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1 rwent identical clamp procedures and hepatic transcriptome analyses.
2 in profiles with ex vivo islet secretome and transcriptome analyses.
3 y mask the direct impact of those factors in transcriptome analyses.
4 ed explicitly in other published gpa1 mutant transcriptome analyses.
5 lated mature mRNAs are the focus of standard transcriptome analyses.
6 y a combination of metabolome, proteome, and transcriptome analyses.
7 abases that incorporate information from the transcriptome analyses.
8 r genes was examined using double mutant and transcriptome analyses.
9 dosage effects have been confirmed by recent transcriptome analyses.
10 ouse forebrain progenitors using single-cell transcriptome analyses.
11 udy, we report the mechanisms of AS6 through transcriptome analyses.
12 low level of technical noise for single-cell transcriptome analyses.
13 es, as identified by spatial and single-cell transcriptome analyses.
14 gh H3K4me3 chromatin immunoprecipitation and transcriptome analyses.
15 ltiparametric flow cytometry and single-cell transcriptome analyses.
16  with pathogenic ncRNAs, using comprehensive transcriptome analyses.
17  L. camara leaf (LCL) and root (LCR) de novo transcriptome analyses.
18  We collected colons from mice and performed transcriptome analyses.
19 r 2 h (R2) and 48 h (R48)), were sampled for transcriptome analyses.
20 were identified in prior work by comparative transcriptome analyses.
21                                     Based on transcriptome analyses across 36 environmental condition
22                                              Transcriptome analyses across nonhuman primates and huma
23                                 Proteome and transcriptome analyses aim at comprehending the molecula
24                         Genome sequences and transcriptome analyses allow the correlation between gen
25 ese data with previous microarray and global transcriptome analyses allowed us to expand the putative
26                                              Transcriptome analyses also showed that some genes are a
27 isoform abundance is critical for downstream transcriptome analyses and can lead to precise molecular
28                                              Transcriptome analyses and cell transformation assays fu
29                                              Transcriptome analyses and functional studies show anter
30               Lastly, quantitative data from transcriptome analyses and gene ontology partitioning we
31                               By using whole-transcriptome analyses and phenotypic screenings of the
32                      Integration of monocyte transcriptome analyses and plasma metabolomes showed a d
33                                              Transcriptome analyses and quantitative identification o
34                                              Transcriptome analyses and sequential adoptive transfer
35  melphalan/elimusertib were assessed through transcriptome analyses and showed dysregulation of key o
36                                    Moreover, transcriptome analyses and the concentration of sodium i
37                                        Whole-transcriptome analyses and whole-genomic profiling of th
38 n quantitative trait loci, binding motif and transcriptome analyses, and biological experiments were
39                         Metabolic profiling, transcriptome analyses, and ChIP-qPCR revealed that hist
40 metabolic pathways, as indicated by unbiased transcriptome analyses, and impaired mitochondrial funct
41  comprehensive co-expression and comparative transcriptome analyses, and in total, supports the emerg
42 DSWhole-exome sequencing, yeast 2-hybrid and transcriptome analyses, and molecular characterization w
43                                  Genome-wide transcriptome analyses as well as biochemical and histol
44                                  Genetic and transcriptome analyses associated a mutation in the vinc
45                  Peripheral blood and T cell transcriptome analyses associated the GCC2 gene and LIMS
46                                        M /MG transcriptome analyses at the bulk and single-cell level
47                                              Transcriptome analyses before and during nivolumab thera
48 he complete molecular signatures of cells by transcriptome analyses but also the cascade of events th
49                                              Transcriptome analyses by RNA-seq were conducted as a fu
50 ull-down experiments, live cell imaging, and transcriptome analyses, cell lines were applied that ind
51  of Sub1A-1-mediated tolerance, we performed transcriptome analyses comparing the temporal submergenc
52                                 We performed transcriptome analyses comparing wild-type (WT) EHEC and
53                                  Single-cell transcriptome analyses confirm segregation of trophectod
54         Genome-wide protein localization and transcriptome analyses demonstrate overlapping gene regu
55                                         Bulk transcriptome analyses demonstrate that iMGL cells have
56                                       Recent transcriptome analyses demonstrated a high number of cis
57 mmunoprecipitation-sequencing, with parallel transcriptome analyses determined by RNA sequencing.
