1 eralized approach to pathogen sequencing and
transcriptome profiling.
2 vidence for advanced molecular maturation by
transcriptome profiling.
3 l expression analysis, but also quantitative
transcriptome profiling.
4 NA transcription, we performed mitochondrial
transcriptome profiling.
5 n has been difficult using traditional, bulk
transcriptome profiling.
6 logical, blood/urine biochemical changes and
transcriptome profiling.
7 n with promoter microarrays (ChIP-chip), and
transcriptome profiling.
8 cing of long-insert genomic DNA with matched
transcriptome profiling.
9 ive strategies, based on genome analysis and
transcriptome profiling.
10 n different rat cell types followed by whole-
transcriptome profiling.
11 by standard in vitro and in vivo assays and
transcriptome profiling.
12 d were used to conduct ATH1 microarray-based
transcriptome profiling.
13 s, reproducibility, and consistency of whole
transcriptome profiling.
14 q experiments have shown great potential for
transcriptome profiling.
15 pathogen and documented these differences by
transcriptome profiling.
16 d the effects of its deletion by genome-wide
transcriptome profiling.
17 mutant was used to define the Fur regulon by
transcriptome profiling.
18 phenotypic analysis ("phenome mapping") and
transcriptome profiling.
19 chromatin immunoprecipitation sequencing and
transcriptome profiling.
20 e analyzed using whole-genome sequencing and
transcriptome profiling.
21 four decades have repeatedly revolutionized
transcriptome profiling.
22 By
transcriptome profiling,
a divergent stress response was
23 These data sets include
transcriptome profiling across a developmental time cour
24 l fibroblasts were characterized using whole
transcriptome profiling,
alpha smooth muscle actin (ASMA
25 Transcriptome profiling also shows HOXA1's ability to po
26 Transcriptome profiling analyses indicated that perceive
27 Morphogenetic and
transcriptome profiling analyses reveal that these blast
28 Through
transcriptome profiling analysis we identified five MYB
29 By combining genome-wide
transcriptome profiling and a loss-of-function screen us
30 s highly multiplexed protein quantification,
transcriptome profiling and analysis of chromatin access
31 ncing of cDNA (RNA-seq) is a widely deployed
transcriptome profiling and annotation technique, but qu
32 ere persistent asthma and controls for nasal
transcriptome profiling and applied network-based and pr
33 Here, we used a total
transcriptome profiling and bioinformatic analysis appro
34 Integrated
transcriptome profiling and biotin-affinity miRNA pull-d
35 kdown experiments, alpha-amanitin treatment,
transcriptome profiling and chromatin immunoprecipitatio
36 Genome-wide
transcriptome profiling and chromatin immunoprecipitatio
37 Through
transcriptome profiling and combined gain- and loss-of-f
38 ive approaches of genome editing, customized-
transcriptome profiling and crosslinking-mediated intera
39 ng a promising replacement to microarrays in
transcriptome profiling and differential gene expression
40 tegrating measurements of HOC load with both
transcriptome profiling and endocrine biomarkers, our ap
41 Sw-7 resistance, we performed a comparative
transcriptome profiling and gene expression analysis bet
42 Further microarray-based
transcriptome profiling and gene-specific cDNA-pyroseque
43 Transcriptome profiling and global analyses of ETV1-bind
44 Using a combination of RNAi knockdown,
transcriptome profiling and iCLIP, we find that Matrin3
45 st cancer (BC) cell lines by global proteome/
transcriptome profiling and identified two groups of bas
46 Transcriptome profiling and inhibitor studies suggest th
47 The results of
transcriptome profiling and mutagenesis experiments, how
48 Results of comparative
transcriptome profiling and promoter-recruitment studies
49 gh analysis of phylogeny, gene organization,
transcriptome profiling and protein modeling was perform
50 hism (SNP) arrays), gene expression data (by
transcriptome profiling and quantitative PCR (qPCR)) and
51 Global
transcriptome profiling and RNA target analysis uncovere
52 We used comprehensive
transcriptome profiling and systems biology analysis to
53 pluripotent cells (iPS), in conjunction with
transcriptome profiling and whole-genome sequencing, wil
54 Here we report the generation,
transcriptome profiling,
and functional validation of co
55 in engineering, metabolic engineering, whole-
transcriptome profiling,
and proteomics for the degradat
56 uld also be useful for other high-throughput
transcriptome profiling applications requiring iterative
57 Comparative
transcriptome profiling at 24 h revealed that infloresce
58 xt-generation sequencing") should facilitate
transcriptome profiling at an unprecedented resolution.
