Polymerase chain reaction (PCR) is a basic molecular biology technique with a multiplicity of uses, including deoxyribonucleic acid cloning and sequencing, functional analysis of genes, diagnosis of diseases, genotyping and discovery of genetic variants. Reliable primer design is crucial for successful PCR, and for over a decade, the open-source Primer3 software has been widely used for primer design, often in high-throughput genomics applications. It has also been incorporated into numerous publicly available software packages and web services. During this period, we have greatly expanded Primer3’s functionality. In this article, we describe Primer3’s current capabilities, emphasizing recent improvements. The most notable enhancements incorporate more accurate thermodynamic models in the primer design process, both to improve melting temperature prediction and to reduce the likelihood that primers will form hairpins or dimers. Additional enhancements include more precise control of primer placement—a change motivated partly by opportunities to use whole-genome sequences to improve primer specificity. We also added features to increase ease of use, including the ability to save and re-use parameter settings and the ability to require that individual primers not be used in more than one primer pair. We have made the core code more modular and provided cleaner programming interfaces to further ease integration with other software. These improvements position Primer3 for continued use with genome-scale data in the decade ahead.

https://faircloth-lab.org/assets/pdf/untergasser-et-al-2012-nucleic-acids-research.pdf

Primer3—new capabilities and interfaces

BIOE 402. Medical Technology Assessment. 2 or 3 hours. Bioentrepreneur course. Assessment of medical technology in the context of commercialization. Objectives, competition, market share, funding, pricing, manufacturing, growth, and intellectual property; many issues unique to biomedical products. Course Information: 2 undergraduate hours. 3 graduate hours. Prerequisite(s): Junior standing or above and consent of the instructor.

“Bioinformatics” 특집을 내면서

Given the functional interdependencies between the molecular components in a human cell, a disease is rarely a consequence of an abnormality in a single gene, but reflects the perturbations of the complex intracellular and intercellular network that links tissue and organ systems. The emerging tools of network medicine offer a platform to explore systematically not only the molecular complexity of a particular disease, leading to the identification of disease modules and pathways, but also the molecular relationships among apparently distinct (patho)phenotypes. Advances in this direction are essential for identifying new disease genes, for uncovering the biological significance of disease-associated mutations identified by genome-wide association studies and full-genome sequencing, and for identifying drug targets and biomarkers for complex diseases.

Network Medicine: A Network-Based Approach to Human Disease

Evolution of Protein Molecules

Functional characterization of a protein sequence is a common goal in biology, and is usually facilitated by having an accurate three-dimensional (3-D) structure of the studied protein. In the absence of an experimentally determined structure, comparative or homology modeling can sometimes provide a useful 3-D model for a protein that is related to at least one known protein structure. Comparative modeling predicts the 3-D structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. This unit describes how to calculate comparative models using the program MODELLER and discusses all four steps of comparative modeling, frequently observed errors, and some applications. Modeling lactate dehydrogenase from Trichomonas vaginalis (TvLDH) is described as an example. The download and installation of the MODELLER software is also described.

/pdf/comparative-protein-structure-modeling-using-modeller-262v4shee8.pdf

Comparative Protein Structure Modeling Using MODELLER

Here we present Primer3Plus, a new web interface to the popular Primer3 primer design program as an enhanced alternative for the CGI- scripts that come with Primer3. Primer3 consists of a command line program and a web interface. The web interface is one large form showing all of the possible options. This makes the interface powerful, but at the same time confusing for occasional users. Primer3Plus provides an intuitive user interface using present-day web technologies and has been developed in close collaboration with molecular biologists and technicians regularly designing primers. It focuses on the task at hand, and hides detailed settings from the user until these are needed. We also added functionality to automate specific tasks like designing primers for cloning or step-wise sequencing. Settings and designed primer sequences can be stored locally for later use. Primer3Plus supports a range of common sequence formats, such as FASTA. Finally, primers selected by Primer3Plus can be sent to an order form, allowing tight integration into laboratory ordering systems. Moreover, the open architecture of Primer3Plus allows easy expansion or integration of external software packages. The Primer3Plus Perl source code is available under GPL license from SourceForge. Primer3Plus is available at http://www.bioinformatics.nl/primer3plus.

