1 TRM pools by lineage-tracing and single-cell
transcriptome analysis.
2 tion, our method provides a new strategy for
transcriptome analysis.
3 s in the mechanism of TRCs selection through
transcriptome analysis.
4 election, using an outlier and a genome-wide
transcriptome analysis.
5 ome resequencing of natural populations, and
transcriptome analysis.
6 ular proliferation, signal transduction, and
transcriptome analysis.
7 xtracted from cervical cytobrush samples for
transcriptome analysis.
8 -PCR) showed consistent results with that of
transcriptome analysis.
9 coding DNA, in parallel with unbiased whole-
transcriptome analysis.
10 led to hypomorphic Notch signaling, based on
transcriptome analysis.
11 CoV infection using immunological assays and
transcriptome analysis.
12 2500
transcriptome analysis.
13 single cell monolayer, facilitating accurate
transcriptome analysis.
14 edded (FFPE) tissues to provide whole-genome
transcriptome analysis.
15 cell (iPSC)-derived retinal organoids (ROs)
transcriptome analysis.
16 YP450 genes most abundantly expressed in the
transcriptome analysis across different castes, ages, ta
17 Transcriptome analysis across numerous tissues revealed
18 Transcriptome analysis after biochemical inhibition of b
19 Transcriptome analysis after PI demonstrates broad-scale
20 As a robust bioinformatics tool for
transcriptome analysis,
AIDE enables researchers to disc
21 Transcriptome analysis allowed the identification of can
22 tive trait using whole genome-sequencing and
transcriptome analysis allows to discover the functional
23 Transcriptome analysis also indicated competition for th
24 ted 492 phylogenetically diverse strains for
transcriptome analysis and 50 strains for virulence asse
25 Using single-cell
transcriptome analysis and antibody screening, we identi
26 Integrative
transcriptome analysis and ATAC-seq revealed a significa
27 Global
transcriptome analysis and cell wall metabolite measurem
28 based on Next Generation Sequencing-mediated
transcriptome analysis and chromatin immunoprecipitation
29 Cell surface phenotyping,
transcriptome analysis and developmental study data show
30 Transcriptome analysis and flow cytometry of IL-17A(+)Fo
31 In this study, our
transcriptome analysis and in situ hybridization assays
32 the foundation for easy, affordable, nascent
transcriptome analysis and inhibitor-free analysis of RN
33 Transcriptome analysis and phenotypic characterization d
34 the effectiveness of the BioTarget tool for
transcriptome analysis and point to interesting associat
35 sequencing (PoKI-seq), combining single-cell
transcriptome analysis and pooled knockin screening to m
36 We used
transcriptome analysis and real-time reverse transcripti
37 ated in both the acute and chronic RE pooled
transcriptome analysis as well as significantly hypo/hyp
38 Whole
transcriptome analysis at this early time point showed t
39 Transcriptome analysis by RNA sequencing (RNA-seq) has b
40 In an unbiased
transcriptome analysis,
C1q was shown to modulate expres
41 While
transcriptome analysis can provide valuable information,
42 Transcriptome analysis combined with genetic tests show
43 Here, we present an integrated
transcriptome analysis combined with immunohistochemistr
44 A
transcriptome analysis comparing mesenteric visceral AT
45 Transcriptome analysis confirmed activation of proangiog
46 Single-cell RNA-Seq
transcriptome analysis confirms the presence of appropri
47 Transcriptome analysis demonstrated stimulation of inter
48 Transcriptome analysis demonstrated that molecular subty
49 Genome-wide
transcriptome analysis demonstrates that genes related t
50 Transcriptome analysis demonstrates that interleukin (IL
51 The
transcriptome analysis detected 4,508 differentially exp
52 o that of control virus in vitro and in vivo
Transcriptome analysis detected 75 known HSV-1 genes in
53 Genome-wide
transcriptome analysis determined by RNA-sequencing comb
54 Our
transcriptome analysis discovered three significantly ab
55 on, we performed a comprehensive time course
transcriptome analysis during KSHV reactivation in B-cel
56 Furthermore, whole-genome
transcriptome analysis examined deregulated canonical pa
57 Transcriptome analysis exhibited 37 microglia-related ge
58 By conducting a
transcriptome analysis followed by ChIP-Seq coupled with
59 Moreover,
transcriptome analysis following NR2F2-depletion in the
60 uencing can be used to provide isoform-level
transcriptome analysis for more than 9000 loci, (2) gene
61 Indeed, testicular