59 We performed
transcriptome profiling at different cell inputs and com
60 Temporal
transcriptome profiling at different repopulation stages
61 eq has proven to be a powerful technique for
transcriptome profiling based on next-generation sequenc
62 sequencing (RNA-Seq) is a powerful tool for
transcriptome profiling,
but is hampered by sequence-dep
63 Transcriptome profiling by custom microarrays revealed t
64 mRNA from cell collections was subjected to
transcriptome profiling by microarray followed by quanti
65 rder, and the messenger RNA was subjected to
transcriptome profiling by microarray.
66 improved TGIRT-seq methods for comprehensive
transcriptome profiling by rationally designing RNA-seq
67 S cells from newly matured second leaves for
transcriptome profiling by RNA sequencing.
68 In this study,
transcriptome profiling by RNA-seq analysis of hippocamp
69 ared to these regulome mapping technologies,
transcriptome profiling by RNA-seq is more widely used.
70 ve resulted inCLIP-seq datasets coupled with
transcriptome profiling by RNA-seq.
71 Transcriptome profiling can provide information of great
72 Transcriptome profiling,
chromatin accessibility, and RN
73 Genome-wide
transcriptome profiling combined with 5'-RLM-RACE analys
74 We report here the results of a
transcriptome profiling comparing cells treated with H(2
75 Transcriptome profiling confirms the progressive establi
76 djuvant chemotherapy (NAC), we conduct whole
transcriptome profiling coupled with histopathology anal
77 Isolated ICC-SCs were studied by
transcriptome profiling,
cytokine assays, flow cytometry
78 Moreover, the reanalysis of
transcriptome profiling data from previously published B
79 Moreover, the reanalysis of
transcriptome profiling data from several previously pub
80 In this study, aggregation of unbiased
transcriptome profiling data sets of minor salivary glan
81 A combination of oocyte
transcriptome profiling data, expression correlation ana
82 Application of this method on a large
transcriptome profiling dataset of 148 SLE patients and
83 Analysis of four large-scale
transcriptome profiling datasets illustrates that varian
84 Transcriptome profiling demonstrated similar expression
85 ta-mediated mechanisms reported in MSCs; and
transcriptome profiling did not support a relationship b
86 Transcriptome profiling displayed that TGF-beta pathway
87 Here, we use
transcriptome profiling during aging and find that accum
88 Whole-
transcriptome profiling during this formative transition
89 PsrR1, a finding supported by the results of
transcriptome profiling experiments upon pulsed overexpr
90 Transcriptome profiling experiments were used to investi
91 d oligodendrocytes from previously published
transcriptome profiling experiments.
