1 y, the isolate was subsequently selected for
transcriptome analysis.
2 ent the problem, we performed single-nucleus
transcriptome analysis.
3 idates were identified from a perturbed rice
transcriptome analysis.
4 istent tumor characteristics as supported by
transcriptome analysis.
5 led to hypomorphic Notch signaling, based on
transcriptome analysis.
6 exhibit genomic alterations as indicated by
transcriptome analysis.
7 CoV infection using immunological assays and
transcriptome analysis.
8 xtreme individuals with high and low RFI for
transcriptome analysis.
9 capabilities via in vitro assays, including
transcriptome analysis.
10 2500
transcriptome analysis.
11 to epidermal cytokines was revealed by whole
transcriptome analysis.
12 the transcriptome.RNA-seq is widely used for
transcriptome analysis.
13 After comparative mapping and
transcriptome analysis,
187 expressed genes (10 046 comm
14 YP450 genes most abundantly expressed in the
transcriptome analysis across different castes, ages, ta
15 Here using comparative genome and
transcriptome analysis across eight uni- and multicellul
16 Transcriptome analysis after remodeller depletion reveal
17 tive trait using whole genome-sequencing and
transcriptome analysis allows to discover the functional
18 This
transcriptome analysis also identified SFO transcripts,
19 Transcriptome analysis also showed some canonical SPI ge
20 based on Next Generation Sequencing-mediated
transcriptome analysis and chromatin immunoprecipitation
21 In vitro
transcriptome analysis and experiments using siRNA or sp
22 Transcriptome analysis and flow cytometry of IL-17A(+)Fo
23 We performed a genome-wide
transcriptome analysis and found that the same condition
24 xpanded Treg cells were isolated ex vivo for
transcriptome analysis and found to contain multiple tra
25 By
transcriptome analysis and functional screens in the med
26 Global
transcriptome analysis and immunodetection of two major
27 Using
transcriptome analysis and multiple concentration-respon
28 Transcriptome analysis and phenotypic characterization d
29 We used
transcriptome analysis and real-time reverse transcripti
30 Comparative
transcriptome analysis and recombinant gene overexpressi
31 Genome-wide
transcriptome analysis and reporter assays revealed that
32 Rescue experiments coupled with
transcriptome analysis and Runx1 DNA-binding assays demo
33 rgeted next-generation sequencing, exome and
transcriptome analysis,
and digital polymerase-chain-rea
34 h a combination of genetics, tissue-specific
transcriptome analysis,
and functional studies of candid
35 es of the (15) N-(18) O labelling technique,
transcriptome analysis,
and Illumina MiSeq sequencing we
36 entified the MAPK phosphatase Dusp9/MKP-4 by
transcriptome analysis as selectively expressed in pDCs,
37 Transcriptome analysis at this early stage of bud develo
38 In an unbiased
transcriptome analysis,
C1q was shown to modulate expres
39 Transcriptome analysis combined with genetic tests show
40 Single-cell
transcriptome analysis combined with protein interactome
41 A
transcriptome analysis comparing mesenteric visceral AT
42 Whole
transcriptome analysis confirmed changes consistent with
43 Transcriptome analysis confirms increased expression of
44 associated with growth in mild drought, the
transcriptome analysis delivered further insight into th
45 prior to neurodegeneration in these mice and
transcriptome analysis demonstrated activation of ATF4,
46 Transcriptome analysis demonstrated dramatic dysregulati
47 Furthermore, whole
transcriptome analysis demonstrated similarity of the hE
48 Transcriptome analysis demonstrated that 7,943 genes wer
49 Transcriptome analysis demonstrated that IC3 expressed h
50 RNA-Seq
transcriptome analysis demonstrated that PRMT5 and MEP50
51 Transcriptome analysis demonstrated that SG ILCs had cha
52 Root
transcriptome analysis demonstrated the differential exp
53 Additionally,
transcriptome analysis demonstrates that CD4(+)Foxp3(+)
54 Transcriptome analysis demonstrates that CYP2J19 is sign
55 ro similarly to microglia in vivo, and whole-
transcriptome analysis demonstrates that they are highly
56 Transcriptome analysis demonstrates the involvement of B
57 Transcriptome analysis detected the expression of multip
58 dy tissue-specific transcription and dynamic
transcriptome analysis (
DTA) to study RNA turnover.
