expression of tens of thousands of genes simultaneously. Recent preliminary findings suggest that DNA microarray-based gene expression profiling can provide powerful and independent prognostic information in patients with newly diagnosed breast cancer. As well as providing prognostic information, emerging results suggest that DNA microarrays can also be used for predicting response or resistance to treatment, especially to neoadjuvant chemotherapy. Prior to clinical application, these preliminary findings must be validated using large-scale prospective studies. This article reviews these advances and also examines the role of DNA microarrays in reducing the number of patients who receive inappropriate chemotherapy. The most recent data supporting the integration of various publicly available data sets is also reviewed in detail.

Breast Neoplasms↗

Arrayed identification of DNA signatures.

Over the last few years, several initiatives have described efforts to combine previously invented techniques in molecular biology with parallel detection principles to sequence or genotype DNA signatures. The Infinium system from Illumina and the Affymetrix GeneChips are two systems suitable for whole-genome scoring of variable positions. However, directed candidate-gene approaches are more cost effective and several academic groups and the private sector provide techniques with moderate typing throughput combined with large sample capacity suiting these needs. Recently, whole-genome sequencing platforms based on the sequencing-by-synthesis principle were presented by 454 Life Sciences and Solexa, showing great potential as alternatives to conventional genotyping approaches. In addition to these sequencing initiatives, many efforts are pursuing novel ideas to facilitate fast and cost-effective whole genome sequencing, such as ligation-based sequencing. Reliable methods for routine re-sequencing of human genomes as a tool for personalized medicine, however, remain to be developed.

Base Sequence↗

Modification of an automated liquid-handling system for reagent-jet, nanoliter-level dispensing.

Reducing the scale of biochemical reactions is becoming commonplace. Examples include the screening of large libraries of chemical compounds or gene sequences. These applications demand the ability to transfer sub-microliter volumes of fluid. To this end, we have modified a Hamilton MICROLAB 2200 with high-speed solenoids and a liquid pressurization system to modulate volume delivery down to the nanoliter level. Additional modifications include the use of sapphire-tipped dispensing nozzles and a high-resolution substage to assist in the construction of DNA microarrays. Techniques for characterizing the dispensed volume are presented.

Aluminum Oxide↗

Gene expression profiling in peripheral blood leukocytes as a new approach for assessment of human stress response.

Stress is the coordinated physiological processes to maintain a dynamic equilibrium under stressful conditions. The equilibrium is threatened by certain physiological and psychological stressors. Stressors trigger physiological, behavioural, and metabolic responses that are aimed at reinstating homeostasis. The hypothalamus-pituitary-adrenal (HPA) axis and the sympathetic nervous system play an essential role in the stress response. Excessive,prolonged, or inadequate response that is termed as "allostasis" or "allostatic load" leads to pathological outcomes. Dysregulation of the HPA axis activity is involved in the pathogenesis of stress-related disorders including major depression. The complex brain-immune-endocrine network regulates the HPA axis, and hereditary predisposition as well as environmental factors such as traumatic experiences in early life also modifies the capacity of an individual to cope. Therefore, it is difficult to correctly assess the complex stress response. We have developed a microarray carrying 1,467 cDNAs that were selected to specifically measure stress response in peripheral blood leukocytes. Using this tool, we have succeeded to objectively assess individual response to acute psychological stress and to detect unique expression profiles in patients with depression. Gene expression profile in peripheral blood leukocytes may be a potentially useful for the detection of disease-associated, abnormal stress responses.

Gene Expression Profiling↗

Computational methods for protein secondary structure prediction using multiple sequence alignments.

Efforts to use computers in predicting the secondary structure of proteins based only on primary structure information started over a quarter century ago [1-3]. Although the results were encouraging initially, the accuracy of the pioneering methods generally did not attain the level required for using predictions of secondary structures reliably in modelling the three-dimensional topology of proteins. During the last decade, however, the introduction of new computational techniques as well as the use of multiple sequence information has lead to a dramatic increase in the success rate of prediction methods, such that successful 3D modelling based on predicted secondary structure has become feasible [e.g., Ref 4]. This review is aimed at presenting an overview of the scale of the secondary structure prediction problem and associated pitfalls, as well as the history of the development of computational prediction methods. As recent successful strategies for secondary structure prediction all rely on multiple sequence information, some methods for accurate protein multiple sequence alignments will also be described. While the main focus is on prediction methods for globular proteins, also the prediction of trans-membrane segments within membrane proteins will be briefly summarised. Finally, an integrated iterative approach tying secondary structure prediction and multiple alignment will be introduced [5].

Algorithms↗

Diabetic nephropathy is associated with gene expression levels of oxidative phosphorylation and related pathways.

The in vitro behavior of skin fibroblasts from patients with or without diabetic nephropathy is associated with diabetic nephropathy risk. Here we compared skin fibroblast gene expression profiles from two groups of type 1 diabetic patients: 20 with very fast ("fast-track") versus 20 with very slow ("slow-track") rates of development of diabetic nephropathy lesions. Gene expression profiles of skin fibroblasts grown in 25 mmol/l glucose for 36 h were assessed by Affymetrix HG-U133A GeneChips to determine the proportion of genes in a given biological pathway that were directionally consistent in their group differences. Five pathways reached statistical significance. All had significantly greater proportions of genes with higher expression levels in the fast-track group. These pathways, the first four of which are closely related and have overlapping genes, included oxidative phosphorylation (P<0.001), electron transport system complex III (P=0.017), citrate cycle (P=0.037), propanoate metabolism (P=0.044), and transcription factors (P=0.046). These results support the concept that oxidative phosphorylation and related upstream pathways may be important in the pathogenesis of diabetic nephropathy. Whether these findings reflect inherent genetic cellular characteristics, "cell memory," or both requires further study.

