Single cell human genomic analyses: a way to refine the knowledge of cellular heterogeneity origins in individual subject

Single cell genomics performed on individual human subjects' tumors, neural tissues, and sperm samples revealed the existence of genetic heterogeneity arising through either mutations in exomes, deletions, recombinations, and duplications of DNA sequences, as well as aneuploidy. These genetic changes happen during cell cycles followed by cell division. The aim of this review is to strictly focus on single cell human genomics and intends to deliver information that can help to refine fundamental knowledge relating to genetic causes of cellular heterogeneity origins in both healthy and disease states. Allogenic heterogeneity as well as heterogeneity origins of cells possessing the same genome with different gene expression patterns is not the subject of this review. Future research still requires: a) improvement for complete and errorless DNA acquisition and sequencing of not only selected parts of the genome, and b) analyses of more samples that contain millions of cells. These data will deliver a more precise comparative representation of genetic diversity among single cells in an individual human subject. Consequently, we will be able to better distinguish between the role of genetic, versus epigenetic, and stochastic factors in the cellular diversity of over 30 trillion cells present in a human body.     

Optimal Design of a Series of GSTR's Performing Reversible Reactions Catalyzed by Soluble Enzymes: A Theoretical Study

The condition for the minimum overall reactor volume of a given number of CSTR's in series is theoretically determined for a reversible, single reactant-single product (Uni-Uni) enzyme catalyzed reaction. The reactor network is assumed to operate in steady-state, isothermal conditions with a single phase and a constant activity of biocatalyst. The method is based on a mathematical analysis of the discrete substrate concentration profile along the CSTR's assuming complete micromixing. The algebraic equations describing the critical loci are obtained for the general case, the mathematical proof that these equations define a minimum is presented, and an exact solution arising from an asymptotic situation is found. An approximate analytical method of optimization based on the aforementioned critical behavior is reported and its validity and usefulness discussed. The formulae introduced can be used in more general situations as tools for getting the approximate range where the optimal overall volume of the series of CSTR's lies. Hence, the reasoning developed is important for the preliminary CSTR design and relevant in the initial steps of the more involved methods of numerical optimization. Finally, the enzymatic conversion of fumarate to L-malate is examined as a model system in order to assess the usefulness and applicability of the analysis developed.     

Characterization of recombinant human gastrointestinal glutathione peroxidase mutant produced in Escherichia coli

Abstract

Gastrointestinal glutathione peroxidase (GI-GPx, GPx2) is a selenium-dependent enzyme and regarded as the first line of defense against oxidative stress caused by ingested pro-oxidants or gut microbes. As the essential part of the catalytic site of GPx2, selenocysteine (Sec) is encoded by an in-frame UGA stop codon, which makes the expression of human GPx2 (hGPx2) using traditional recombinant DNA technology difficult. In order to produce bioactive recombinant hGPx2, the gene of hGPx2 was designed with the conversion of the codons for four cysteine (Cys) residues to the codons for serine (Ser) residues and the codon for Sec-40 was changed to the codon for Cys. This recombinant seleno-hGPx2 mutant was obtained using a single protein production system in a cysteine (Cys) auxotrophic strain, in which Sec was introduced into the protein via tRNA^Cys misleading. The activity of this mutant was in the same order of magnitude as that of hGPx4, but about one order of magnitude lower than that of hGPx1 and hGPx3. Further study showed that the mutant exhibited pH and temperature optima of 7.4 and 25°C, respectively. The results obtained from the kinetic analysis demonstrated that it followed a typical ping-pong mechanism similar to native GPx. As there was no report on the activity of purified GPx2, this research was valuable in recognizing native GPx2. In addition, a three-dimensional structure of seleno-hGPx2 mutant was constructed, which could facilitate further analysis of the role and the catalytic mechanism of native GPx2.     