59 We performed kinetic
transcriptome analysis during regeneration of differenti
60 Transcriptome analysis ex vivo revealed that IRAK1 promo
61 nalysis of key significant genes from global
transcriptome analysis for ixazomib strongly favored tum
62 Furthermore, RNA sequencing
transcriptome analysis found that multiple growth factor
63 This
transcriptome analysis from highly purified islet alpha-
64 Transcriptome analysis from slow cycling cells identifie
65 Based on
transcriptome analysis,
full-length complementary DNA cl
66 Transcriptome analysis further revealed that the effects
67 Transcriptome analysis further supported the distinct fu
68 Transcriptome analysis has been increasingly used to ide
69 echniques including cell-lineage tracing and
transcriptome analysis have provided novel and exciting
70 Transcriptome analysis identified a class of mammary-res
71 Comparative
transcriptome analysis identified a large number of gene
72 Transcriptome analysis identified Cdca7 as the top down-
73 Genome-wide
transcriptome analysis identified key HSC transcription
74 Deep quantitative proteomics combined with
transcriptome analysis identified miR-28 targets involve
75 Transcriptome analysis identified multiple factors that
76 Transcriptome analysis identified multiple genes that we
77 Genome-wide
transcriptome analysis identifies novel targets of PU.1
78 in pluripotent stem cells, followed by whole-
transcriptome analysis,
identifies HPAT5 as a key compon
79 While recent studies using single cell
transcriptome analysis illustrate the power to measure a
80 promoter capture both experimentally and by
transcriptome analysis in bats.
81 and RNA polymerase II occupancy and perform
transcriptome analysis in mouse female germline stem cel
82 Diurnal
transcriptome analysis in separated alpha and beta cells
83 markers, 3) receptor autoradiography, and 4)
transcriptome analysis in the hippocampus.
84 lts from measurement of cytokine release and
transcriptome analysis in this pilot clinical study supp
85 Transcriptome analysis in time course reveals that both
86 Now, using
transcriptome analysis in urothelial TEU-2 cells, we imp
87 Comprehensive
transcriptome analysis,
including analysis of exon co-as
88 RNA-sequencing-based
transcriptome analysis indicated that inhibition of miRN
89 The integration of metabolome and
transcriptome analysis indicated that the major and mino
90 Transcriptome analysis indicates that 86% of the noncodi
91 rases for its activity on AtMu1c Genome-wide
transcriptome analysis indicates that JMJ24 affects sile
92 Transcriptome analysis indicates that, in comparison wit
93 The fundamental task in RNA-Seq-based
transcriptome analysis is alignment of millions of short
94 An important step in the single-cell
transcriptome analysis is to group cells that belong to
95 Using a combination of organ-level
transcriptome analysis,
molecular reporters, and physiol
96 Transcriptome analysis of 10 genes that make up six NATs
97 ng in human tissue by performing single-cell
transcriptome analysis of 2,544 human pancreas cells fro
98 Transcriptome analysis of 3-AP-treated PEL cell lines re
99 We used comprehensive
transcriptome analysis of 622 single mouse neurons to cl
100 Petropoulos et al. now provide an extensive
transcriptome analysis of a large number of human pre-im
101 tudy has conducted a comprehensive exome and
transcriptome analysis of a large number of intrahepatic
102 Our
transcriptome analysis of a number of Arabidopsis F1 hyb
103 Furthermore,
transcriptome analysis of A. niger H915-1 revealed that
104 Using
transcriptome analysis of Ahr(-/-) and Ahr(+/+) murine k
105 Transcriptome analysis of AKT-CAT tumors revealed that c
106 In addition, comparative
transcriptome analysis of bone marrow progenitors reveal
107 Transcriptome analysis of bronchial brushes in the nonhu
108 In a whole
transcriptome analysis of BS149 glioblastoma cells overe
109 Coupling TRAPeS with
transcriptome analysis of CD8+ T cells specific for a si
110 By
transcriptome analysis of cells along PSC differentiatio
111 Transcriptome analysis of cells infected with influenza
112 this study, we used comparative genomics and
transcriptome analysis of citrate-producing strains-name
113 Here, we perform the first single-cell
transcriptome analysis of cranial neural crest cell migr
114 In situ
transcriptome analysis of drug-resistant melanoma cells
115 ar pathogenesis, we conducted a multi-region
transcriptome analysis of DS and euploid control brains
116 Transcriptome analysis of DUX4-expressing cells revealed
117 However, whole-
transcriptome analysis of early embryos in flowering pla
118 We present the first
