ライフサイエンスコーパス: serial analysis of gene expression

1 tion-specific digital karyotyping) and SAGE (serial analysis of gene expression).

2 ion changes in JNK2-deprived PC3 cells using Serial Analysis of Gene Expression.

3 cancer through studies with cDNA arrays and serial analysis of gene expression.

4 nes, for example microarray hybridization or serial analysis of gene expression.

5 nome, herein called the transcriptome, using serial analysis of gene expression.

6 ea infection was conducted using robust-long serial analysis of gene expression.

7 tumor-associated marker in ovarian cancer by serial analysis of gene expression.

8 in the two major thymocyte lineages by using serial analysis of gene expression.

9 chloroquine for 6 h, confirming results from Serial Analysis of Gene Expression.

10 nt human medulloblastomas were counted using serial analysis of gene expression.

11 Among 9,954 unique transcripts identified by serial analysis of gene expression, 34 were increased mo

12 ed in carcinoma of the stomach, we performed serial analysis of gene expression analyses on dissected

13 By SAGE (serial analysis of gene expression) analysis, we identif

14 mary cultures of normal ductal epithelium by serial analysis of gene expression and by immunohistoche

15 Ovachip, contains 516 cDNAs chosen from our serial analysis of gene expression and cDNA array studie

16 New techniques, such as serial analysis of gene expression and cDNA microarrays,

17 diverse sources: public expression data from serial analysis of gene expression and digital different

18 These data from serial analysis of gene expression and gene microarray s

19 In this study, we applied serial analysis of gene expression and identified growth

20 ncing have inhibited the wide application of serial analysis of gene expression and massively paralle

21 (U133 oligonucleotide arrays, cDNA arrays or serial analysis of gene expression), and 6 of these gene

22 ize the expression of 12 genes identified by serial analysis of gene expression as highly expressed i

23 mbines the chromatin immunoprecipitation and serial analysis of gene expression assays, we have recen

24 SAGE (Serial Analysis of Gene Expression) can be used to estim

25 Serial analysis of gene expression confirmed that cells

26 his study, hierarchical clustering of public serial analysis of gene expression data showed that aden

27 Analysis of serial analysis of gene expression data suggested deregu

28 Integration of microRNA microarray with serial analysis of gene expression data together with bi

29 Comparison with our serial analysis of gene expression database of human gas

30 ational Center for Biotechnology Information Serial Analysis of Gene Expression database, we found th

31 SAGE (serial analysis of gene expression) detects transcripts

32 Serial analysis of gene expression followed by pathway a

33 Serial analysis of gene expression from aggressive mamma

34 Recent studies using serial analysis of gene expression have cast doubt on th

35 Long serial analysis of gene expression identified several di

36 ntified as a highly androgen-induced gene by serial analysis of gene expression in androgen-treated L

37 We performed a serial analysis of gene expression in both human and mur

38 ied global patterns of gene expression using serial analysis of gene expression in pancreatic cancer,

39 nges in genetic transcripts by the method of serial analysis of gene expression in the RBL-2H3 line o

40 licated steps in comparative methods such as serial analysis of gene expression (including the format

41 SAGE (serial analysis of gene expression) is a remarkable tech

42 Serial analysis of gene expression libraries of two norm

43 294,920 tags representing 77,746 genes in 10 serial analysis of gene expression libraries were analyz

44 iofacial structures, we constructed 12 SAGE (serial analysis of gene expression) libraries and sequen

45 etermined by sequencing the respective SAGE (Serial Analysis of Gene Expression) libraries.

46 or concatenating short sequence tags for any serial analysis of gene expression-like techniques.

47 he development of such a method--called long serial analysis of gene expression (LongSAGE), an adapti

48 Using the serial analysis of gene expression method (SAGE), we obs

49 ed by standard gene expression microarray or serial analysis of gene expression methods, were detecte

50 eloped an experimental approach called miRNA serial analysis of gene expression (miRAGE) and used it

51 Serial analysis of gene expression of 240 different huma

52 amate decarboxylase previously identified in serial analysis of gene expression of corneal endotheliu

53 Serial analysis of gene expression of the bone marrow HS

54 ssociated with estrogen action, we performed serial analysis of gene expression on estrogen-responsiv

55 regulated genes in such models, we performed serial analysis of gene expression on neuronal PC12 cell

56 genes (for example, differential display or serial analysis of gene expression), or alternatively as

57 Furthermore serial analysis of gene expression profiling demonstrate

58 Serial analysis of gene expression provides quantitative

59 Selected serial analysis of gene expression results were further

60 Serial analysis of gene expression (SAGE) allows for a q

61 We determined, by serial analysis of gene expression (SAGE) analysis of no

62 te the strength of combining two approaches, serial analysis of gene expression (SAGE) and DNA arrays

