Transgenic mouse models--a seminal breakthrough in oncogene research

Transgenic mouse models are an integral part of modern cancer research, providing a versatile and powerful means of studying tumor initiation and progression, metastasis, and therapy. The present repertoire of these models is very diverse, with a wide range of strategies used to induce tumorigenesis by expressing dominant-acting oncogenes or disrupting the function of tumor-suppressor genes, often in a highly tissue-specific manner. Much of the current technology used in the creation and characterization of transgenic mouse models of cancer will be discussed in depth elsewhere. However, to gain a complete appreciation and understanding of these complex models, it is important to review the history of the field. Transgenic mouse models of cancer evolved as a new and, compared with the early cell-culture-based techniques, more physiologically relevant approach for studying the properties and transforming capacities of oncogenes. Here, we will describe early transgenic mouse models of cancer based on tissue-specific expression of oncogenes and discuss their impact on the development of this still rapidly growing field.

ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering

Zinc-finger nucleases (ZFNs) and transcription activator-like effector nucleases (TALENs) comprise a powerful class of tools that are redefining the boundaries of biological research. These chimeric nucleases are composed of programmable, sequence-specific DNA-binding modules linked to a nonspecific DNA cleavage domain. ZFNs and TALENs enable a broad range of genetic modifications by inducing DNA double-strand breaks that stimulate error-prone nonhomologous end joining or homology-directed repair at specific genomic locations. Here, we review achievements made possible by site-specific nuclease technologies and discuss applications of these reagents for genetic analysis and manipulation. In addition, we highlight the therapeutic potential of ZFNs and TALENs and discuss future prospects for the field, including the emergence of clustered regulatory interspaced short palindromic repeat (CRISPR)/Cas-based RNA-guided DNA endonucleases.

How could molecular biology modify the management of upper urinary tract tumours?

BACKGROUND

Upper urinary tract urothelial carcinomas (UUT-UCs) account for only 5-10% of urothelial carcinomas and the gold standard treatment is open radical nephroureterectomy. Strong differences exist regarding tumor behaviour between the upper and the lower urinary tract.

OBJECTIVE

To demonstrate how the current knowledge in molecular biology of UUT-UCs is likely to modify the management of these tumours.

ACQUISITION OF EVIDENCE

A MEDLINE search was performed on UUT-UC using the following terms: urinary tract cancer; urothelial carcinomas; upper urinary tract; molecular markers; renal pelvis; ureter; ureteroscopy; nephroureterectomy; adjuvant treatment; neoadjuvant treatment; recurrence; risk factors and survival.

EVIDENCE SYNTHESIS

Conservative surgery for low-risk UUT-UCs allows for preservation of the upper urinary renal unit, while sparing the patient the morbidity associated with open surgery. Such surgical strategy might be more appropriate in tumors displaying certain molecular markers: microsatellite instability, E-cadherin, MET, Aurora-A, and Ki-67. These markers could help to identify more candidates to nephron-sparing treatment without compromising the oncologic outcome. Susceptibility means an increase in risk conferred by one or more polymorphisms (allele types) of a given gene or genes, which expose the individual to the genotoxic effects of environmental carcinogens. The variant allele SULT1A1*2 with reduced sulfotransferase activity and the T allele of rs9642880 on chromosome 8q24 enhance the risk of UUT-UCs. If an at-risk genetic profile could be established, it might be possible to prevent urothelial carcinomas in some patients.

CONCLUSIONS

Surgical practice is gradually moving towards minimally invasive techniques which spare the functional unity of the kidney and urinary tract. The ongoing identification of distinct carcinogenic mechanisms for UUT-UCs might open the way to specific treatments adapted to the molecular pattern of each tumor. The next era might hopefully be that of chemoprevention.

[New concepts in molecular biology applied to traslational research]

This chapter intends to introduce the new concepts that have been established in molecular biology over the last years and are being applied in translational research. The chapter is divided in four big blocks, which treat the molecular biology concepts and techniques in relation to DNA, RNA, proteins and metabolites, respectively. Moreover, we give examples of translational application of these new methodologies described.

The current state of play on the molecular genetics of depression

BACKGROUND

It has been well established that both genes and non-shared environment contribute substantially to the underlying aetiology of major depressive disorder (MDD). A comprehensive overview of genetic research in MDD is presented. Method Papers were retrieved from PubMed up to December 2011, using many keywords including: depression, major depressive disorder, genetics, rare variants, gene-environment, whole genome, epigenetics, and specific candidate genes and variants. These were combined in a variety of permutations.

