1 n with promoter microarrays (ChIP-chip), and
transcriptome profiling.
2 cing of long-insert genomic DNA with matched
transcriptome profiling.
3 ive strategies, based on genome analysis and
transcriptome profiling.
4 n different rat cell types followed by whole-
transcriptome profiling.
5 by standard in vitro and in vivo assays and
transcriptome profiling.
6 d were used to conduct ATH1 microarray-based
transcriptome profiling.
7 q experiments have shown great potential for
transcriptome profiling.
8 vidence for advanced molecular maturation by
transcriptome profiling.
9 pathogen and documented these differences by
transcriptome profiling.
10 d the effects of its deletion by genome-wide
transcriptome profiling.
11 mutant was used to define the Fur regulon by
transcriptome profiling.
12 phenotypic analysis ("phenome mapping") and
transcriptome profiling.
13 l expression analysis, but also quantitative
transcriptome profiling.
14 NA transcription, we performed mitochondrial
transcriptome profiling.
15 four decades have repeatedly revolutionized
transcriptome profiling.
16 n has been difficult using traditional, bulk
transcriptome profiling.
17 logical, blood/urine biochemical changes and
transcriptome profiling.
18 By
transcriptome profiling,
a divergent stress response was
19 These data sets include
transcriptome profiling across a developmental time cour
20 Transcriptome profiling also shows HOXA1's ability to po
21 By combining genome-wide
transcriptome profiling and a loss-of-function screen us
22 ncing of cDNA (RNA-seq) is a widely deployed
transcriptome profiling and annotation technique, but qu
23 Here, we used a total
transcriptome profiling and bioinformatic analysis appro
24 Integrated
transcriptome profiling and biotin-affinity miRNA pull-d
25 Genome-wide
transcriptome profiling and chromatin immunoprecipitatio
26 kdown experiments, alpha-amanitin treatment,
transcriptome profiling and chromatin immunoprecipitatio
27 Through
transcriptome profiling and combined gain- and loss-of-f
28 ng a promising replacement to microarrays in
transcriptome profiling and differential gene expression
29 Further microarray-based
transcriptome profiling and gene-specific cDNA-pyroseque
30 Transcriptome profiling and global analyses of ETV1-bind
31 Using a combination of RNAi knockdown,
transcriptome profiling and iCLIP, we find that Matrin3
32 Transcriptome profiling and inhibitor studies suggest th
33 The results of
transcriptome profiling and mutagenesis experiments, how
34 Results of comparative
transcriptome profiling and promoter-recruitment studies
35 gh analysis of phylogeny, gene organization,
transcriptome profiling and protein modeling was perform
36 hism (SNP) arrays), gene expression data (by
transcriptome profiling and quantitative PCR (qPCR)) and
37 Global
transcriptome profiling and RNA target analysis uncovere
38 We used comprehensive
transcriptome profiling and systems biology analysis to
39 pluripotent cells (iPS), in conjunction with
transcriptome profiling and whole-genome sequencing, wil
40 in engineering, metabolic engineering, whole-
transcriptome profiling,
and proteomics for the degradat
41 uld also be useful for other high-throughput
transcriptome profiling applications requiring iterative
42 Comparative
transcriptome profiling at 24 h revealed that infloresce
43 xt-generation sequencing") should facilitate
transcriptome profiling at an unprecedented resolution.
44 eq has proven to be a powerful technique for
transcriptome profiling based on next-generation sequenc
45 sequencing (RNA-Seq) is a powerful tool for
transcriptome profiling,
but is hampered by sequence-dep
46 Transcriptome profiling by custom microarrays revealed t
47 mRNA from cell collections was subjected to
transcriptome profiling by microarray followed by quanti
48 rder, and the messenger RNA was subjected to
transcriptome profiling by microarray.
49 S cells from newly matured second leaves for
transcriptome profiling by RNA sequencing.
