ADN chip. Do you know?

Ban co tai lieu ve ADN chip va ung dung cua no trong kiem soat, phan tich moi truong (/sinh thai) khong? Hay giup minh voi!! Minh da tim tren mang roi ma van chua co duoc tai lieu ve van de nay.

Bạn cần phân biệt hoặc làm rõ hai khái niệm là DNA chip ứng dụng trong môi trường (environment) với khái niệm DNA chip ứng dụng trong sinh thái (ecology) giữa MT và Sinh thái không lẫn lộn nhau được
- bạn thử vào google đánh "DNA chip environment" hoặc "DNA chip ecology", đừng có xài chữ ADN sẽ rất khó ra kết quả.
- vào trang NCBI cũng đánh như vậy nhưng thêm chữ review vô mỗi từ khóa sẽ có nhiều bài báo hay cho bạn lựa chọn
vi dụ với "review DNA chip ecology" tôi tìm được 10 bài
1: Brief Funct Genomic Proteomic. 2003 Jan;1(4):356-71. Related Articles, Links

Genome analysis technologies: towards species identification by genotype.
Naimuddin M, Nishigaki K.
Department of Functional Materials Science, Saitama University, 255 Shimo-Okubo, Saitama 338-8570, Japan.
Tra***ional identification of species has been based on phenotypic traits, although it is clear that, theoretically, genotype-based classification is more accurate. This is especially the case for microorganisms which possess less identifiable traits and are more easily influenced by environment. Therefore, technology that allows identification of species based on genotype is highly desirable. Whole genome sequencing can provide a sufficient amount of information and can be determinative for this purpose but is very impractical for routine use. Thus, a competent technology is needed that allows a reproducible reduction in the amount of information required about a whole genome, while still providing sufficiently accurate identification. It is almost imperative for such a technology to be of a high cost-performance and of easy handling. Universality and portability are also strongly desired. Based on these criteria, the current state of genome analysis technologies are reviewed. Among various methodologies discussed here, amplified fragment length polymorphism (AFLP), genome profiling (GP) and microarrays are the subject of particular attention. As species identification is a base for most fields of biology including microbiology, ecology, epidemiology and for various biotechnologies, it is of paramount importance to establish a more efficient, easily handled and more objective methodology, in parallel with conventional phenotype-based methodologies. GP is currently considered to have the most optimal nature for identification of species since it can reproducibly reduce a huge amount of genome information to a manageable size by way of random polymerase chain reaction and can extract a sufficient amount of information for species identification from the DNA fragments thus profiled by temperature gradient gel electrophoresis. The potential ability of DNA microarrays for this purpose is also discussed and promises much for the future.
Publication Types:
Review
PMID: 15239883 [PubMed - indexed for MEDLINE]
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2: Curr Opin Microbiol. 2004 Jun;7(3):245-54. Related Articles, Links