RESULTS

Linkage studies have yielded some promising chromosomal regions in MDD. However, there is a continued lack of consistency in association studies, in both candidate gene and genome-wide association studies (GWAS). Numerous factors may account for variable results including the use of different diagnostic approaches, small samples in early studies, population stratification, epigenetic phenomena, copy number variation (CNV), rare variation, and phenotypic and allelic heterogeneity. The conflicting results are also probably, in part, a consequence of environmental factors not being considered or controlled for.

CONCLUSIONS

Each research group has to identify what issues their sample may best address. We suggest that, where possible, more emphasis should be placed on the environment in molecular behavioural genetics to identify individuals at environmental high risk in addition to genetic high risk. Sequencing should be used to identify rare and alternative variation that may act as a risk factor, and a systems biology approach including gene-gene interactions and pathway analyses would be advantageous. GWAS may require even larger samples with reliably defined (sub)phenotypes.

Molecular pathogenesis and mechanisms of thyroid cancer

Thyroid cancer is a common endocrine malignancy. There has been exciting progress in understanding its molecular pathogenesis in recent years, as best exemplified by the elucidation of the fundamental role of several major signalling pathways and related molecular derangements. Central to these mechanisms are the genetic and epigenetic alterations in these pathways, such as mutation, gene copy-number gain and aberrant gene methylation. Many of these molecular alterations represent novel diagnostic and prognostic molecular markers and therapeutic targets for thyroid cancer, which provide unprecedented opportunities for further research and clinical development of novel treatment strategies for this cancer.

Systems biology for molecular life sciences and its impact in biomedicine

Modern systems biology is already contributing to a radical transformation of molecular life sciences and biomedicine, and it is expected to have a real impact in the clinical setting in the next years. In this review, the emergence of systems biology is contextualized with a historic overview, and its present state is depicted. The present and expected future contribution of systems biology to the development of molecular medicine is underscored. Concerning the present situation, this review includes a reflection on the "inflation" of biological data and the urgent need for tools and procedures to make hidden information emerge. Descriptions of the impact of networks and models and the available resources and tools for applying them in systems biology approaches to molecular medicine are provided as well. The actual current impact of systems biology in molecular medicine is illustrated, reviewing two cases, namely, those of systems pharmacology and cancer systems biology. Finally, some of the expected contributions of systems biology to the immediate future of molecular medicine are commented.

Signal processing for molecular and cellular biological physics: an emerging field

Recent advances in our ability to watch the molecular and cellular processes of life in action--such as atomic force microscopy, optical tweezers and Forster fluorescence resonance energy transfer--raise challenges for digital signal processing (DSP) of the resulting experimental data. This article explores the unique properties of such biophysical time series that set them apart from other signals, such as the prevalence of abrupt jumps and steps, multi-modal distributions and autocorrelated noise. It exposes the problems with classical linear DSP algorithms applied to this kind of data, and describes new nonlinear and non-Gaussian algorithms that are able to extract information that is of direct relevance to biological physicists. It is argued that these new methods applied in this context typify the nascent field of biophysical DSP. Practical experimental examples are supplied.

[The world of double helix--"it did not escape our notice"]

One of the key questions of biology is the nature and mechanisms of gene function. It has been 60 years since proposing the right-handed model of DNA double helix in 1953. This discovery was honored with Nobel Prize in 1962 and become a breakthrough in knowing and understanding mechanisms of heredity and genetic code. Since that time a great deal of data have been gathered considering functions, structure and DNA application. It became the basis of modern molecular biology, chemical biology and biotechnology. Today we know, that double helix is characterized by its dynamics and plasticity, which depend on its nucleotide sequence. Chromatin structure and DNA mediated charge transport have a crucial role in understanding mechanisms of its damage and repair. Progress in epigenetics allowed to identify new DNA bases, such as 5-methylcytosine, 5-hydroxymethylcytosine, 5-formylcytosine and 5-carboxycytosine. Design of new catalytic nucleic acids and the nanotechnology field of DNA origami reveal its application potential.

Fundamental approaches in molecular biology for communication sciences and disorders

PURPOSE

This contemporary tutorial will introduce general principles of molecular biology, common deoxyribonucleic acid (DNA), ribonucleic acid (RNA), and protein assays and their relevance in the field of communication sciences and disorders.

METHOD

Over the past 2 decades, knowledge of the molecular pathophysiology of human disease has increased at a remarkable pace. Most of this progress can be attributed to concomitant advances in basic molecular biology and, specifically, the development of an ever-expanding armamentarium of technologies for analysis of DNA, RNA, and protein structure and function. Details of these methodologies, their limitations, and examples from the communication sciences and disorders literature are presented. Results/Conclusions The use of molecular biology techniques in the fields of speech, language, and hearing sciences is increasing, facilitating the need for an understanding of molecular biology fundamentals and common experimental assays.