/pdf/primer3plus-an-enhanced-web-interface-to-primer3-5ffbzxoh4c.pdf

Primer3Plus, an enhanced web interface to Primer3.

Subtilases are members of the clan (or superfamily) of subtilisin-like serine proteases. Over 200 subtilases are presently known, more than 170 of which with their complete amino acid sequence. In this update of our previous overview (Siezen RJ, de Vos WM, Leunissen JAM, Dijkstra BW, 1991, Protein Eng 4:719-731), details of more than 100 new subtilases discovered in the past five years are summarized, and amino acid sequences of their catalytic domains are compared in a multiple sequence alignment. Based on sequence homology, a subdivision into six families is proposed. Highly conserved residues of the catalytic domain are identified, as are large or unusual deletions and insertions. Predictions have been updated for Ca(2+)-binding sites, disulfide bonds, and substrate specificity, based on both sequence alignment and three-dimensional homology modeling.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pro.5560060301

Subtilases: the superfamily of subtilisin-like serine proteases.

A number of large-scale efforts are underway to define the relationships between genes and proteins in various species. But, few attempts have been made to systematically classify all such relationships at the phenotype level. Also, it is unknown whether such a phenotype map would carry biologically meaningful information. We have used text mining to classify over 5000 human phenotypes contained in the Online Mendelian Inheritance in Man database. We find that similarity between phenotypes reflects biological modules of interacting functionally related genes. These similarities are positively correlated with a number of measures of gene function, including relatedness at the level of protein sequence, protein motifs, functional annotation, and direct protein-protein interaction. Phenotype grouping reflects the modular nature of human disease genetics. Thus, phenotype mapping may be used to predict candidate genes for diseases as well as functional relations between genes and proteins. Such predictions will further improve if a unified system of phenotype descriptors is developed. The phenotype similarity data are accessible through a web interface at http://www.cmbi.ru.nl/MimMiner/.

/pdf/a-text-mining-analysis-of-the-human-phenome-37m0fou76a.pdf

A text-mining analysis of the human phenome.

Genealogy of the alpha-crystallin--small heat-shock protein superfamily.

To obtain an inventory of all human genes that code for alpha-crystallin-related small heat shock proteins (sHsps), the databases available from the public International Human Genome Sequencing Consortium (IHGSC) and the private Celera human genome project were exhaustively searched. Using the human Hsp27 protein sequence as a query in the protein databases, which are derived from the predicted genes in the human genome, 10 sHsp-like proteins were retrieved, including Hsp27 itself. Repeating the search procedure with all 10 proteins and with a variety of more distantly related animal sHsps, no further human sHsps were detected, as was the case when searches were performed at deoxyribonucleic acid level. The 10 retrieved proteins comprised the 9 earlier recognized human sHsps (Hsp27/HspB1, HspB2, HspB3, alphaA-crystallin/HspB4, alphaB-crystallin/HspB5, Hsp20/HspB6, cvHsp/HspB7, H11/HspB8, and HspB9) and a sperm tail protein known since 1993 as outer dense fiber protein 1 (ODF1). Although this latter protein probably serves a structural role and has a high cysteine content (14%), it clearly contains an alpha-crystallin domain that is characteristic for sHsps. ODF1 can as such be designated as HspB10. The expression of all 10 human sHsp genes was confirmed by expressed sequence tag (EST) searches. For Hsp27/HspB1, 2 retropseudogenes were detected. The HspB1-10 genes are dispersed over 9 chromosomes, reflecting their ancient origin. Two of the genes (HspB3 and HspB9) are intronless, and the others have 1 or 2 introns at various positions. The transcripts of several sHsp genes, notably HspB7, display low levels of alternative splicing, as supported by EST evidence, which may result in minor amounts of isoforms at the protein level.

Jack A. M. Leunissen

Papers

Primer3Plus, an enhanced web interface to Primer3.

Subtilases: the superfamily of subtilisin-like serine proteases.

A text-mining analysis of the human phenome.

Genealogy of the alpha-crystallin--small heat-shock protein superfamily.

The human genome encodes 10 α-crystallin-related small heat shock proteins: HspB1-10