transcriptome analysis of EBCs isolated from intact plan
119 Indeed,
transcriptome analysis of embryonic host-derived and pos
120 s, perform genome-wide CRISPR screening, and
transcriptome analysis of en route cell populations by u
121 METHODS AND Based on a
transcriptome analysis of endothelial cells after miR-10
122 Transcriptome analysis of ex vivo-isolated Treg-exposed
123 Transcriptome analysis of FACS-purified choroid plexus e
124 Drought
transcriptome analysis of finger millet (Eleusine coraca
125 frequently accelerated meiotic entry, whole-
transcriptome analysis of fst-1 anthers undergoing meios
126 Transcriptome analysis of G9a knockdown cells revealed d
127 Transcriptome analysis of GA-treated pro(DeltaGRAS) leav
128 Transcriptome analysis of GCA-affected temporal arteries
129 comparative chromosome painting and/or whole-
transcriptome analysis of gene age distributions and phy
130 Our
transcriptome analysis of genome expression in vivo by t
131 The
transcriptome analysis of HC-EVs from ASH mice detected
132 A whole-
transcriptome analysis of heart biopsy specimens and for
133 This spatiotemporal
transcriptome analysis of heart development reveals line
134 y popular for unbiased and high-resolutional
transcriptome analysis of heterogeneous cell populations
135 Unbiased
transcriptome analysis of high- vs. low-Sost/sclerostin-
136 Here we describe a genome-wide
transcriptome analysis of human benign prostatic basal a
137 Whole
transcriptome analysis of isolated Ptch2(+) cells reveal
138 Transcriptome analysis of isolated TAMs from both entiti
139 Transcriptome analysis of ITD-positive CCSKs reveals enr
140 We performed
transcriptome analysis of Jag1(Ndr/Ndr) livers and liver
141 A-sequencing technology, which enables whole
transcriptome analysis of known, as well as novel isofor
142 RNAseq
transcriptome analysis of Kras(G12D) tumors from F1 hybr
143 Global
transcriptome analysis of L254F-OGT lymphoblastoids comp
144 In support of this,
transcriptome analysis of laser capture microdissected M
145 Transcriptome analysis of late gene changes suggested ro
146 KEY MESSAGE: Comprehensive
transcriptome analysis of leaf and root tissues of Notha
147 and Oakleaf plants, and present comparative
transcriptome analysis of leaves and flowers from Oaklea
148 Transcriptome analysis of macrophages from lincRNA-EPS-d
149 Here, we report the first
transcriptome analysis of male and female Plasmodium fal
150 Transcriptome analysis of mushroom body, antennal lobe a
151 Present investigation entails deep
transcriptome analysis of N. nimmoniana which led to ide
152 Global
transcriptome analysis of naive B cells by mRNA sequenci
153 Transcriptome analysis of neural stem and progenitor cel
154 Transcriptome analysis of nod mutants revealed overrepre
155 Global
transcriptome analysis of nrpe1 and ros1 at multiple tim
156 Transcriptome analysis of over 40000 transcripts of gene
157 h aberrant pericyte behavior, we performed a
transcriptome analysis of patient-derived donor control
158 Transcriptome analysis of patients' cells highlights nov
159 Comparative
transcriptome analysis of pigeon and chicken retinas at
160 In this study, we conducted whole
transcriptome analysis of post-mortem brain tissues (cin
161 Transcriptome analysis of premorbid genetic risk identif
162 Here we use RNA-sequencing to perform whole
transcriptome analysis of primary monocytes from thirty
163 on of data from MPseq, exome sequencing, and
transcriptome analysis of primary PDAC cases identified
164 Transcriptome analysis of primary Pirb(+/+) and Pirb(-/-
165 Transcriptome analysis of RAGE(+) versus RAGE(-) T cells
166 Transcriptome analysis of rapamycin-treated cells reveal
167 Transcriptome analysis of rice cells treated with the TO
168 Transcriptome analysis of SCI tissue at day 1 identified
169 Transcriptome analysis of single acinar cells revealed t
170 Transcriptome analysis of single prokaryotic cells is a
171 We used
transcriptome analysis of the betalain-producing plants
172 Transcriptome analysis of the epilines and a line select
173 A
transcriptome analysis of the global effects of H2O2 on
174 Here, through post-mortem genome-wide
transcriptome analysis of the largest cohort of samples
175 We performed a
transcriptome analysis of the major human lung cancer en
176 Transcriptome analysis of the retina from miR-211-/- mic
177 Through
transcriptome analysis of the roots, an oxidosqualene cy
178 Comparative
transcriptome analysis of the row-type mutants vrs3, vrs
179 Using next-generation sequencing, whole-
transcriptome analysis of the Salmo salar response to IS
180 gh-sensitivity mutation detection with whole-
transcriptome analysis of the same single cell.