NCCN molecular testing white paper: effectiveness, efficiency, and reimbursement

Personalized medicine in oncology is maturing and evolving rapidly, and the use of molecular biomarkers in clinical decision-making is growing. This raises important issues regarding the safe, effective, and efficient deployment of molecular tests to guide appropriate care, specifically regarding laboratory-developed tests and companion diagnostics. In May 2011, NCCN assembled a work group composed of thought leaders from NCCN Member Institutions and other organizations to identify challenges and provide guidance regarding molecular testing in oncology and its corresponding utility from clinical, scientific, and coverage policy standpoints. The NCCN Molecular Testing Work Group identified challenges surrounding molecular testing, including health care provider knowledge, determining clinical utility, coding and billing for molecular tests, maintaining clinical and analytic validity of molecular tests, efficient use of specimens, and building clinical evidence.

The Protein Data Bank at 40: reflecting on the past to prepare for the future

A symposium celebrating the 40th anniversary of the Protein Data Bank archive (PDB), organized by the Worldwide Protein Data Bank, was held at Cold Spring Harbor Laboratory (CSHL) October 28-30, 2011. PDB40's distinguished speakers highlighted four decades of innovation in structural biology, from the early era of structural determination to future directions for the field.

A decade of 3C technologies: insights into nuclear organization

Over the past 10 years, the development of chromosome conformation capture (3C) technology and the subsequent genomic variants thereof have enabled the analysis of nuclear organization at an unprecedented resolution and throughput. The technology relies on the original and, in hindsight, remarkably simple idea that digestion and religation of fixed chromatin in cells, followed by the quantification of ligation junctions, allows for the determination of DNA contact frequencies and insight into chromosome topology. Here we evaluate and compare the current 3C-based methods (including 4C [chromosome conformation capture-on-chip], 5C [chromosome conformation capture carbon copy], HiC, and ChIA-PET), summarize their contribution to our current understanding of genome structure, and discuss how shape influences genome function.

Biological mechanisms, one molecule at a time

The last 15 years have witnessed the development of tools that allow the observation and manipulation of single molecules. The rapidly expanding application of these technologies for investigating biological systems of ever-increasing complexity is revolutionizing our ability to probe the mechanisms of biological reactions. Here, we compare the mechanistic information available from single-molecule experiments with the information typically obtained from ensemble studies and show how these two experimental approaches interface with each other. We next present a basic overview of the toolkit for observing and manipulating biology one molecule at a time. We close by presenting a case study demonstrating the impact that single-molecule approaches have had on our understanding of one of life's most fundamental biochemical reactions: the translation of a messenger RNA into its encoded protein by the ribosome.

A tale of two repressors

Few proteins have had such a strong impact on a field, as the lac repressor and λ repressor have had in Molecular Biology in bacteria. The genes required for lactose utilization are negatively regulated; the lac repressor binds to an upstream operator blocking the transcription of the enzymes necessary for lactose utilization. A similar switch regulates the virus life cycle; λ repressor binds to an operator site and blocks transcription of the phage genes necessary for lytic development. It is now 50 years since Jacob and Monod first proposed a model for gene regulation, which survives essentially unchanged in contemporary textbooks. Jacob, F. & Monod, J. (1961). Genetic regulatory mechanisms in the synthesis of proteins. J. Mol. Biol. 3, 318-356. This model provides a cogent depiction of how a set of genes can be coordinately transcribed in response to environmental conditions and regulates metabolic events in the cell. A historical perspective that illustrates the role these two repressor molecules played and their contribution to our understanding of gene regulation is presented.

Biomolecularmodeling and simulation: a field coming of age

We assess the progress in biomolecular modeling and simulation, focusing on structure prediction and dynamics, by presenting the field’s history, metrics for its rise in popularity, early expressed expectations, and current significant applications. The increases in computational power combined with improvements in algorithms and force fields have led to considerable success, especially in protein folding, specificity of ligand/biomolecule interactions, and interpretation of complex experimental phenomena (e.g. NMR relaxation, protein-folding kinetics and multiple conformational states) through the generation of structural hypotheses and pathway mechanisms. Although far from a general automated tool, structure prediction is notable for proteins and RNA that preceded the experiment, especially by knowledge-based approaches. Thus, despite early unrealistic expectations and the realization that computer technology alone will not quickly bridge the gap between experimental and theoretical time frames, ongoing improvements to enhance the accuracy and scope of modeling and simulation are propelling the field onto a productive trajectory to become full partner with experiment and a field on its own right.