50 Transcriptome profiling,
chromatin accessibility, and RN
51 Genome-wide
transcriptome profiling combined with 5'-RLM-RACE analys
52 We report here the results of a
transcriptome profiling comparing cells treated with H(2
53 Transcriptome profiling confirms the progressive establi
54 Isolated ICC-SCs were studied by
transcriptome profiling,
cytokine assays, flow cytometry
55 A combination of oocyte
transcriptome profiling data, expression correlation ana
56 Analysis of four large-scale
transcriptome profiling datasets illustrates that varian
57 Transcriptome profiling demonstrated similar expression
58 ta-mediated mechanisms reported in MSCs; and
transcriptome profiling did not support a relationship b
59 PsrR1, a finding supported by the results of
transcriptome profiling experiments upon pulsed overexpr
60 Transcriptome profiling experiments were used to investi
61 d oligodendrocytes from previously published
transcriptome profiling experiments.
62 Here, we present the results of
transcriptome-profiling experiments indicating the exist
63 Accordingly, using genome-wide (RNA-seq)
transcriptome profiling for each null strain, we show th
64 Capture
transcriptome profiling from FFPE revealed two oncogenic
65 METHODS AND Global
transcriptome profiling from murine myocardium exposed t
66 Here, through morphology analysis,
transcriptome profiling,
functional perturbations and ma
67 Transcriptome profiling has been used to identify genes
68 e expression programs but recent single-cell
transcriptome profiling has revealed considerable variat
69 Genome-wide
transcriptome profiling has uncovered an inventory of EI
70 Analyses of mutants and comparative
transcriptome profiling have led to the identification o
71 sive transcriptome was de novo assembled and
transcriptome profiling identified a set of differential
72 inatorial mapping of chromatin occupancy and
transcriptome profiling identified an E2F1- and E2F3B-dr
73 Stage-specific
transcriptome profiling identified differentially expres
74 Transcriptome profiling identifies a gene encoding a Zn-
75 Through
transcriptome profiling in 17 hematopoietic cell types,
76 ort here simultaneous multitaxon genome-wide
transcriptome profiling in a naturally occurring picopla
77 ale, methodology and translational impact of
transcriptome profiling in cancer.
78 Transcriptome profiling in control and FOSL1 knockdown c
79 However,
transcriptome profiling in Dusp4-deficient mice showed t
80 Transcriptome profiling in hiPSC-CMs from seven individu
81 Here, we performed systematic chromatin and
transcriptome profiling in human pancreatic islets.
82 Accordingly, we performed hepatic
transcriptome profiling in mice after FOXO1 knockdown in
83 Here, we applied a novel systems approach to
transcriptome profiling in postmortem human brains and g
84 We have used
transcriptome profiling in the mouse to identify a netwo
85 Whole genome sequencing and
transcriptome profiling,
in combination with analysis of
86 Comparison with
transcriptome profiling indicated that most APA regulato
87 Transcriptome profiling indicated that Sox11 activates g
88 Parallel, large-scale
transcriptome profiling indicated that three peroxidases
89 Genome-wide
transcriptome profiling indicates that transcript levels
90 RNA-seq, a massive parallel-sequencing-based
transcriptome profiling method, provides digital data in
91 Through
transcriptome profiling,
mutant analyses and transgenic
92 by stratifying cell subpopulations based on
transcriptome profiling of 144 single LNCaP prostate can
93 We used
transcriptome profiling of 46 primary melanomas, 12 mela
94 Furthermore,
transcriptome profiling of bifidobacterial genomes suppo
95 The genome-wide
transcriptome profiling of cancerous and normal tissue s
96 We performed
transcriptome profiling of coding and long noncoding tra
97 arallel signature sequencing for genome-wide
transcriptome profiling of complex genomes.