58 ogether, our functional and hormone-specific transcriptome analyses document the broad applicability
59 etically deficient mouse strains, and global transcriptome analyses failed to associate the protectiv
60                                              Transcriptome analyses find these expanded synovial CD8
61 We employed these models in conjunction with transcriptome analyses following cyclophosphamide treatm
62 , we present an integrated DNA methylome and transcriptome analyses for defining the early-life epige
63                            Prior large-scale transcriptome analyses for sex differences in schizophre
64              Taken together, our single cell transcriptome analyses for the developing ARC uncovered
65                                 Furthermore, transcriptome analyses from cortex and hippocampus highl
66 le stem/progenitor cells (iMPCs) single-cell transcriptome analyses from FOP also revealed unusually
67                                              Transcriptome analyses from lung adenocarcinomas indicat
68                                  Single-cell transcriptome analyses further reveal distinct roles for
69                                              Transcriptome analyses further revealed no significant c
70                                     Previous transcriptome analyses have identified candidate molecul
71                               Interestingly, transcriptome analyses have identified SOCS2 as being pr
72                           Recent single-cell transcriptome analyses have provided a comprehensive Sst
73                                              Transcriptome analyses have recently identified PARP12,
74                  Advances in high-throughput transcriptome analyses have revealed hundreds of antisen
75 cularly true for non-coding RNAs where whole transcriptome analyses have revealed that the much of th
76                                       Recent transcriptome analyses have shown the differential expre
77                                              Transcriptome analyses have systematically been challeng
78                                              Transcriptome analyses have typically disregarded nucleo
79                                              Transcriptome analyses have unraveled extensive heteroge
80                                       Global transcriptome analyses highlighted commonality in transc
81                              Subsequent mRNA transcriptome analyses highlighted several genes induced
82 nt reads improves the accuracy of genome and transcriptome analyses, however lack of consensus betwee
83                                              Transcriptome analyses identified a small number of gene
84                                  Genome-wide transcriptome analyses identified an uncharacterized tri
85                              Fine resolution transcriptome analyses identified expression gradients f
86    These results from integrated protein and transcriptome analyses identified individual genes and p
87                                              Transcriptome analyses identified markedly different gen
88                                        Whole-transcriptome analyses identified multiple splicing chan
89                                              Transcriptome analyses identify clusters of co-regulated
90                                  Single cell transcriptome analyses identify distinct monocyte/macrop
91                Furthermore, our ChIP-seq and transcriptome analyses identify that ZFP541 binds to and
92                                          Our transcriptome analyses identify the interleukin 21 (IL21
93                            Cell biologic and transcriptome analyses implicate dysregulation of ciliog
94 nce-associated secretory phenotype and whole-transcriptome analyses implicated the p38 MAPK/IL8 pathw
95                     Using cell-type-specific transcriptome analyses in a rodent model of chronic dopa
96                    By performing genome-wide transcriptome analyses in cell-cycle-synchronized cells,
97                               Adipose tissue transcriptome analyses in children indicate that humans
98                           Flow cytometry and transcriptome analyses in irradiated animal models confi
99                                              Transcriptome analyses in Koolen-de Vries patient-derive
100    We also performed comparative genome-wide transcriptome analyses in livers of MLL3, MLL4, and MLL3
101       Using co-culture experiments and mouse transcriptome analyses in syngeneic mouse models, we pro
102        To identify these genes, we performed transcriptome analyses in the striatum in 6-hydroxydopam
103                                              Transcriptome analyses indicate a highly specific tempor
104                                              Transcriptome analyses indicate dynamic and orchestrated
105                  Phenotypic, functional, and transcriptome analyses indicate that 2 degrees effectors
106                                       Cancer transcriptome analyses indicate that AHNAK-53BP1 coopera
107                   Epistasis, biochemical and transcriptome analyses indicate that ARF6 and ARF8 are d
108                                              Transcriptome analyses indicate that diapause is an acti
109                     Multiple disease-related transcriptome analyses indicate that most up-regulated N