92 Here, we present the results of
transcriptome-profiling experiments indicating the exist
93 Accordingly, using genome-wide (RNA-seq)
transcriptome profiling for each null strain, we show th
94 Capture
transcriptome profiling from FFPE revealed two oncogenic
95 METHODS AND Global
transcriptome profiling from murine myocardium exposed t
96 Here, through morphology analysis,
transcriptome profiling,
functional perturbations and ma
97 Whole-
transcriptome profiling further confirmed extensive pola
98 Transcriptome profiling further elucidated adaptations,
99 Transcriptome profiling has become routine in studies of
100 Transcriptome profiling has been used to identify genes
101 e expression programs but recent single-cell
transcriptome profiling has revealed considerable variat
102 Genome-wide
transcriptome profiling has uncovered an inventory of EI
103 Analyses of mutants and comparative
transcriptome profiling have led to the identification o
104 sive transcriptome was de novo assembled and
transcriptome profiling identified a set of differential
105 inatorial mapping of chromatin occupancy and
transcriptome profiling identified an E2F1- and E2F3B-dr
106 Stage-specific
transcriptome profiling identified differentially expres
107 Transcriptome profiling identified numerous Gas5-mediate
108 Methylome and
transcriptome profiling identified several inflammatory
109 Transcriptome profiling identifies a gene encoding a Zn-
110 DNA methylation and
transcriptome profiling implicated NF-kappaB, IL6, and T
111 Through
transcriptome profiling in 17 hematopoietic cell types,
112 ort here simultaneous multitaxon genome-wide
transcriptome profiling in a naturally occurring picopla
113 Transcriptome profiling in apical and basal root tissues
114 We performed
transcriptome profiling in Arabidopsis (Arabidopsis thal
115 ale, methodology and translational impact of
transcriptome profiling in cancer.
116 Transcriptome profiling in control and FOSL1 knockdown c
117 Global
transcriptome profiling in developing shoot apices and i
118 However,
transcriptome profiling in Dusp4-deficient mice showed t
119 Transcriptome profiling in hiPSC-CMs from seven individu
120 Here, we performed systematic chromatin and
transcriptome profiling in human pancreatic islets.
121 Accordingly, we performed hepatic
transcriptome profiling in mice after FOXO1 knockdown in
122 RNA-sequencing-based
transcriptome profiling in MM lines also demonstrated a
123 Here, we applied a novel systems approach to
transcriptome profiling in postmortem human brains and g
124 enables multiplexed amplicon sequencing and
transcriptome profiling in single cells.
125 We have used
transcriptome profiling in the mouse to identify a netwo
126 specific proteins together with simultaneous
transcriptome profiling in the same cell.
127 ifying genes, here we have carried out renal
transcriptome profiling in three distinct murine models
128 ic stem cell (LSC) fate, we performed global
transcriptome profiling in treatment-naive chronic myelo
129 Whole genome sequencing and
transcriptome profiling,
in combination with analysis of
130 Comparison with
transcriptome profiling indicated that most APA regulato
131 Transcriptome profiling indicated that Sox11 activates g
132 Parallel, large-scale
transcriptome profiling indicated that three peroxidases
133 Genome-wide
transcriptome profiling indicates that transcript levels
134 RNA-seq, a massive parallel-sequencing-based
transcriptome profiling method, provides digital data in
135 and subjected to comprehensive phenotyping,
transcriptome profiling,
molecular pathway identificatio
136 Through
transcriptome profiling,
mutant analyses and transgenic
137 s in myelofibrosis, we performed single-cell
transcriptome profiling of 135,929 CD34(+) lineage(-) he
138 by stratifying cell subpopulations based on
transcriptome profiling of 144 single LNCaP prostate can
139 Here, we show
transcriptome profiling of 21,422 single cells-including
140 We used
transcriptome profiling of 46 primary melanomas, 12 mela
141 Transcriptome profiling of a selected transgenic line sh
142 Here, using single-cell
transcriptome profiling of approximately 140,000 liver a
143 A recent
transcriptome profiling of B cells exposed to aflatoxin
144 Furthermore,
transcriptome profiling of bifidobacterial genomes suppo
145 The genome-wide
transcriptome profiling of cancerous and normal tissue s
146 We performed
transcriptome profiling of coding and long noncoding tra
147 tumor-suppressive role of TGFbeta signaling,
transcriptome profiling of colon tumors suggests minimal
148 arallel signature sequencing for genome-wide
transcriptome profiling of complex genomes.