63 well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spect

64 We used serial analysis of gene expression (SAGE) and microarray

65 bstructive pulmonary disease (COPD), we used serial analysis of gene expression (SAGE) and microarray

66 It has been 7 years since serial analysis of gene expression (SAGE) and microarray

67 es expressed by mammalian rods, we conducted serial analysis of gene expression (SAGE) by using libra

68 Serial analysis of gene expression (SAGE) can be used to

69 We examined Serial Analysis of Gene Expression (SAGE) data for 14 ti

70 nd analyzed gene expression levels using the serial analysis of gene expression (SAGE) data in all 13

71 e developed a method combining array CGH and serial analysis of gene expression (SAGE) data to correl

72 Using our serial analysis of gene expression (SAGE) data, as well

73 Using public Serial Analysis of Gene Expression (SAGE) data, we found

74 f single bipolar cells and mining of retinal serial analysis of gene expression (SAGE) data.

75 a access and analysis, WWW and FTP sites for serial analysis of gene expression (SAGE) data.

76 the public expressed sequence tag (EST) and serial analysis of gene expression (SAGE) databases resu

77 ion in both expressed sequence tag (EST) and serial analysis of gene expression (SAGE) databases was

78 Serial analysis of gene expression (SAGE) demonstrated t

79 cDNA sequences identified as tags by use of serial analysis of gene expression (SAGE) do not match t

80 d complementary techniques of microarray and serial analysis of gene expression (SAGE) for genetic pr

81 Here, we discuss the application of serial analysis of gene expression (SAGE) for this purpo

82 rresponding mRNA levels were calculated from serial analysis of gene expression (SAGE) frequency tabl

83 New modifications of serial analysis of gene expression (SAGE) have now permi

84 xamine gene expression profiles generated by serial analysis of gene expression (SAGE) in a total of

85 tically analyzed gene expression profiles by serial analysis of gene expression (SAGE) in freshly iso

86 Serial analysis of gene expression (SAGE) is a method fo

87 Serial analysis of gene expression (SAGE) is a method us

88 Serial Analysis of Gene Expression (SAGE) is a powerful

89 Serial analysis of gene expression (SAGE) is a powerful

90 Serial Analysis of Gene Expression (SAGE) is a powerful

91 Serial analysis of gene expression (SAGE) is a widely us

92 Serial Analysis of Gene Expression (SAGE) is an innovati

93 Serial Analysis of Gene Expression (SAGE) is becoming a

94 We have generated serial analysis of gene expression (SAGE) libraries from

95 Serial analysis of gene expression (SAGE) libraries gene

96 Serial analysis of gene expression (SAGE) libraries of t

97 A training set of 11 serial analysis of gene expression (SAGE) libraries was

98 Serial analysis of gene expression (SAGE) libraries were

99 to classify cell sensitivity to this agent, serial analysis of gene expression (SAGE) libraries were

100 bining the cDNA library data with the latest Serial Analysis of Gene Expression (SAGE) library data d

101 UniGene/EST approach was then combined with serial analysis of gene expression (SAGE) library subtra

102 We used the serial analysis of gene expression (SAGE) method to syst

103 The Serial Analysis of Gene Expression (SAGE) method, descri

104 unbiased, quantitative measure, we performed serial analysis of gene expression (SAGE) on CD15(+) mye

105 NB cell lines that was discovered based on a serial analysis of gene expression (SAGE) profile of the

106 understand the NGF mechanism, we carried out serial analysis of gene expression (SAGE) profiling of t

107 Serial analysis of gene expression (SAGE) provides a glo

108 Serial analysis of gene expression (SAGE) provides an al

109 omprehensive web-based database generated by Serial Analysis of Gene Expression (SAGE) representing m

110 pite the success of microarray technologies, serial analysis of gene expression (SAGE) still remains

111 We identified 42,399 unique serial analysis of gene expression (SAGE) tags among 106

112 the generation of longer cDNA fragments from serial analysis of gene expression (SAGE) tags for gene

113 ng sequences of full-length cDNAs, ESTs, and serial analysis of gene expression (SAGE) tags, and perf

114 We used the serial analysis of gene expression (SAGE) technique to c

115 By using the serial analysis of gene expression (SAGE) technique, we

116 mined their in vivo transcriptomes using the serial analysis of gene expression (SAGE) technique.

117 rodent genes measured by cDNA microarray and serial analysis of gene expression (SAGE) techniques.