Combining Molecular Data with Classical Morphology for Uncultured Phagotrophic Euglenids (Excavata): A Single‐Cell Approach

Phagotrophic euglenids are one of the most diverse and important forms of heterotrophic flagellates in sediment systems, and are key to understanding the evolution of photosynthetic euglenids and ‘primary osmotrophs’, yet relatively little is known about their biodiversity and phylogenetic relationships. A wealth of light microscopy‐based information is available, but little progress has been made in associating this with molecular sequence data. We established a protocol to obtain light microscopy data and molecular data from single euglenid cells isolated from environmental samples. Individual cells from freshwater and marine benthic samples were isolated and rinsed by micropipetting, documented using high‐resolution photomicroscopy, then subjected to single‐cell nested PCR using taxon‐specific primers in combination with universal eukaryotic primers, generating > 75% or full‐length SSU rDNA sequences. As a proof‐of‐principle eight individuals were characterised and subjected to phylogenetic analyses. Many of these cells were identified as Anisonema or Dinema, and grouped with existing sequences assigned to these taxa, and with a ‘Peranema sp.’ sequence that we could now clearly demonstrate was misidentified or misannotated. Another cell is Heteronema c.f. exaratum, the first ‘skidding heteronemid’ for which sequence data are available. This is not closely related to Heteronema scaphurum, and intriguingly, branches as the sister group to primary osmotrophs. A cell similar to Ploeotia vitrea (the type of this genus), shows no particular phylogenetic affinity to Ploeotia costata, the best studied Ploeotia species. Our experimental protocol provides a useful starting point for future analyses on euglenid biodiversity (including environmental sequence surveys), and their evolution and systematics.     

Discovery and development of exome‐based,co‐dominant single nucleotide polymorphism markers in hexaploid wheat (Triticum aestivum L.)

Globally, wheat is the most widely grown crop and one of the three most important crops for human and livestock feed. However, the complex nature of the wheat genome has, until recently, resulted in a lack of single nucleotide polymorphism (SNP)‐based molecular markers of practical use to wheat breeders. Recently, large numbers of SNP‐based wheat markers have been made available via the use of next‐generation sequencing combined with a variety of genotyping platforms. However, many of these markers and platforms have difficulty distinguishing between heterozygote and homozygote individuals and are therefore of limited use to wheat breeders carrying out commercial‐scale breeding programmes. To identify exome‐based co‐dominant SNP‐based assays, which are capable of distinguishing between heterozygotes and homozygotes, we have used targeted re‐sequencing of the wheat exome to generate large amounts of genomic sequences from eight varieties. Using a bioinformatics approach, these sequences have been used to identify 95 266 putative single nucleotide polymorphisms, of which 10 251 were classified as being putatively co‐dominant. Validation of a subset of these putative co‐dominant markers confirmed that 96% were true polymorphisms and 65% were co‐dominant SNP assays. The new co‐dominant markers described here are capable of genotypic classification of a segregating locus in polyploid wheat and can be used on a variety of genotyping platforms; as such, they represent a powerful tool for wheat breeders. These markers and related information have been made publically available on an interactive web‐based database to facilitate their use on genotyping programmes worldwide.     

Integrated analysis of genetic,genomic and proteomic data

The rapid expansion of methods for measuring biological data ranging from DNA sequence variations to mRNA expression and protein abundance presents the opportunity to utilize multiple types of information jointly in the study of human health and disease. Organisms are complex systems that integrate inputs at myriad levels to arrive at an observable phenotype. Therefore, it is essential that questions concerning the etiology of phenotypes as complex as common human diseases take the systemic nature of biology into account, and integrate the information provided by each data type in a manner analogous to the operation of the body itself. While limited in scope, the initial forays into the joint analysis of multiple data types have yielded interesting results that would not have been reached had only one type of data been considered. These early successes, along with the aforementioned theoretical appeal of data integration, provide impetus for the development of methods for the parallel, high-throughput analysis of multiple data types. The idea that the integrated analysis of multiple data types will improve the identification of biomarkers of clinical endpoints, such as disease susceptibility, is presented as a working hypothesis.     

Role for protein–protein interaction databases in human genetics

Proteomics and the study of protein–protein interactions are becoming increasingly important in our effort to understand human diseases on a system-wide level. Thanks to the development and curation of protein-interaction databases, up-to-date information on these interaction networks is accessible and publicly available to the scientific community. As our knowledge of protein–protein interactions increases, it is important to give thought to the different ways that these resources can impact biomedical research. In this article, we highlight the importance of protein–protein interactions in human genetics and genetic epidemiology. Since protein–protein interactions demonstrate one of the strongest functional relationships between genes, combining genomic data with available proteomic data may provide us with a more in-depth understanding of common human diseases. In this review, we will discuss some of the fundamentals of protein interactions, the databases that are publicly available and how information from these databases can be used to facilitate genome-wide genetic studies.     