181 Finally, we used
transcriptome analysis of the striatum via messenger RNA
182 Transcriptome analysis of the transgenic seeds revealed
183 Transcriptome analysis of the wild-type and dcl3 mutant
184 Transcriptome analysis of these acute tetraploid cells r
185 ced miR-132 expression in keratinocytes, and
transcriptome analysis of these cells revealed that miR-
186 A
transcriptome analysis of these complemented plants show
187 Transcriptome analysis of these mutants identified a so
188 Host
transcriptome analysis of tissue samples processed by la
189 eous landscape of genetic perturbations, and
transcriptome analysis of transformed T cells further hi
190 Transcriptome analysis of treated and untreated C. albic
191 Transcriptome analysis of Tregs was consistent with alte
192 Transcriptome analysis of trigeminal ganglia from latent
193 A time-course
transcriptome analysis of two cassava varieties that are
194 Transcriptome analysis of ventricular RNA after Angioten
195 Transcriptome analysis of wild-type and cyclooxygenase-2
196 Transcriptome analysis of xrn4-5 and vcs-8 mutant seeds
197 We conducted
transcriptome analysis of zebrafish heart and searched f
198 Although genome-wide
transcriptome analysis on diseased tissues has greatly a
199 Here, we performed
transcriptome analysis on dozens of epicardial lineage c
200 al epilepsy are poorly defined, we performed
transcriptome analysis on human epileptogenic tissue.
201 portion of genome, we conducted a total leaf
transcriptome analysis on maize plants subjected to prol
202 combining patch clamping, morphological and
transcriptome analysis on single-human neurons in vitro,
203 ncing and developed a pipeline called TAPIS (
Transcriptome Analysis Pipeline for Isoform Sequencing)
204 We performed detailed
transcriptome analysis,
quantitative real-time reverse-t
205 We designed the START (Shiny
Transcriptome Analysis Resource Tool) App with these req
206 Transcriptome analysis revealed 17 genes that were diffe
207 Antennal
transcriptome analysis revealed a number of abundantly e
208 Transcriptome analysis revealed a selective deficiency i
209 Genome-wide
transcriptome analysis revealed CB1R-dependent, tumor-in
210 A focused
transcriptome analysis revealed changes consistent with
211 Detailed
transcriptome analysis revealed expression throughout ch
212 However,
transcriptome analysis revealed genotype-dependent diffe
213 Transcriptome analysis revealed impaired expression and
214 In addition, our
transcriptome analysis revealed spatio-temporal regulato
215 Transcriptome analysis revealed TGF-beta1-dependent chan
216 Transcriptome analysis revealed that 580 genes were decr
217 Transcriptome analysis revealed that a number of cell wa
218 Transcriptome analysis revealed that antioxidant gene ex
219 Neutrophil
transcriptome analysis revealed that decreased apoptosis
220 Transcriptome analysis revealed that each of these domai
221 Transcriptome analysis revealed that four nitrogen-relat
222 IgVH
transcriptome analysis revealed that islet-infiltrating
223 Transcriptome analysis revealed that loss of Foxp1 and F
224 migration in vitro Functional proteomic and
transcriptome analysis revealed that loss of hypoxia-reg
225 Transcriptome analysis revealed that M9 induces a gradua
226 Additionally, whole
transcriptome analysis revealed that miR-30c mimic signi
227 Whole-genome
transcriptome analysis revealed that overexpression of V
228 Transcriptome analysis revealed that salt stress-induced
229 Transcriptome analysis revealed that SIP(+) triggers the
230 RNA-sequencing-based
transcriptome analysis revealed that tetracycline-mediat
231 Whole
transcriptome analysis revealed that the H201R replaceme
232 Transcriptome analysis revealed that trisomy 21 activate
233 Transcriptome analysis revealed that various phytohormon
234 Transcriptome analysis revealed that while Chd8 stimulat
235 Transcriptome analysis revealed that Wnt pathway, chemok
236 Transcriptome analysis revealed that YY1 is required for
237 More broadly,
transcriptome analysis revealed that ZFP407 regulates ma
238 Muscle
transcriptome analysis revealed the induction of mitocho
239 Transcriptome analysis revealed up-regulation of genes i
240 Global
transcriptome analysis reveals a major temperature-sensi
241 Importantly, genome-wide
transcriptome analysis reveals a Zeb2 target gene encodi
242 Subsequent genome-wide
transcriptome analysis reveals altered expression of gen
243 Comparative
transcriptome analysis reveals that carbon starvation st
244 Genome-wide
transcriptome analysis reveals that lipid biosynthetic e
245 Investigation of the underlying mechanism by
transcriptome analysis reveals that Mtvrn2 mutants preco
246 Additionally,
transcriptome analysis reveals that PPARgamma is the key
247 Transcriptome analysis reveals upregulation of homologou
248 Transcriptome analysis reveals upregulation of Wnt7a wit
249 g in hematopoietic progenitor cells by whole
transcriptome analysis (
RNA-seq).