98 e feature polymorphisms (SFP) in swine using
transcriptome profiling of day 25 placental RNA by contr
99 Transcriptome profiling of E2F-2-null, mature erythrobla
100 Transcriptome profiling of Erg-deficient ECs identified
101 We demonstrated
transcriptome profiling of Escherichia coli with more ac
102 Whole-
transcriptome profiling of fetal and adult B cell progen
103 Here, using
transcriptome profiling of healthy human male skin, we d
104 Transcriptome profiling of infected maize plants indicat
105 Whole
transcriptome profiling of isolated CSCs was performed t
106 Transcriptome profiling of JUB1 overexpressors revealed
107 Interestingly,
transcriptome profiling of K14CreERT;DLX3(fl/fl) epiderm
108 Transcriptome profiling of Lrig1(+) colonic stem cells d
109 Transcriptome profiling of microdissected stromal and ep
110 Fs ORA47, RAP2.6L, MYB59, and ANAC055, using
transcriptome profiling of overexpressors and mutants, p
111 performed SOX9 ChIP sequencing analysis and
transcriptome profiling of PCa cells and determined that
112 Here we develop a new method for total
transcriptome profiling of plasma-derived EVs by next ge
113 By single-cell
transcriptome profiling of pre-GMs, we identified distin
114 Here, we combined
transcriptome profiling of proliferative leaf tissue wit
115 Transcriptome profiling of Ptf1a-misexpressing cells usi
116 Here, global
transcriptome profiling of RA macrophages revealed that
117 Transcriptome profiling of Rbm17-deficient and control n
118 Transcriptome profiling of single cells resident in thei
119 This protocol enables
transcriptome profiling of specific cell or tissue types
120 Transcriptome profiling of spleens from the triple pepti
121 Transcriptome profiling of the discovery set revealed th
122 Transcriptome profiling of the Mcs6-as mutant in the pre
123 aride linkage analysis, immuno-labeling, and
transcriptome profiling of the SAM to provide a spatiote
124 Transcriptome profiling of the same tissue revealed that
125 Through
transcriptome profiling of the Schizosaccharomyces pombe
126 RNAseq-based
transcriptome profiling of treatment effects in gas-1(fc
127 A whole-genome
transcriptome profiling of tumors produced by all three
128 Single-cell
transcriptome profiling of tumour tissue isolates allows
129 Transcriptome profiling of wild-type and variant CARD14
130 Genome-wide methylome- and
transcriptome-profiling of intestinal epithelial cells (
131 We have conducted
transcriptome-profiling of leaves and young inflorescenc
132 We first undertook
transcriptome profiling on adrenal glands from blood pre
133 In silico target prediction,
transcriptome profiling on pulse overexpression, and sit
134 function during embryogenesis, we performed
transcriptome profiling on whole mouse embryos.
135 l, we describe the 17-bp longSAGE method for
transcriptome profiling optimized for a small amount of
136 Metabolite and
transcriptome profiling over a developmental time course
137 recent developments in islet (epi)genome and
transcriptome profiling (
particularly single cell analys
138 Here, we describe sequencing-based
transcriptome profiling,
providing comprehensive analysi
139 Comparing our
transcriptome profiling results to an earlier ribosome f
140 Genome-wide 6mA and
transcriptome profiling reveal an inverse association be
141 Genome-wide occupancy mapping and
transcriptome profiling reveal that nuclear TAZ/YAP prom
142 Transcriptome profiling revealed 349 hits with a 2-fold
143 Transcriptome profiling revealed a broader fruit gene ex
144 Whole-
transcriptome profiling revealed ArT cleaves 50 addition
145 Whole
transcriptome profiling revealed down regulation of NF-k
146 eration, invasion and migration in vitro and
transcriptome profiling revealed effects on expression o
147 Transcriptome profiling revealed extensive expression va
148 Finally, single-cell
transcriptome profiling revealed genes differentially re
149 Single-cell
transcriptome profiling revealed progressive age-depende
150 Single-cell
transcriptome profiling revealed that Lgr5+ cells adopt
151 Macrophage
transcriptome profiling revealed that M. tuberculosis in
152 Moreover, blood
transcriptome profiling revealed that mutant monkeys res
153 Whole-