Oligonucleotide microarrays in microbial diagnostics.
Bodrossy L, Sessitsch A.
Department of Bioresources/Microbiology, ARC Seibersdorf research GmbH, A-2444 Seibersdorf, Austria. levente.bodrossy@arcs.ac.at
Oligonucleotide microarrays offer a fast, high-throughput alternative for the parallel detection of microbes from virtually any sample. The application potential spreads across most sectors of life sciences, including environmental microbiology and microbial ecology; human, veterinary, food and plant diagnostics; water quality control; industrial microbiology, and so on. The past two years have witnessed a rapid increase of research in this field. Many alternative techniques were developed and validated as seen in ''proof-of-concept'' articles. Publications reporting on the application of oligonucleotide microarray technology for microbial diagnostics in microbiology driven projects have just started to appear. Current and future technical and bioinformatics developments will inevitably improve the potential of this technology further.
Publication Types:
Review
Review, Tutorial
PMID: 15196491 [PubMed - indexed for MEDLINE]
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3: Ecotoxicology. 2003 Dec;12(6):489-95. Related Articles, Links
The genomic revolution: what does it mean for human and ecological risk assessment?
Travis CC, Bishop WE, Clarke DP.
Quest Technologies, Knoxville, TN, USA.
The first sequencing of a complete organism genome occurred in 1995. Since then there has been an explosion of information, with a new organism being sequenced nearly every week. This rapid development of genomics is providing unparalleled opportunities in toxicology, ecology, and risk assessment. This paper provides an overview of some possible applications of this new information in ecological and human risk assessment.
Publication Types:
Review
Review, Tutorial
PMID: 14680329 [PubMed - indexed for MEDLINE]
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4: Ecotoxicology. 2003 Dec;12(6):475-83. Related Articles, Links
Gene expression profiling in ecotoxicology.
Snell TW, Brogdon SE, Morgan MB.
School of Biology, Georgia Institute of Technology, Atlanta, GA 30332-0230, USA. terry.snell@biology.gatech.edu
Gene expression profiling is a powerful new end point for ecotoxicology and a means for bringing the genomics revolution to this field. We review the usefulness of gene expression profiling as an end point in ecotoxicology and describe methods for applying this approach to non-model organisms. Since genomes contain thousands of genes representing hundreds of pathways, it is possible to identify toxicant-specific responses from this wide array of possibilities. Stressor-specific signatures in gene expression profiles can be used to diagnose which stressors are impacting populations in the field. Screening for stress-induced genes requires special techniques in organisms without sequenced genomes. These techniques include differential display polymerase chain reaction (DD PCR), suppressive subtractive hybridization PCR (SSH PCR), and representational difference analysis. Gene expression profiling in model organisms like yeast has identified hundreds of genes that are up-regulated in response to various stressors, including several that are well characterized (e.g., hsp78, metallothionein, superoxide dismutase). Using consensus PCR primers from several animal sequences, it is possible to amplify some of these well characterized stress-induced genes from organisms of interest in ecotoxicology. We describe how several stress-induced genes can be grouped into cDNA arrays for rapidly screening samples.
Publication Types:
Review
Review, Tutorial
PMID: 14680327 [PubMed - indexed for MEDLINE]
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5: Curr Opin Microbiol. 2003 Jun;6(3):288-94. Related Articles, Links

Microarrays for bacterial detection and microbial community analysis.
Zhou J.
Environmental Sciences Division, Oak Ridge National Laboratory, PO Box 2008, Oak Ridge, TN 37831-6038, USA. zhouj@ornl.gov
Several types of microarrays have recently been developed and evaluated for bacterial detection and microbial community analysis. These studies demonstrated that specific, sensitive and quantitative detection could be obtained with both functional gene arrays and community genome arrays. Although single-base mismatch can be differentiated with phylogenetic oligonucleotide arrays, reliable specific detection at the single-base level is still problematic. Microarray-based hybridization approaches are also useful for defining genome diversity and bacterial relatedness. However, more rigorous and systematic assessment and development are needed to realize the full potential of microarrays for microbial detection and community analysis.
Publication Types:
Review
PMID: 12831906 [PubMed - indexed for MEDLINE]
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6: Biol Bull. 2003 Apr;204(2):196-9. Related Articles, Links