250 d by sequencing (ChIP-seq), in parallel with
transcriptome analysis (
RNA-seq).
251 Transcriptome analysis showed a remarkably higher expres
252 EBV
transcriptome analysis showed expression of vIL-10 trans
253 Longitudinal
transcriptome analysis showed that expression subtype is
254 In this study, microarray
transcriptome analysis showed that the absence of a gene
255 Subsequent
transcriptome analysis showed that the reduction in miR-
256 SA CMCs are indistinguishable; nevertheless,
transcriptome analysis showed that they possess fundamen
257 Transcriptome analysis shows diminished RNA levels of nu
258 Transcriptome analysis shows that dosage compensation ha
259 A hypothesis-generating whole
transcriptome analysis shows that HBL tumors removed at
260 Thus, vascular
transcriptome analysis shows that S1P pathway is critica
261 single-cell mass cytometry with genome-wide
transcriptome analysis shows that the amine groups reduc
262 Transcriptome analysis shows that TSPY and TSPX expressi
263 Transcriptome analysis shows that, in addition to those
264 Automated reference-based bacterial RNA-seq
Transcriptome Analysis (
SPARTA).
265 Integrated chromatin occupancy and
transcriptome analysis suggest a role for SOX10 in both
266 Transcriptome analysis suggested that low sulfur causes
267 Transcriptome analysis suggests specific alterations to
268 Transcriptome analysis suggests that the immunoproteasom
269 Transcriptome analysis suggests that these forces result
270 ssion (CAGE) is a high-throughput method for
transcriptome analysis that provides a single base-pair
271 Our results validate the use of
transcriptome analysis to assess the cancer cell line re
272 Erdr1 expression was identified by
transcriptome analysis to be elevated in splenic T cells
273 Notch signaling, and performed a genome-wide
transcriptome analysis to identify other potential Sp1 t
274 We carried out a genome-wide
transcriptome analysis to identify the differentially ex
275 We applied digital
transcriptome analysis to precisely timed samples to ide
276 on lines, whole-genome sequencing, and whole-
transcriptome analysis to study the locations and rate a
277 Transcriptome analysis underscored the functional differ
278 ntially expressed genes in a high-throughput
transcriptome analysis using claudin-7-manipulated cells
279 Furthermore,
transcriptome analysis using IL-17A(hCD2) reporter mice
280 By performing genome-wide
transcriptome analysis using MEF2D-depleted neonatal car
281 Transcriptome analysis using mouse embryonic fibroblasts
282 moderate alcohol consumption, we performed a
transcriptome analysis using PBMCs isolated on day 7 pos
283 Genome-wide
transcriptome analysis (
using RNA sequencing) of early d
284 ons which could open up new opportunities in
transcriptome analysis,
virology, and other fields.
285 l legume Medicago truncatula Tissue-specific
transcriptome analysis was achieved by laser-capture mic
286 Transcriptome analysis was performed to identify genes d
287 By
transcriptome analysis we demonstrate how an HPT variati
288 By
transcriptome analysis,
we demonstrated that the ptsG ge
289 and candidate drug screening, combined with
transcriptome analysis,
we discover that nicotinamide (N
290 (SA) endophthalmitis and performing retinal
transcriptome analysis,
we discovered progressive change
291 Through whole-
transcriptome analysis,
we find that in individuals with
292 Using genome-wide binding and
transcriptome analysis,
we found that Daxx and Atrx have
293 Through whole-genome
transcriptome analysis,
we found that Obelus is required
294 Through
transcriptome analysis,
we have identified targets of mi
295 Through
transcriptome analysis,
we identified 114 common bean ge
296 Using microRNA-
transcriptome analysis,
we identified miR-155 as a downr
297 g RNAP behavior at single-molecule level and
transcriptome analysis,
we reveal that adaptation to con
298 For the
transcriptome analysis,
we used conventional tools as we
299 ter the intervention and subjected to global
transcriptome analysis with Gene 1.1 ST Arrays (Affymetr
300 osis (with TUNEL staining), and we performed
transcriptome analysis (
with RNA sequencing).