149 Transcriptome profiling of cytokine-exposed beta-cells r
150 e feature polymorphisms (SFP) in swine using
transcriptome profiling of day 25 placental RNA by contr
151 Transcriptome profiling of dorsal root ganglia (DRGs) re
152 Transcriptome profiling of E2F-2-null, mature erythrobla
153 Here, we have conducted the first in-depth
transcriptome profiling of early floral development in A
154 Transcriptome profiling of Erg-deficient ECs identified
155 We demonstrated
transcriptome profiling of Escherichia coli with more ac
156 Whole-
transcriptome profiling of fetal and adult B cell progen
157 Through bulk and single-cell
transcriptome profiling of fetal osterix (Osx)-expressin
158 Here, using
transcriptome profiling of healthy human male skin, we d
159 we performed RNA sequencing (RNA-Seq) based
transcriptome profiling of hESC- and iPSC-derived lentoi
160 Transcriptome profiling of IL-1 receptor (IL-1R)-deplete
161 Through unbiased
transcriptome profiling of immature primary cortical neu
162 Transcriptome profiling of infected maize plants indicat
163 Whole
transcriptome profiling of isolated CSCs was performed t
164 Transcriptome profiling of JUB1 overexpressors revealed
165 Interestingly,
transcriptome profiling of K14CreERT;DLX3(fl/fl) epiderm
166 self-administer intravenous cocaine, we did
transcriptome profiling of LH MCH neurons after long-ter
167 Transcriptome profiling of light and dark-green bulks di
168 A 24-hr
transcriptome profiling of liver tissue identified 37 ro
169 Transcriptome profiling of Lrig1(+) colonic stem cells d
170 Transcriptome profiling of microdissected stromal and ep
171 Fs ORA47, RAP2.6L, MYB59, and ANAC055, using
transcriptome profiling of overexpressors and mutants, p
172 performed SOX9 ChIP sequencing analysis and
transcriptome profiling of PCa cells and determined that
173 Here we develop a new method for total
transcriptome profiling of plasma-derived EVs by next ge
174 By single-cell
transcriptome profiling of pre-GMs, we identified distin
175 eterminants of BMF, we performed single-cell
transcriptome profiling of primary HSPCs from FA patient
176 Here, we combined
transcriptome profiling of proliferative leaf tissue wit
177 Transcriptome profiling of Ptf1a-misexpressing cells usi
178 Here, global
transcriptome profiling of RA macrophages revealed that
179 Transcriptome profiling of Rbm17-deficient and control n
180 Transcriptome profiling of single cells resident in thei
181 This protocol enables
transcriptome profiling of specific cell or tissue types
182 Transcriptome profiling of spleens from the triple pepti
183 Bulk and single-cell
transcriptome profiling of T cells during therapy pointe
184 Transcriptome profiling of the discovery set revealed th
185 Furthermore,
transcriptome profiling of the hippocampus shows changes
186 By whole-genome
transcriptome profiling of the lung, we found that airwa
187 Transcriptome profiling of the Mcs6-as mutant in the pre
188 Furthermore,
transcriptome profiling of the MZ-KO embryos revealed th
189 aride linkage analysis, immuno-labeling, and
transcriptome profiling of the SAM to provide a spatiote
190 Transcriptome profiling of the same tissue revealed that
191 Through
transcriptome profiling of the Schizosaccharomyces pombe
192 trasting phenotypes, we carried out unbiased
transcriptome profiling of these two brain regions in wi
193 Transcriptome profiling of Tmem67 mutant cerebella ident
194 RNA-seq
transcriptome profiling of tomato, and experiments with
195 RNAseq-based
transcriptome profiling of treatment effects in gas-1(fc
196 A whole-genome
transcriptome profiling of tumors produced by all three
197 Single-cell
transcriptome profiling of tumour tissue isolates allows
198 ere, we complete whole genome sequencing and
transcriptome profiling of two widely used mouse models
199 Transcriptome profiling of wild-type and variant CARD14
200 Genome-wide methylome- and
transcriptome-profiling of intestinal epithelial cells (
201 We have conducted
transcriptome-profiling of leaves and young inflorescenc
202 We conducted
transcriptome profiling on 38 IPF subjects with time poi
203 We first undertook
transcriptome profiling on adrenal glands from blood pre
204 In silico target prediction,
transcriptome profiling on pulse overexpression, and sit
205 function during embryogenesis, we performed
transcriptome profiling on whole mouse embryos.