transcriptome analysis found that a number of Y chromoso
62 Transcriptome analysis from slow cycling cells identifie
63 Bulk
transcriptome analysis from wounds treated with MCS-01 o
64 Transcriptome analysis further revealed that astrocyte-d
65 We used
transcriptome analysis,
gene expression assays, cosegreg
66 In this study, a comparative
transcriptome analysis has been performed at both vegeta
67 Our
transcriptome analysis has shown that SHOC2 can modulate
68 mediated stable root transformation, but the
transcriptome analysis identified 1,634 differentially e
69 Local host
transcriptome analysis identified 12 differentially expr
70 Transcriptome analysis identified 35 significantly upreg
71 Comparative
transcriptome analysis identified 807 maternally biased
72 Hepatic
transcriptome analysis identified alterations in multipl
73 Single-cell
transcriptome analysis identified brain-derived neurotro
74 Transcriptome analysis identified five commonly up-regul
75 -27 plants are intolerant to submergence and
transcriptome analysis identified genes whose regulation
76 Deep quantitative proteomics combined with
transcriptome analysis identified miR-28 targets involve
77 Transcriptome analysis identified overexpression of P450
78 RNA sequencing-based
transcriptome analysis identified the up-regulation of t
79 Integrative cistrome, epigenome and
transcriptome analysis identifies the lipid-sensing pero
80 xamined in vivo and in vitro applying tissue
transcriptome analysis,
immunohistochemistry, flow cytom
81 Transcriptome analysis implicates p53 signaling; moreove
82 Transcriptome analysis in alleles displaying mutant mRNA
83 We performed
transcriptome analysis in APA and identified retinoic ac
84 Global
transcriptome analysis in CD4+ T cells from EAE mice wit
85 e that lack all of the TRPCs and performed a
transcriptome analysis in eight tissues.
86 ing (LRS) has become a standard approach for
transcriptome analysis in recent years.
87 Diurnal
transcriptome analysis in separated alpha and beta cells
88 lts from measurement of cytokine release and
transcriptome analysis in this pilot clinical study supp
89 Transcriptome analysis in time course reveals that both
90 Transcriptome analysis indicated activation of lipid bio
91 mmunoprecipitation experiments combined with
transcriptome analysis indicated that CsARF8 bound to pr
92 Transcriptome analysis indicated that Pax9 and Tbx1 may
93 Transcriptome analysis indicates numerous gene expressio
94 Comparative time series
transcriptome analysis is a powerful tool to study devel
95 Transcriptome analysis linked Duxbl to elevated expressi
96 Using a combination of organ-level
transcriptome analysis,
molecular reporters, and physiol
97 Our
transcriptome analysis not only indicates that human gen
98 Single-cell
transcriptome analysis of >50,000 intratumoral immune ce
99 ng in human tissue by performing single-cell
transcriptome analysis of 2,544 human pancreas cells fro
100 Transcriptome analysis of 3-AP-treated PEL cell lines re
101 Comparative
transcriptome analysis of adult B. minax and Bactrocera
102 our knowledge, this is the first single cell
transcriptome analysis of alcohol-associated gene expres
103 Transcriptome analysis of Arabidopsis thaliana mutant pl
104 RNA-Seq-based
transcriptome analysis of ask1 uncovered a large spectru
105 Comparative
transcriptome analysis of B. distachyon plants with supp
106 Transcriptome analysis of B1 overexpression plants sugge
107 Transcriptome analysis of BEAS-2B and A549 cells incubat
108 indings were confirmed in vivo through whole-
transcriptome analysis of cardiac fibroblasts from mice
109 Global
transcriptome analysis of CD3/CD28-stimulated peripheral
110 Coupling TRAPeS with
transcriptome analysis of CD8+ T cells specific for a si
111 Whole
transcriptome analysis of cells indicates widespread cha
112 Transcriptome analysis of circulating monocytes at basel
113 this study, we used comparative genomics and
transcriptome analysis of citrate-producing strains-name
114 The
transcriptome analysis of cytokeratin 7-positive (KRT7(+
115 Transcriptome analysis of DeltacdgB, DeltacdgC, Deltarmd
116 We next performed global
transcriptome analysis of different cardiac cell types w
117 Transcriptome analysis of disease resistant genotype Mus
118 In a
transcriptome analysis of EAC and nondysplastic BE tissu
119 METHODS AND Based on a
transcriptome analysis of endothelial cells after miR-10
120 Drought
transcriptome analysis of finger millet (Eleusine coraca
121 Transcriptome analysis of FPPa-OmoMYC-treated cells indi