118 We found through serial analysis of gene expression (SAGE) that manganese

119 makes use of the methodology that underlies serial analysis of gene expression (SAGE) to analyze mut

120 gene expression is affected by Pti4, we used serial analysis of gene expression (SAGE) to compare tra

121 The use of serial analysis of gene expression (SAGE) to determine g

122 determination of limb identity, we have used Serial Analysis of Gene Expression (SAGE) to generate co

123 Here, we have used serial analysis of gene expression (SAGE) to generate gl

124 To initiate this process, we used serial analysis of gene expression (SAGE) to identify ge

125 Here, we employed serial analysis of gene expression (SAGE) to identify ma

126 We have used serial analysis of gene expression (SAGE) to investigate

127 of adult C57BL/6 mouse heart (AMH), we used serial analysis of gene expression (SAGE) to sequence a

128 yonic stem (ES) cells, we used the method of serial analysis of gene expression (SAGE) to sequence a

129 sed on gene-expression profiles generated by serial analysis of gene expression (SAGE) using primary

130 Serial analysis of gene expression (SAGE) was applied to

131 To find new markers, serial analysis of gene expression (SAGE) was done on th

132 Serial analysis of gene expression (SAGE) was performed

133 Serial analysis of gene expression (SAGE) was performed

134 Serial analysis of gene expression (SAGE) was used to de

135 Consecutive application of PCR and serial analysis of gene expression (SAGE) was used to ge

136 Serial analysis of gene expression (SAGE) was used to ob

137 Serial analysis of gene expression (SAGE) was used to qu

138 ic adenocarcinomas and normal stomach, using serial analysis of gene expression (SAGE), and compared

139 data from expressed sequence tags (ESTs) and serial analysis of gene expression (SAGE), are also incl

140 omic approaches, such as DNA microarrays and serial analysis of gene expression (SAGE), have enabled

141 he retina, including Northern blot analysis, serial analysis of gene expression (SAGE), immunohistoch

142 Through serial analysis of gene expression (SAGE), we determined

143 Using serial analysis of gene expression (SAGE), we have ident

144 Using serial analysis of gene expression (SAGE), we identified

145 predominantly CD8+) gammadelta T cells using serial analysis of gene expression (SAGE).

146 he Cancer Genome Anatomy Project (CGAP) uses serial analysis of gene expression (SAGE).

147 and prostate cancer tissues was analyzed by serial analysis of gene expression (SAGE).

148 itu (DCIS) mammary epithelial cells by using serial analysis of gene expression (SAGE).

149 sive, and metastatic breast carcinomas using serial analysis of gene expression (SAGE).

150 r managing and analysing data generated with Serial Analysis of Gene Expression (SAGE).

151 odissection and transcriptional profiling by serial analysis of gene expression (SAGE).

152 h the generation of sequence tags similar to serial analysis of gene expression (SAGE).

153 e left and right embryonic hemispheres using serial analysis of gene expression (SAGE).

154 pithelia derived from kidney and liver using serial analysis of gene expression (SAGE).

155 ion technologies such as cDNA microarrays or serial analysis of gene expression (SAGE).

156 on PCR and are sequenced directly or through serial analysis of gene expression (SAGE); and (v) the i

157 protein (GILZ), was previously identified by serial analysis of gene expression (SAGE); however, its

158 , and 9 had good correlation with normalized serial analysis of gene expression tag counts.

159 errepresented transcripts for which reliable serial analysis of gene expression tags were detected an

160 A total of 83,382 distinct 21-bp robust-long serial analysis of gene expression tags were identified

161 xpression in Saccharomyces cerevisiae by the serial analysis of gene expression technique has permitt

162 By using serial analysis of gene expression technique, p53-induce

163 arterectomy and normal subjects by using the serial analysis of gene expression technique.

164 We utilized SAGE (Serial Analysis of Gene Expression) technology to identi

165 We have used serial analysis of gene expression to compare the transc

166 We used serial analysis of gene expression to identify new NGF-r

167 We have used serial analysis of gene expression to measure transcript

168 This database uses serial analysis of gene expression to quantify transcrip

169 In fact, we have previously utilized SAGE (serial analysis of gene expression) to identify abundant

170 We have identified, using serial analysis of gene expression, transcripts that are

171 rified by comparison with results of retinal serial analysis of gene expression, U74Av2 array studies

172 Serial analysis of gene expression was used to analyze g

173 Serial Analysis of Gene Expression was used to define nu

174 Serial analysis of gene expression was used to identify

175 Serial analysis of gene expression was used to profile t

176 s of our previous observations obtained from serial analysis of gene expression, we have constructed

177 Using serial analysis of gene expression, we have identified t

178 Using serial analysis of gene expression, we show that IL-10 p

179 The abnormal expression levels predicted by serial analysis of gene expression were confirmed by qua