Development and Application of Microsatellites in Candidate Genes Related to Wood Properties in the Chinese White Poplar (Populus tomentosa Carr.)

Gene-derived simple sequence repeats (genic SSRs), also known as functional markers, are often preferred over random genomic markers because they represent variation in gene coding and/or regulatory regions. We characterized 544 genic SSR loci derived from 138 candidate genes involved in wood formation, distributed throughout the genome of Populus tomentosa, a key ecological and cultivated wood production species. Of these SSRs, three-quarters were located in the promoter or intron regions, and dinucleotide (59.7%) and trinucleotide repeat motifs (26.5%) predominated. By screening 15 wild P. tomentosa ecotypes, we identified 188 polymorphic genic SSRs with 861 alleles, 2–7 alleles for each marker. Transferability analysis of 30 random genic SSRs, testing whether these SSRs work in 26 genotypes of five genus Populus sections (outgroup, Salix matsudana), showed that 72% of the SSRs could be amplified in Turanga and 100% could be amplified in Leuce. Based on genotyping of these 26 genotypes, a neighbour-joining analysis showed the expected six phylogenetic groupings. In silico analysis of SSR variation in 220 sequences that are homologous between P. tomentosa and Populus trichocarpa suggested that genic SSR variations between relatives were predominantly affected by repeat motif variations or flanking sequence mutations. Inheritance tests and single-marker associations demonstrated the power of genic SSRs in family-based linkage mapping and candidate gene-based association studies, as well as marker-assisted selection and comparative genomic studies of P. tomentosa and related species.     

Genome-Wide Association Studies Using Single Nucleotide Polymorphism Markers Developed by Re-Sequencing of the Genomes of Cultivated Tomato

With the aim of understanding relationship between genetic and phenotypic variations in cultivated tomato, single nucleotide polymorphism (SNP) markers covering the whole genome of cultivated tomato were developed and genome-wide association studies (GWAS) were performed. The whole genomes of six tomato lines were sequenced with the ABI-5500xl SOLiD sequencer. Sequence reads covering ∼13.7× of the genome for each line were obtained, and mapped onto tomato reference genomes (SL2.40) to detect ∼1.5 million SNP candidates. Of the identified SNPs, 1.5% were considered to confer gene functions. In the subsequent Illumina GoldenGate assay for 1536 SNPs, 1293 SNPs were successfully genotyped, and 1248 showed polymorphisms among 663 tomato accessions. The whole-genome linkage disequilibrium (LD) analysis detected highly biased LD decays between euchromatic (58 kb) and heterochromatic regions (13.8 Mb). Subsequent GWAS identified SNPs that were significantly associated with agronomical traits, with SNP loci located near genes that were previously reported as candidates for these traits. This study demonstrates that attractive loci can be identified by performing GWAS with a large number of SNPs obtained from re-sequencing analysis.     

Genotyping of IL-8-251 T > A yields prognostic information in patients with gastric carcinoma

Abstract

This study was designed to investigate the association of the IL-8-251?T?>?A gene polymorphism with clinicopathological features and the prognostic role of the gene polymorphism in patients with gastric adenocarcinoma. The gene polymorphism was detected by the polymerase chain reaction–restriction fragment length polymorphism method, followed by univariate and multivariate analyses to elicit its prognostic role. The frequency of IL-8-251?A/A, A/T and T/T genotypes were 11.0% (23/210), 43.8% (92/210) and 45.2% (95/210), respectively. The IL-8-251 gene polymorphism was closely correlated with depth of invasion (p?=?0.007), grade of differentiation (p?=?0.002) and TNM stage (p?=?0.009). A/A genotype carriers showed more frequency of serosa involvement, low grade of differentiation and advanced stage of gastric carcinoma. IL-8-251?T?>?A gene polymorphism have no significant correlation with other clinicopathological features. The 5-year overall survival of IL-8-251?A/A genotype and T allele carriers were 30.8% and 59.2%, respectively. There is a significant discrepancy among the different genotype carriers. Multivariate analysis with the Cox regression model revealed that the IL-8-251?A/A genotype is an independent prognostic indicator (HR?=?2.285, 95% Confidence Interval?=?1.06–4.93, p?=?0.035). We conclude that the IL-8-251?A/A genotype may indicate a poor prognosis for gastric adenocarcinoma patients.