122 A
transcriptome analysis of G. pallida juveniles collected
123 RNA-Seq-based
transcriptome analysis of G1E-ER4 cells differentiated i
124 Transcriptome analysis of GCA-affected temporal arteries
125 comparative chromosome painting and/or whole-
transcriptome analysis of gene age distributions and phy
126 Using (bulk)
transcriptome analysis of genetically identified proprio
127 Transcriptome analysis of GMPs revealed enrichment in ge
128 Liver
transcriptome analysis of Gprc6a-(KGKY-knockin) mice ide
129 Temporal single-cell-
transcriptome analysis of Hand2-null embryos revealed fa
130 The
transcriptome analysis of HC-EVs from ASH mice detected
131 conclusion, we report first-time comparative
transcriptome analysis of hESC- and iPSC-derived lentoid
132 Comparative
transcriptome analysis of hESC- and iPSC-derived lentoid
133 y popular for unbiased and high-resolutional
transcriptome analysis of heterogeneous cell populations
134 Single-cell
transcriptome analysis of Hh-deficient mesoderm revealed
135 position was skewed towards myelopoiesis and
transcriptome analysis of HSC/GMP cell populations revea
136 Although
transcriptome analysis of human atrial fibroblasts revea
137 The authors also undertook
transcriptome analysis of human DMD left ventricle sampl
138 A
transcriptome analysis of human stool samples from healt
139 Here,
transcriptome analysis of immature spike tissues in thre
140 Here, we performed a
transcriptome analysis of isolated vWAT adipocytes to as
141 A-sequencing technology, which enables whole
transcriptome analysis of known, as well as novel isofor
142 Global
transcriptome analysis of L254F-OGT lymphoblastoids comp
143 KEY MESSAGE: Comprehensive
transcriptome analysis of leaf and root tissues of Notha
144 We perform
transcriptome analysis of linc00899-depleted cells and i
145 Transcriptome analysis of Lp(a)-stimulated human arteria
146 We performed
transcriptome analysis of mouse lymph nodes and bone mar
147 this interaction, we conducted a comparative
transcriptome analysis of mouse PVEC vs. adult brain end
148 Transcriptome analysis of multiple prostate cancer model
149 Present investigation entails deep
transcriptome analysis of N. nimmoniana which led to ide
150 The study is the first report on de novo
transcriptome analysis of Nardostachys jatamansi, a crit
151 Transcriptome analysis of neural stem and progenitor cel
152 Transcriptome analysis of NLUCAT1-deficient cells showed
153 Transcriptome analysis of nod mutants revealed overrepre
154 Transcriptome analysis of nodal tissues revealed that th
155 maize and coexpression networks derived from
transcriptome analysis of normally senescing and stay-gr
156 Strand-specific
transcriptome analysis of offspring from maternally or p
157 However,
transcriptome analysis of one M4 line revealed significa
158 Transcriptome analysis of OPCs revealed that senescent N
159 A comparative
transcriptome analysis of otic vesicles from mouse mutan
160 Transcriptome analysis of over 40000 transcripts of gene
161 Indeed, a comparative
transcriptome analysis of planktonic and biofilm cells r
162 Transcriptome analysis of premorbid genetic risk identif
163 Finally,
transcriptome analysis of presclerotic glomeruli reveale
164 Whole
transcriptome analysis of primary T2D islets and matched
165 For example,
transcriptome analysis of purified mammary epithelial ce
166 Transcriptome analysis of remote, border, and infarct zo
167 Specific
transcriptome analysis of retinal endothelial cells allo
168 Transcriptome analysis of rice cells treated with the TO
169 me analyses on the rumen epithelium and meta-
transcriptome analysis of rumen epimural microbial commu
170 Transcriptome analysis of SCA7 mice revealed downregulat
171 Transcriptome analysis of seedlings, which do not have s
172 Here we show, via
transcriptome analysis of serial protocol biopsies from
173 Transcriptome analysis of SFTSV-infected young ferrets r
174 Transcriptome analysis of skin samples identified an IL-
175 Whole
transcriptome analysis of SLIRP knockdown in androgen re
176 Finally,
transcriptome analysis of SNORA31-mutated neurons reveal
177 Transcriptome analysis of sorted MyD88(-/-) CD4 T cells
178 Gene-level
transcriptome analysis of striatal tissue from 114 kb co
179 We performed a comparative
transcriptome analysis of the diurnal cycle of nine memb
180 A
transcriptome analysis of the neurons, performed at diff
181 Through
transcriptome analysis of the roots, an oxidosqualene cy
182 Comparative
transcriptome analysis of the row-type mutants vrs3, vrs