206 l, we describe the 17-bp longSAGE method for
transcriptome profiling optimized for a small amount of
207 Metabolite and
transcriptome profiling over a developmental time course
208 recent developments in islet (epi)genome and
transcriptome profiling (
particularly single cell analys
209 tometry, and in a subset of children RNA-Seq
transcriptome profiling performed.
210 Here, we describe sequencing-based
transcriptome profiling,
providing comprehensive analysi
211 Through integration of
transcriptome-profiling,
published drug-screening data,
212 Comparing our
transcriptome profiling results to an earlier ribosome f
213 Genome-wide 6mA and
transcriptome profiling reveal an inverse association be
214 Genome-wide occupancy mapping and
transcriptome profiling reveal that nuclear TAZ/YAP prom
215 Transcriptome profiling revealed 349 hits with a 2-fold
216 Transcriptome profiling revealed a broader fruit gene ex
217 Whole-
transcriptome profiling revealed ArT cleaves 50 addition
218 Transcriptome profiling revealed differential regulation
219 Whole
transcriptome profiling revealed down regulation of NF-k
220 eration, invasion and migration in vitro and
transcriptome profiling revealed effects on expression o
221 Transcriptome profiling revealed extensive expression va
222 Finally, single-cell
transcriptome profiling revealed genes differentially re
223 Transcriptome profiling revealed genome-wide alteration
224 Single-cell
transcriptome profiling revealed progressive age-depende
225 In MIM159 tobacco,
transcriptome profiling revealed that genes associated w
226 Single-cell
transcriptome profiling revealed that Lgr5+ cells adopt
227 Macrophage
transcriptome profiling revealed that M. tuberculosis in
228 Moreover, blood
transcriptome profiling revealed that mutant monkeys res
229 Global
transcriptome profiling revealed that TamS cells adapt t
230 Whole-
transcriptome profiling revealed that the deletion of th
231 cells was physiologically relevant: unbiased
transcriptome profiling revealed that the inflammatory c
232 Transcriptome profiling revealed that transcription fact
233 High resolution
transcriptome profiling revealed the identity of key lin
234 Whole-
transcriptome profiling revealed YjgK represses fimbria
235 Global gene expression (
transcriptome) profiling revealed that the induction of
236 ome-occupancy analyses in mice, coupled with
transcriptome profiling,
revealed that Chd7 interacted w
237 Transcriptome profiling reveals a gene expression signat
238 ase is required for branching morphogenesis,
transcriptome profiling reveals a key role for MMP14 and
239 Transcriptome profiling (
RNA-seq) of KF147 identified 85
240 o and in vivo Consistent with these results,
transcriptome profiling showed increased expression of s
241 Unexpectedly,
transcriptome profiling showed that EZH2 primarily activ
242 Transcriptome profiling showed that nuclear Rbfox1 rescu
243 Transcriptome profiling shows that expressing an unphosp
244 At the molecular level, our unbiased
transcriptome profiling shows that Msi2 represses Hedgeh
245 Transcriptome profiling,
single cell sequencing, cytokin
246 Transcriptome profiling studies demonstrated reproducibl
247 Transcriptome profiling studies have produced staggering
248 Transcriptome profiling studies have recently uncovered
249 Transcriptome profiling studies in flies and mammals ide
250 Transcriptome profiling studies revealed REX1 deficiency
251 Transcriptome profiling studies suggest that a large fra
252 We conducted extensive
transcriptome profiling studies to characterize and to c
253 Based on a recently performed
transcriptome profiling study, the expression pattern of
254 Transcriptome profiling suggests that acute inflammatory
255 RNA-Seq is a powerful
transcriptome profiling technology enabling transcript d
256 t the development of a method based on whole-