transcriptome profiling revealed that the deletion of th
154 cells was physiologically relevant: unbiased
transcriptome profiling revealed that the inflammatory c
155 Transcriptome profiling revealed that transcription fact
156 Whole-
transcriptome profiling revealed YjgK represses fimbria
157 Global gene expression (
transcriptome) profiling revealed that the induction of
158 ome-occupancy analyses in mice, coupled with
transcriptome profiling,
revealed that Chd7 interacted w
159 Transcriptome profiling reveals a gene expression signat
160 ase is required for branching morphogenesis,
transcriptome profiling reveals a key role for MMP14 and
161 Transcriptome profiling (
RNA-seq) of KF147 identified 85
162 Unexpectedly,
transcriptome profiling showed that EZH2 primarily activ
163 Transcriptome profiling showed that nuclear Rbfox1 rescu
164 Transcriptome profiling shows that expressing an unphosp
165 At the molecular level, our unbiased
transcriptome profiling shows that Msi2 represses Hedgeh
166 Transcriptome profiling studies demonstrated reproducibl
167 Transcriptome profiling studies have produced staggering
168 Transcriptome profiling studies have recently uncovered
169 Transcriptome profiling studies in flies and mammals ide
170 Transcriptome profiling studies suggest that a large fra
171 We conducted extensive
transcriptome profiling studies to characterize and to c
172 Based on a recently performed
transcriptome profiling study, the expression pattern of
173 Transcriptome profiling suggests that acute inflammatory
174 RNA-Seq is a recently developed approach to
transcriptome profiling that uses deep-sequencing techno
175 RNA sequencing is a method of
transcriptome profiling that utilizes next-generation se
176 Transcriptome profiling through RNA sequencing showed th
177 Here, we use
transcriptome profiling to demonstrate that deficiency i
178 ve integrated these data with the results of
transcriptome profiling to distinguish metabolomic pathw
179 First, we employed
transcriptome profiling to identify genes that were indu
180 We utilized
transcriptome profiling to identify the P. aeruginosa So
181 The application of RNA-Seq based
transcriptome profiling to structural gene annotation he
182 were generated from woody tissue and include
transcriptome profiling,
transcription factor binding, D
183 Whole-
transcriptome profiling using deep RNA sequencing reveal
184 By
transcriptome profiling using next-generation sequencing
185 we combined tissue metal analysis with whole-
transcriptome profiling using RNA-seq on an Illumina pla
186 Transcriptome profiling via cDNA microarray analysis ide
187 Transcriptome profiling was conducted to detect genes wh
188 A whole-miRNA
transcriptome profiling was performed in peripheral bloo
189 Transcriptome profiling was performed on hepatocyte RNA
190 To characterize the PpsR regulon,
transcriptome profiling was performed on the wild-type s
191 e-guanine (CpG) islands and 485,000 CpG, and
transcriptome profiling was performed with Affymetrix Hu
192 In the present study, global
transcriptome profiling was used to determine the extent
193 Global
transcriptome profiling was used to evaluate if these tw
194 Using whole
transcriptome profiling we found that in the presence of
195 Through global
transcriptome profiling,
we attempted to discover the mo
196 Using mRNA sequencing for
transcriptome profiling,
we demonstrate that expression
197 By RNA sequencing
transcriptome profiling,
we identified ATG9 as one of th
198 Histone modification and
transcriptome profiling were performed using adult prima
199 Spectroscopic analyses and
transcriptome profiling were used to examine the mechani
200 The key findings from the
transcriptome profiling were validated with qPCR and flo
201 has been successfully used for deep-coverage
transcriptome profiling,
which is a particularly effecti
202 adipose tissue function was interrogated by
transcriptome profiling with cDNA microarrays.
203 oped genetical genomics method that combines
transcriptome profiling with complex trait analysis now
204 We previously used
transcriptome profiling with DNA microarrays to identify
205 Here, by combining
transcriptome profiling with TAL effector-binding elemen