ライフサイエンスコーパス: gene chip

1 transcriptome using a zebrafish whole genome gene chip.

2 nuclear cells were quantified via microarray gene chips.

3 ses of growth using Affymetrix NimbleExpress gene chips.

4 mas from 129 patients using Affymetrix U133A gene chips.

5 owth and used to probe Affymetrix Drosophila gene chips.

6 ssion by hybridizing RNA to Affymetrix U133A gene chips.

7 easuring lymphocyte diversity directly using gene chips.

8 dised the cRNA against oligonucleotide-based gene chips.

9 tides were synthesized and used to clone the gene, chiP.

10 The combined use of gene fusions, gene chips, 2-D polyacrylamide gel electrophoresis, mass

11 h a learning task: place various probes on a gene chip, add a sample where the corresponding genes ar

12 ication followed by hybridization with U133A gene chips (Affymetrix).

13 DNA microarrays, or gene chips, allow surveys of gene expression, (i.e., mRN

14 Gene chip analyses of a CD95-stimulated tumor cell line

15 ery, oligonucleotide-based knockout studies, gene chip analyses of normal and perturbed development,

16 Gene chip analyses of three monocyte donors demonstrated

17 Microarray gene chip analyses revealed significant increases in the

18 Data from Affymetrix gene chip analysis and quantitative PCR also revealed in

19 Using gene chip analysis and the real-time quantitative PCR sy

20 required for Thr-457 phosphorylation from a gene chip analysis comparing genes up-regulated in MCF7

21 Affymetrix gene chip analysis in the three cell populations followi

22 A gene chip analysis of HepG2 cells transduced with virus

23 Gene chip analysis on yol002cDelta cells revealed that a

24 one of the three genes found from Affymetrix gene chip analysis related to glioma patient survival.

25 Characterization of the inflammation by gene chip analysis revealed abundant mast cell activity.

26 Gene chip analysis was applied to RNA from IFN-alpha-tre

27 ifferential hybridization techniques such as gene chip analysis, and the establishment of accurate no

28 Using an unbiased approach of gene chip analysis, we discovered that Flu significantly

29 Using gene chip analysis, we have found that arachidonic acid,

30 Here, using Affymetrix gene chip analysis, we show that reexpression of LGI1 in

31 fied a unique bladder T-IC gene signature by gene chip analysis.

32 Gene-chip analysis identified several AhR-dependent gene

33 s through a STAT-6-dependent mechanism using Gene-Chip analysis.

34 Genes were selected from Affymetrix Murine Gene-Chips analysis and subjected to functional classifi

35 Single-gene ChIP and genome-wide ChIP-sequencing (ChIP-seq) and

36 NA of the HCjE cells was hybridized to human gene chips and analyzed using commercial software.

37 global molecular analytical methods such as gene chips and proteomics.

38 sion of selected genes was verified by using gene chips and quantitative real-time PCR methods.

39 ression of selected genes was confirmed with gene chips and quantitative real-time PCR techniques.

40 ression of mRNA was analyzed with microarray gene chips and RT-PCR; protein by Western blotting and f

41 ld form the basis for improved approaches to gene-chip and recombinant DNA technologies and provide n

42 nucleotide microarrays (Affymetrix MG-U74AV2 gene chips) and time course kinetics to investigate gene

43 d, hybridized onto Affymetrix HG133 Plus 2.0 gene chips, and analyzed with an Affymetrix scanner.

44 mRNA expression was measured by Affymetrix gene chips, and differences were analyzed by local poole

45 lly expressed mRNAs by using gene bioarrays, gene chips, and real-time PCR procedures.

46 ility of a sequenced and annotated genome, a gene-chip, and proteomic profile as well as comparative

47 Furthermore, gene chip annotation and development needs to maintain p

48 arious new strategies for DNA biosensors and gene chips are examined, along with recent trends and fu

49 Nature's gene-chips are thus both parsimonious and elegant.

50 Using a gene chip array to investigate the pro-malignant phenoty

51 ormed with the use of the Affymetrix 10K 2.0 Gene-chip array on DNA from 185 diagnostic FL patients t

52 n of cultured human TM cells was tested with gene chip arrays and verified with ELISA, and its effect

53 Microarray analysis with 40 000 cDNA gene chip arrays determined differential gene expression

54 ew imaging techniques, molecular markers and gene chip arrays hold promise for future risk assessment

55 Gene chip arrays may further refine risk assessment and

56 Gene chip arrays were used to identify differential gene

57 root ganglia (DRG) neurons using Affymetrix gene chip arrays.