transcriptome profiling that allowed us to identify chro
257 RNA-Seq is a recently developed approach to
transcriptome profiling that uses deep-sequencing techno
258 RNA sequencing is a method of
transcriptome profiling that utilizes next-generation se
259 Transcriptome profiling through RNA sequencing showed th
260 oxic preconditioning, we used RNA-sequencing
transcriptome profiling to compare the transcriptional r
261 Here, we use
transcriptome profiling to demonstrate that deficiency i
262 ve integrated these data with the results of
transcriptome profiling to distinguish metabolomic pathw
263 First, we employed
transcriptome profiling to identify genes that were indu
264 We utilized
transcriptome profiling to identify the P. aeruginosa So
265 enome sequencing of invasive populations and
transcriptome profiling to probe the underlying genetic
266 The application of RNA-Seq based
transcriptome profiling to structural gene annotation he
267 ments, including cancer cell migration, with
transcriptome profiling to unveil the molecular influenc
268 were generated from woody tissue and include
transcriptome profiling,
transcription factor binding, D
269 pancy profiles of NUP98-fusion proteins with
transcriptome profiling upon acute fusion protein inacti
270 Whole-
transcriptome profiling using deep RNA sequencing reveal
271 By
transcriptome profiling using next-generation sequencing
272 we combined tissue metal analysis with whole-
transcriptome profiling using RNA-seq on an Illumina pla
273 Transcriptome profiling via cDNA microarray analysis ide
274 We further performed
transcriptome profiling via mRNA microarrays in hemangio
275 Transcriptome profiling was conducted to detect genes wh
276 A whole-miRNA
transcriptome profiling was performed in peripheral bloo
277 Transcriptome profiling was performed on 23 different ti
278 Transcriptome profiling was performed on hepatocyte RNA
279 To characterize the PpsR regulon,
transcriptome profiling was performed on the wild-type s
280 e-guanine (CpG) islands and 485,000 CpG, and
transcriptome profiling was performed with Affymetrix Hu
281 subset of children RNA sequencing (RNA-Seq)
transcriptome profiling was performed.
282 In the present study, global
transcriptome profiling was used to determine the extent
283 Global
transcriptome profiling was used to evaluate if these tw
284 Using whole
transcriptome profiling we found that in the presence of
285 Through global
transcriptome profiling,
we attempted to discover the mo
286 Using mRNA sequencing for
transcriptome profiling,
we demonstrate that expression
287 By RNA sequencing
transcriptome profiling,
we identified ATG9 as one of th
288 ry human B cells using phosphoproteomics and
transcriptome profiling,
we identified molecular mechani
289 Using ribosome and
transcriptome profiling,
we identify distinct codon sign
290 ding sites, nucleosome-depleted regions, and
transcriptome profiling,
we identify topologically assoc
291 By imaging-based analysis and single-cell
transcriptome profiling,
we reveal rapid viral replicati
292 Here, through
transcriptome profiling,
we show that the tubulin polyme
293 Histone modification and
transcriptome profiling were performed using adult prima
294 Spectroscopic analyses and
transcriptome profiling were used to examine the mechani
295 The key findings from the
transcriptome profiling were validated with qPCR and flo
296 has been successfully used for deep-coverage
transcriptome profiling,
which is a particularly effecti
297 adipose tissue function was interrogated by
transcriptome profiling with cDNA microarrays.
298 oped genetical genomics method that combines
transcriptome profiling with complex trait analysis now
299 We previously used
transcriptome profiling with DNA microarrays to identify
300 Here, by combining
transcriptome profiling with TAL effector-binding elemen