A(r)Ray of hope in analysis of the function and diversity of microbial communities.
Polz MF, Bertilsson S, Acinas SG, Hunt D.
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. mpolz@mit.edu
The vast majority of microorganisms in the environment remain uncultured, and their existence is known only from sequences retrieved by PCR. As a consequence, our understanding of the ecological function of dominant microbial populations in the environment is limited. We will review microbial diversity studies and show that these may have moved from an extreme underestimation to a potentially severe overestimation of diversity. The latter results from a simple PCR-generated artifact: the cloning of heteroduplex molecules followed by Escherichia coli mismatch repair, which may generate an exponential increase in observed sequence diversity. However, simple modifications to current PCR amplification protocols minimize such artifactual sequences and may bring within our reach estimation of bacterial diversity in environmental samples. Such estimates may spur new culture-independent approaches based on genomic and microarray technology, allowing correlation of phylogenetic identity with the ecological function of unculturable organisms. In particular, we are developing a DNA microarray that enables identification of individual populations active in utilization of specific organic substrates. The array consists of 16S and 23S rDNA-targeted oligonucleotides and is hybridized to RNA extracted from samples incubated with (14)C-labeled organic substrates. Populations that metabolize the substrate can be identified by the radiolabel incorporated in their rRNA after only one to two cell doublings, ensuring realistic preservation of community structure. Thus, the microarray approach may provide a powerful means to link microbial community structure with in situ function of individual populations.
PMID: 12700153 [PubMed - indexed for MEDLINE]
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7: Microbiol Mol Biol Rev. 2003 Mar;67(1):86-156, table of contents. Related Articles, Links

Bacteriophage T4 genome.
Miller ES, Kutter E, Mosig G, Arisaka F, Kunisawa T, Ruger W.
Department of Microbiology, North Carolina State University, Raleigh, North Carolina 27695-7615, USA. eric_miller@ncsu.edu
Phage T4 has provided countless contributions to the paradigms of genetics and biochemistry. Its complete genome sequence of 168,903 bp encodes about 300 gene products. T4 biology and its genomic sequence provide the best-understood model for modern functional genomics and proteomics. Variations on gene expression, including overlapping genes, internal translation initiation, spliced genes, translational bypassing, and RNA processing, alert us to the ****ats of purely computational methods. The T4 transcriptional pattern reflects its dependence on the host RNA polymerase and the use of phage-encoded proteins that sequentially modify RNA polymerase; transcriptional activator proteins, a phage sigma factor, anti-sigma, and sigma decoy proteins also act to specify early, middle, and late promoter recognition. Posttranscriptional controls by T4 provide excellent systems for the study of RNA-dependent processes, particularly at the structural level. The redundancy of DNA replication and recombination systems of T4 reveals how phage and other genomes are stably replicated and repaired in different environments, providing insight into genome evolution and adaptations to new hosts and growth environments. Moreover, genomic sequence analysis has provided new insights into tail fiber variation, lysis, gene duplications, and membrane localization of proteins, while high-resolution structural determination of the "cell-puncturing device," combined with the three-dimensional image reconstruction of the baseplate, has revealed the mechanism of penetration during infection. Despite these advances, nearly 130 potential T4 genes remain uncharacterized. Current phage-sequencing initiatives are now revealing the similarities and differences among members of the T4 family, including those that infect bacteria other than Escherichia coli. T4 functional genomics will aid in the interpretation of these newly sequenced T4-related genomes and in broadening our understanding of the complex evolution and ecology of phages-the most abundant and among the most ancient biological entities on Earth.
Publication Types:
Review
Review, Tutorial
PMID: 12626685 [PubMed - indexed for MEDLINE]
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8: Curr Opin Biotechnol. 2002 Jun;13(3):213-7. Related Articles, Links

Molecular community analysis of microbial diversity.
Dahllof I.
Department of Marine Ecology NERI, Fredriksborgvej 399 4000, Roskilde, Denmark. ind@dmu.dk
New technologies that avoid the need for either gene amplification (e.g. microarrays) or nucleic acid extraction (e.g. in situ PCR) have recently been implemented in microbial ecology. Together with new approaches for culturing microorganisms and an increased understanding of the biases of molecular methods, these techniques form the most exciting advances in this field during the past year.
Publication Types:
Review
Review, Tutorial
PMID: 12180095 [PubMed - indexed for MEDLINE]
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9: Mol Ecol. 2002 Jan;11(1):17-24. Related Articles, Links