183 Finally, we used
transcriptome analysis of the striatum via messenger RNA
184 Transcriptome analysis of the telencephalon revealed 155
185 Transcriptome analysis of the wild type and camta6-5 wit
186 ing the awn physiology, we conducted the awn
transcriptome analysis of thermosusceptible Indian wheat
187 Transcriptome analysis of these cells provides insights
188 A
transcriptome analysis of these complemented plants show
189 ession during optic fissure morphogenesis by
transcriptome analysis of tissue dissected from the marg
190 eous landscape of genetic perturbations, and
transcriptome analysis of transformed T cells further hi
191 Transcriptome analysis of treated and untreated C. albic
192 Transcriptome analysis of trigeminal ganglia from latent
193 Transcriptome analysis of TvWT-treated maize B73 reveale
194 A time-course
transcriptome analysis of two cassava varieties that are
195 Transcriptome analysis of white blood cells and T cells
196 Transcriptome analysis of wild-type and T357I-mutant cel
197 Here we couple digital pathology and
transcriptome analysis on a large ovarian tumour cohort
198 We performed a whole (gene and exon-level)
transcriptome analysis on cortical tissue samples (Brodm
199 Although genome-wide
transcriptome analysis on diseased tissues has greatly a
200 We tested our results with
transcriptome analysis on Mecp2-null models and cells de
201 er mice to isolate GEC by FACS and performed
transcriptome analysis on them from WT and AS mice, foll
202 verall, the combination of a drug screen and
transcriptome analysis provides systematic understanding
203 Whole
transcriptome analysis revealed a global deregulation in
204 Whole-genome
transcriptome analysis revealed a set of 56 differential
205 However, whole-
transcriptome analysis revealed a striking response to t
206 Transcriptome analysis revealed distinct disease-related
207 A global
transcriptome analysis revealed distinctive temporal exp
208 Transcriptome analysis revealed enhanced expression of H
209 l of DHNA-deficient L. monocytogenes RNA-seq
transcriptome analysis revealed five genes (lmo0944, lmo
210 Transcriptome analysis revealed impaired expression and
211 Transcriptome analysis revealed mild differences in dend
212 Small (s)RNA
transcriptome analysis revealed misregulation of several
213 The
transcriptome analysis revealed several transcripts rela
214 Transcriptome analysis revealed significant differences
215 Transcriptome analysis revealed TGF-beta1-dependent chan
216 Transcriptome analysis revealed that a rice (Oryza sativ
217 Transcriptome analysis revealed that an unannotated open
218 Single-cell
transcriptome analysis revealed that aortic challenge in
219 Mushroom-body-specific
transcriptome analysis revealed that Bap60 is required f
220 Neutrophil
transcriptome analysis revealed that decreased apoptosis
221 Transcriptome analysis revealed that gata2a(+) runx1(+)
222 Most uniquely,
transcriptome analysis revealed that H. glycines is the
223 In addition,
transcriptome analysis revealed that hsdS allelic variat
224 Transcriptome analysis revealed that IBI1-dependent expr
225 Transcriptome analysis revealed that LXN overexpression
226 Transcriptome analysis revealed that RA-induced early ES
227 Transcriptome analysis revealed that salt stress-induced
228 EB potently inhibits apoptosis in VSMCs, and
transcriptome analysis revealed that TFEB regulates apop
229 Transcriptome analysis revealed that the locked specific
230 Comprehensive
transcriptome analysis revealed that the loss of COL6 is
231 Transcriptome analysis revealed that various phytohormon
232 Muscle
transcriptome analysis revealed the induction of mitocho
233 In affected cases,
transcriptome analysis revealed the presence of a unique
234 Transcriptome analysis revealed up-regulation of G1/S ph
235 Transcriptome analysis revealed upregulation of 6,919 ge
236 Transcriptome analysis revealed upregulation of B. hydro
237 Single cell
transcriptome analysis revealed various IL-10 producing
238 Transcriptome analysis revealed ~30% overlap between dif
239 Global
transcriptome analysis reveals a major temperature-sensi
240 Transcriptome analysis reveals mis-regulation of genes t
241 Our
transcriptome analysis reveals several novel genes not p
242 Transcriptome analysis reveals that emetine globally reg
243 Genome-wide
transcriptome analysis reveals that lipid biosynthetic e
244 Transcriptome analysis reveals that metabolic reprogramm
245 Additionally,
transcriptome analysis reveals that PPARgamma is the key