Adult↗

The LMP2A signalosome--a therapeutic target for Epstein-Barr virus latency and associated disease.

Most adults are infected with Epstein-Barr virus (EBV), a virus that establishes a lifelong latent infection in B lymphocytes and is associated with a variety of cancers. In normal individuals, latent infection with EBV typically poses no health risk, but upon immunosuppression, either following organ transplantation or HIV infection, malignancies and lymphoproliferative diseases can result. We have utilized both transgenic mice and EBV transformed lymphoblastoid cell lines (LCLs) as models of EBV latent infection to explore the function of latent membrane protein 2A (LMP2A) of EBV. This has allowed us to identify important functional domains of LMP2A, essential host proteins necessary for LMP2A function, and the effect of LMP2A on normal B cell function. These studies have provided a more complete understanding of the role of LMP2A in EBV latency and tumorigenesis and may allow for the identification of novel therapeutics for the treatment or eradication of EBV latent infections and associated proliferative disorders.

Animals↗

Expression of the peripheral benzodiazepine receptor triggers thymocyte differentiation.

In the thymus, during T-cell differentiation, the expression of the peripheral benzodiazepine receptor (PBR) modulates. The protein level decreases between the double negative and double positive stages, and then increases when thymocytes become single positive. We addressed the role played by PBR in T-cell maturation. To this aim, we used Jurkat cells, which are immature T lymphocytes derived from an acute lymphoblastic leukemia. These cells are PBR negative and were stably transfected to achieve PBR levels similar to that in mature T cells. Using the DNA chip technology, we analyzed the PBR expression-dependent gene changes and evidenced that PBR-expressing cells exhibited more mature features than mock-transfected ones. A majority of the modulated genes encode proteins playing direct or indirect roles during the lymphocyte maturation process. In particular, PBR expression induced several differentiation markers (such as CD1, CD6), or key regulating elements (e.g., RAG1, RAG2, CD99, TCR). By contrast, some regulators of TCR signaling were reduced. PBR expression also affected the expression of critical apoptosis regulators: the proapoptotic lipocortin I, galectin-1, and galectin-9 were reduced while the antiapoptotic Bcl-2 was induced. Altogether our results supported the hypothesis that PBR controls T-cell maturation and suggested mechanisms through which PBR may regulate thymocyte-positive selection.

Apoptosis↗

[Contamination through preparation: risk of molecular genetic studies by using biological preservatives for museum collections].

In paleogenetic science, artifacts (i.e. non-authentic DNA sequences) are mainly produced by cryptic contamination with (i) edaphon DNA sequences and/or (ii) human biomolecules derived from the involved researchers and the laboratory equipment. A third, and yet underestimated source of contamination with exogenous nucleic acids is provided by (iii) conservation practices applied to old material. Bone glue has been successfully used from the beginning of the 19th century up to the middle of this century, and comprises a rich source of non-authentic nucleic acids. An unequivocal identification of treated samples remains difficult since bone and the glue used for conservatory purposes bear similar chemical properties. Since the majority of agents used for the preservation of museum collections are of biological origin, the differentiation between contaminated and non-treated samples is required.

Artifacts↗

Molecular medicine: a primer for clinicians. Part XII: DNA microarrays and their application to clinical medicine.

Previous papers in our Molecular Medicine series have described how the many tools of the molecular biologist are being used to develop practical bedside applications of modern molecular biology. We have discussed molecular diagnostics, gene therapy, and applications in clinical genetics. In this paper we discuss DNA microarray technology which provides a genome-wide profile of gene expression. We then describe some current and potential clinical applications in the disease diagnosis, prognosis and treatment. Particularly exciting is the potential of DNA array technology to provide individualized treatment for a wide variety of clinical conditions.

Gene Expression↗

Functional classification of interferon-stimulated genes identified using microarrays.

Interferons (IFNs) are a family of multifunctional cytokines that activate transcription of subsets of genes. The gene products induced by IFNs are responsible for IFN antiviral, antiproliferative, and immunomodulatory properties. To obtain a more comprehensive list and a better understanding of the genes regulated by IFNs, we compiled data from many experiments, using two different microarray formats. The combined data sets identified >300 IFN-stimulated genes (ISGs). To provide new insight into IFN-induced cellular phenotypes, we assigned these ISGs to functional categories. The data are accessible on the World Wide Web at http://www.lerner.ccf.org/labs/williams/, including functional categories and individual genes listed in a searchable database. The entries are linked to GenBank and Unigene sequence information and other resources. The goal is to eventually compile a comprehensive list of all ISGs. Recognition of the functions of the ISGs and their specific roles in the biological effects of IFNs is leading to a greater appreciation of the many facets of these intriguing and essential cytokines. This review focuses on the functions of the ISGs identified by analyzing the microarray data and focuses particularly on new insights into the protein kinase RNA-regulated (PRKR) protein, which have been made possible with the availability of PRKR-null mice.

Animals↗