Microarray resources for genetic and genomic studies in chicken: A review

Gheyas, Almas; Burt, David W.

doi:10.1002/dvg.22387

Cited by 29 publications

(23 citation statements)

References 105 publications

(182 reference statements)

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“…This high-throughput genome analysis can be applied for studying DNA-protein interaction, transcription analysis, detection and characterization of genetic variants [43] and environmental toxicology [44]. The summary of microarray analysis is shown in Fig.…”

Section: Introduction To Microarray Technologymentioning

confidence: 99%

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Microarray analysis of metallothioneins in human diseases—A review

Křížková

Kępińska

Emri

et al. 2016

Journal of Pharmaceutical and Biomedical Analysis

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. 1 Microarray analysis of metallothioneins in human diseases AbstractMetallothioneins (MTs), low molecular mass cysteine-rich proteins, which are able to bind up to 20 monovalent and up to 7 divalent heavy metal ions are widely studied due to their functions in detoxification of metals, scavenging free radicals and cells protection against the oxidative stress. It was found that the loss of the protective effects of MT leads to an escalation of pathogenic processes and carcinogenesis. 3The most extensive area is MTs expression for oncological applications, where the information about gene patterns is helpful for the identification biological function, resistance to drugs and creating the correct chemotherapy. In other medical applications the effect of oxidative stress to cell lines exposed to heavy metals and hydrogen peroxide is studied as well as influence of drugs and cytokines on MTs expression and MTs expression in the adiposetissue. The precise detection of low metallothionein concentrations and its isoforms is necessary to understand the connection between quantity and isoforms of MTs to size, localization and type of cancer. This information is necessary for well-timed therapy and increase the chance to survival. Microarray chips appear as good possibility for finding all information about expression of MTs genes and isoforms not only in cancer, but also in other diseases, especially diabetes, obesity, cardiovascular diseases, ageing, osteoporosis, psychiatric disorders and as the effects of toxic drugs and pollutants, which is discussed in this review. List of abbreviations:HCC -hepatocellular carcinoma, HFD -high fat diet, MMP -matrix metalloproteinase, MT -metallothionein, MTF -metal transcription factor, MRE -metal responsive element, ROS -reactive oxygen species.

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Section: Introduction To Microarray Technologymentioning

confidence: 99%

“…2. The basic description of DNA microarray is a collection of microscopic DNA spots attached to a solid surface [43]. One spot contains picomole amount of a specific DNA probe.…”

Section: Introduction To Microarray Technologymentioning

confidence: 99%

Microarray analysis of metallothioneins in human diseases—A review

Křížková

Kępińska

Emri

et al. 2016

Journal of Pharmaceutical and Biomedical Analysis

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“…Tremendous progress has been achieved in the fields of genetics and genomics over the last two decades (Gheyas and Burt, 2013). SNPs are by far the most commonly used tools for detecting DNA sequence variations.…”

Section: Discussionmentioning

confidence: 99%

Identification of single nucleotide polymorphisms in the ASB15 gene and their associations with chicken growth and carcass traits

Wang¹,

Jiang²,

Kang³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. ASB15 is a member of the ankyrin repeat and suppressor of cytokine signaling box family, and is predominantly expressed in skeletal muscle. In the present study, an F 2 resource population of Gushi chickens crossed with Anka broilers was used to investigate the genetic effects of the chicken ASB15 gene. Two single nucleotide polymorphisms (SNPs) (rs315759231 A>G and rs312619270 T>C) were identified in exon 7 of the ASB15 gene using forced polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing. One was a missense SNP (rs315759231 A>G) and the other was a synonymous SNP (rs312619270 T>C). The rs315759231 A>G polymorphism was significantly associated with body weight at birth, 12-week body slanting length, semi-evisceration weight, evisceration weight, leg muscle weight, and carcass weight (P < 0.05). The rs312619270 T>C polymorphism was significantly associated with body weight at birth, 4, 8, and 12-week body weight, 8-week shank length, 12-week breast bone length, 8 and 12-week body slanting length, breast muscle weight, and carcass weight (P < 0.05). Our results suggest that the ASB15 gene profoundly affects chicken growth and carcass traits.

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“…The availability of new technologies, including high density tilling array and SNP chips [83], especially massive parallel sequencing, has heralded the new era of CNV detection, fine mapping of CNV breakpoints, and perhaps zygosity status. As has been clearly demonstrated, CNVs play an essential role in certain qualitative traits.…”

Section: Prospects and Conclusionmentioning

confidence: 99%

Copy Number Variation in Chickens: A Review and Future Prospects

Byers

2014

Microarrays

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DNA sequence variations include nucleotide substitution, deletion, insertion, translocation and inversion. Deletion or insertion of a large DNA segment in the genome, referred to as copy number variation (CNV), has caught the attention of many researchers recently. It is believed that CNVs contribute significantly to genome variability, and thus contribute to phenotypic variability. In chickens, genome-wide surveys with array comparative genome hybridization (aCGH), SNP chip detection or whole genome sequencing have revealed a large number of CNVs. A large portion of chicken CNVs involves protein coding or regulatory sequences. A few CNVs have been demonstrated to be the determinant factors for single gene traits, such as late-feathering, pea-comb and dermal hyperpigmentation. The phenotypic effects of the majority of chicken CNVs are to be delineated.

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Microarray resources for genetic and genomic studies in chicken: A review

Cited by 29 publications

References 105 publications

Microarray analysis of metallothioneins in human diseases—A review

Microarray analysis of metallothioneins in human diseases—A review

Identification of single nucleotide polymorphisms in the ASB15 gene and their associations with chicken growth and carcass traits

Copy Number Variation in Chickens: A Review and Future Prospects

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