246 Transcriptome analysis reveals that the glycolytic pheno
247 Comparative
transcriptome analysis reveals that the LB-like tissues
248 et beta-, alpha- and delta-cells followed by
transcriptome analysis (
RNA-seq) and immunohistology ide
249 A
transcriptome analysis showed a change in tissue express
250 Transcriptome analysis showed a remarkably higher expres
251 Whole
transcriptome analysis showed hundreds of genes differen
252 Whole
transcriptome analysis showed that FGF2 treatment regula
253 Finally,
transcriptome analysis showed that HPCs were more closel
254 Transcriptome analysis showed that mat3 or dp1 disruptio
255 Tissue-specific
transcriptome analysis showed that most of the genes are
256 Transcriptome analysis showed that NPCs and neurons deri
257 Transcriptome analysis showed that PRANCR controls the e
258 Transcriptome analysis showed that RBP-L knockdown great
259 SA CMCs are indistinguishable; nevertheless,
transcriptome analysis showed that they possess fundamen
260 Transcriptome analysis shows diminished RNA levels of nu
261 Transcriptome analysis shows that PHF19 loss promotes de
262 Thus, vascular
transcriptome analysis shows that S1P pathway is critica
263 Transcriptome analysis shows that, in addition to those
264 In this study we focus on
transcriptome analysis,
specifically total RNA sequencin
265 Moreover,
transcriptome analysis suggested a molecular basis for t
266 Comprehensive
transcriptome analysis suggested that the primary metabo
267 Transcriptome analysis suggests presence of sex-specific
268 We further conducted an RNA-sequencing-based
transcriptome analysis to assess genome-wide off-target
269 Erdr1 expression was identified by
transcriptome analysis to be elevated in splenic T cells
270 sk, combined with genome wide sequencing and
transcriptome analysis to identify candidate genes assoc
271 ell types, we undertook a cell type-specific
transcriptome analysis to identify gene networks activat
272 We carried out a genome-wide
transcriptome analysis to identify the differentially ex
273 We used a genome-wide
transcriptome analysis to identify the molecular mechani
274 used
transcriptome analysis to investigate the site-specific
275 We carried out an unbiased
transcriptome analysis to query differentiation defects
276 3'mRNA sequencing/
transcriptome analysis to reveal localization and putati
277 human models with a time-series single-cell
transcriptome analysis to reveal that MYC drives dynamic
278 Liver
transcriptome analysis uncovered altered transcription o
279 dge, this is the first report of comparative
transcriptome analysis under drought stress at two diffe
280 ecipitation coupled with deep sequencing and
transcriptome analysis upon FOXA1 knockdown in well-diff
281 Furthermore,
transcriptome analysis using IL-17A(hCD2) reporter mice
282 Furthermore, whole
transcriptome analysis using RNA sequencing showed that
283 We evaluated the impact of targeted
transcriptome analysis using RNA sequencing to reveal gl
284 Temporal
transcriptome analysis using RNAseq at day 2, 6, and 10
285 Whole
transcriptome analysis using RNAseq indicated Ambrisenta
286 ons which could open up new opportunities in
transcriptome analysis,
virology, and other fields.
287 nscriptional cascade for CsFAD3 suppression,
transcriptome analysis was conducted to implicate mechan
288 Herein, a targeted whole
transcriptome analysis was performed on 14 PSC samples,
289 To test this hypothesis, global
transcriptome analysis was performed on purified AMs fro
290 Guided by single-cell
transcriptome analysis,
we demonstrate that combination
291 Using genome-wide
transcriptome analysis,
we demonstrated that lifespan ex
292 and candidate drug screening, combined with
transcriptome analysis,
we discover that nicotinamide (N
293 Using
transcriptome analysis,
we found increased activity of i
294 Through a
transcriptome analysis,
we identify IL-33 as an immune t
295 rried out in the liver tissues and rRNA meta-
transcriptome analysis were done using the rumen epithel
296 fferentially selected samples for integrated
transcriptome analysis will lead to bias in the estimate
297 pe C57BL/6 mice was validated by comparative
transcriptome analysis with retinal endothelial cells so
298 We combined
transcriptome analysis with single-cell analysis using f
299 efore these organisms are ideal subjects for
transcriptome analysis with the relatively low-throughpu
300 roarray, RNA sequencing, and 10x single-cell
transcriptome analysis,
with associated examination of A