58 expression were analyzed by using Affymetrix Gene-Chip arrays, and data were validated by using rever

59 Mouse Gene-Chips, combined with Ingenuity Pathway software, we

60 Gene-chips contain thousands of nucleotide sequences tha

61 high density Affymetrix MG_U74Av2 microarray gene chips containing 12,488 cDNA/Expressed Sequence Tag

62 licate to high density Affymetrix microarray gene chips containing a series of 13,179 cDNA/expressed

63 In addition, the gene chip data reveal the Cpx stress pathway is activate

64 Here, from our gene chip data, we show that after a 24 h exposure to Uc

65 ide polymorphisms based on an Affymetrix 6.0 Gene Chip dataset of 564 German sarcoidosis cases, inclu

66 We used gene chip, differential display, fluorescence-activated

67 ts, such as those generated by microarray or gene chip experiments, typically have significant noise

68 s mutant embryos to use in DNA microarray or gene-chip experiments, (2) the need for large amounts of

69 Gene chip expression analysis revealed that, contrary to

70 For several of these genes, the gene chip findings were confirmed by RNase protection as

71 targeted cell cycle regulation and apoptosis gene chip (GEArrayTM).

72 The advent of gene chips has led to a promising technology for cell, t

73 using fetal baboon RNA with human Affymetrix gene chips have been published.

74 Microarray analysis identified 372 and 115 gene chip IDs as up- and downregulated, respectively, by

75 expression was analyzed by hybridization to gene chips in triplicate (Mu74Av2; Affymetrix, Santa Cla

76 novel genes that are crucial to the overall gene chips interpretation.

77 While the use of DNA biosensors and gene chips is at an early stage, such devices are expect

78 Like these gene-chips, major histocompatibility complex (MHC) class

79 tance of YidC for cellular functions using a gene chip method to compare the transcriptomes of JS71 (

80 croarray sequencing using the Affymetrix p53 gene chip methodology.

81 In a post-gene chip microarray effort to identify new target genes

82 lasts, and skin substitutes using Affymetrix gene chip microarrays.

83 with three data sets using Affymetrix U133 + gene chips on normal human colonic mucosa (NR), adenomas

84 s produced by cDNA microarray and Affymetrix gene-chip platforms.

85 ble multi-tissue RNA expression signature by gene-chip profiling tissue from sedentary normal subject

86 rated by different techniques (e.g. SAGE and gene chips), provide various representations of the yeas

87 ed using Affymetrix mouse 11K and human 6800 gene chip(R) array technology.

88 actor autotaxin, as determined by Affymetrix gene chip, real-time quantitative RT-PCR and immunoblot

89 herosclerotic descending aorta by Affymetrix gene chips suggested that 139 genes were significantly r

90 The development of this 'gene chip' technique heralds a new era of studies that p

91 It is hoped that application of gene chip technologies will address the global profile o

92 Recent genetic approaches including gene chip technology have been used to elucidate the gen

93 Gene chip technology is still a relatively new technolog

94 Microarray and gene chip technology provide high throughput tools for m

95 ess this scientific issue through the use of gene chip technology to identify clock-regulated genes i

96 We have used Affymetrix gene chip technology to look for changes in gene express

97 Metagene analysis with gene chip technology was performed on 326 CRCs, which we

98 ules, and using Affymetrix (Santa Clara, CA) gene chip technology, altered gene expression of differe

99 Using Affymetrix gene chip technology, we first identified that PGF2alpha

100 Using gene chip technology, we isolated a murine gene, designa

101 n cellular mRNA accumulation was analyzed by gene chip technology.

102 We used a custom microarray gene chip to characterize gene expression responses of a

103 les were analyzed using the Affymetrix mouse gene chip U74Av2.

104 ocyte receptors to the oligonucleotides on a gene chip varies in direct proportion to diversity.

105 METHODS Gene expression data (gene chips) was generated from fine-needle aspiration bi

106 study, a commercially available assay-Bovine Gene Chip-was used to compare cellular gene expression i

107 Gene chips were used to create a molecular portrait of t

108 lloped, mastermind, and a previously unknown gene, Chip, were isolated.

109 operation and applications of biosensors and gene chips, which provide fast, sensitive and selective