Microarrays in ecology and evolution: a preview.
Gibson G.
Department of Genetics, North Carolina State University, Gardner Hall, Raleigh, NC 27695-7614, USA. ggibson@unity.ncsu.edu
Microarray technology provides a new tool with which molecular ecologists and evolutionary biologists can survey genome-wide patterns of gene expression within and among species. New analytical approaches based on analysis of variance will allow quantification of the contributions of among individual variation, genotype, ***, microenvironment, population structure, and geography to variation in gene expression. Applications of this methodology are reviewed in relation to studies of mechanisms of adaptation and divergence; delineation of developmental and physiological pathways and networks; characterization of quantitative genetic parameters at the level of transcription (''quantitative genomics''); molecular dissection of parasitism and symbiosis; and studies of the diversification of gene content. Establishment of microarray resources is neither prohibitively expensive nor technologically demanding, and a commitment to development of gene expression profiling methods for nonmodel organisms could have a tremendous impact on molecular and genetic research at the interface of organismal and population biology.
Publication Types:
Review
Review, Tutorial
PMID: 11903901 [PubMed - indexed for MEDLINE]
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10: J Microbiol Methods. 2001 Dec;47(3):257-72. Related Articles, Links

Applications of DNA microarrays in microbial systems.
Ye RW, Wang T, Bedzyk L, Croker KM.
E328/148B, DuPont Experimental Station, DuPont Central Research and Development, Route 141 and Henry Clay Road, Wilmington, DE 19880, USA. rick.ye@usa.dupont.com
DNA microarray technology allows a parallel analysis of RNA abundance and DNA homology for thousands of genes in a single experiment. Over the past few years, this powerful technology has been used to explore transcriptional profiles and genome differences for a variety of microorganisms, greatly facilitating our understanding of microbial metabolism. With the increasing availability of complete microbial genomes, DNA microarrays are becoming a common tool in many areas of microbial research, including microbial physiology, pathogenesis, epidemiology, ecology, phylogeny, pathway engineering and fermentation optimization.
Publication Types:
Review
Review, Tutorial
Validation Studies
PMID: 11714516 [PubMed - indexed for MEDLINE]

Tôi giúp bạn 50% tức là 5 bài có tựa dưới đây, phần còn lại thì bạn tự giải quyết hay nhờ ai đó giúp dùm.
Lưu ý bài tôi sẽ có chữ ký của HN ở mỗi trang.
Tôi upload lên FTP Huy Nguyễn trong file zip DNA chip ecology
Oligonucleotide microarrays in microbial diagnostics
Microarrays for bacterial detection and microbial community analysis
A(r)Ray of hope in analysis of the function and diversity of microbial communities
Molecular community analysis of microbial diversity.
Microarrays in ecology and evolution: a preview.

Cam on CONCAY rat nhieu vi nhung thong tin va goi y cua anh. Chuc anh mot mua giang sinh vui ve .Mong tiep tuc nhan duoc cac thong tin moi tu box ve van de nay nay.

Chào mocthanh. Tôi cũng đang quan tâm đến các DNA chip và bước đầu chế tạo các DNA sensor để xác định đột biến gene trong cây ngô. Tôi cũng có một ít tài liệu về các vấn đề này. Nếu bạn còn hứng thú thì liên lạc nhé. Hy vọng có sự hợp tác của bạn.
mtuanbk
email: mtuan@itims.edu.vn
tel: (04) 8 68 07 87 (xin 208)
ĐH Bách Khoa HN
Số 1, Đại Cồ Việt - Hà Nội

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Cam on anh truoc nghe.

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Tuấn
Chúc vui

Ah, có phải anh Tuấn đang làm ở DNA chip ở BK ko? Em là Hiếu ở ADT, IBT đây. Nếu phải thì cho em nhận ng quen với , nghe mọi ng nói đề tài các anh chị tiến triển tốt lắm đúng ko? chúc mừng trước nhé. Hì hì, em cũng sẽ cố tìm đọc tài liệu để về xin 1 chân trong nhóm của anh chị đấy .