110                       Further, comprehensive transcriptome analyses indicate that SFPQ plays a key ro
111 es, the red/far-red photoreceptors; however, transcriptome analyses indicate that the gene regulatory
112                                              Transcriptome analyses indicated that FixK positively re
113                                        Whole-transcriptome analyses indicated that SARM1 deficiency l
114                                              Transcriptome analyses indicated that these miRNA:target
115     Nanopore long-read methylome and RNA-seq transcriptome analyses indicated young retrotransposon s
116 mmon to the vast majority of high-throughput transcriptome analyses, is that the expression of most g
117 phila melanogaster (fruit fly) genetics with transcriptome analyses it was found that the beneficial
118 idual X-linked genes and by microarray-based transcriptome analyses, it was challenged by a recent st
119      After comparing the published data from transcriptome analyses, mutant studies, and exogenous ho
120                       Using a combination of transcriptome analyses, mutants, and reporter constructs
121                        But cancer genome and transcriptome analyses now paint a picture far more comp
122                     We performed single-cell transcriptome analyses of 14,441 cells from embryonic da
123       Using single-base methylation maps and transcriptome analyses of a colitis-induced mouse colon
124 ent of gene expression variation through the transcriptome analyses of a large maize-teosinte experim
125                 Unexpectedly, unbiased whole-transcriptome analyses of adipose macrophages revealed t
126                                              Transcriptome analyses of age-matched deletion mice show
127 iated syndromes and the previously published transcriptome analyses of ALF transcription factors sugg
128 uman genome-wide association studies (GWAS), transcriptome analyses of animal models, and candidate g
129                         Here, metabolome and transcriptome analyses of anthers from mutant and overex
130                                              Transcriptome analyses of At vip2 suggest that VIP2 is l
131                                 In addition, transcriptome analyses of Brassica homologues of Arabido
132              We provide single-cell and bulk transcriptome analyses of CD49f(+) hiPSC-astrocytes and
133       Here, through integrated epigenome and transcriptome analyses of cell lines, genotyped clinical
134 ns of both KAP1 and associated histones, and transcriptome analyses of cells deficient in KAP1.
135                                              Transcriptome analyses of CIP-deficient hearts revealed
136                                              Transcriptome analyses of CLL and the main normal B cell
137                                  Genome-wide transcriptome analyses of conditional heart-specific p53
138                                              Transcriptome analyses of DFU tissue showed induction of
139                                              Transcriptome analyses of estrus stage uteri revealed a
140                            Here, we combined transcriptome analyses of FACS-sorted cells and single-c
141 with the general CDK inhibitor flavopiridol, transcriptome analyses of FIT-039-treated cells revealed
142 s 336 proteins not previously represented in transcriptome analyses of guard cells and 52 proteins cl
143                           We report here the transcriptome analyses of highly expressed genes that ar
144 survival genes has been investigated through transcriptome analyses of highly responsive, primary bon
145 nrichment platform and conducted large-scale transcriptome analyses of human cytomegalovirus (HCMV) i
146                                              Transcriptome analyses of Kap1-deleted B splenocytes rev
147                                              Transcriptome analyses of KRT19 knockout cells identifie
148                                              Transcriptome analyses of laser-capture microdissected n
149                We have conducted single cell transcriptome analyses of mouse and human model systems
150                   We performed cross-species transcriptome analyses of mouse and human neurofibromas
151                 We performed high-throughput transcriptome analyses of multiple placenta samples from
152 as been a recent burst of articles reporting transcriptome analyses of Mycobacterium tuberculosis, in
153                                  Single-cell transcriptome analyses of myeloid lineage cells from pre
154                                        Whole transcriptome analyses of next generation RNA sequencing
155 bb but not neuroglobin or cytoglobin mRNA in transcriptome analyses of nigral dopaminergic neurons.
156                                              Transcriptome analyses of overexpressing hairy roots and
157                                              Transcriptome analyses of postmortem mRNA from a tissue
158                                   We present transcriptome analyses of primary cultures of human feta
159 MCs) in the adult thymus, we performed whole transcriptome analyses of primary thymic, bone, and skin
160               Physiological, metabolome, and transcriptome analyses of receptacles of FaRIF-silenced
161                                              Transcriptome analyses of rodent whole dorsal root gangl
162                                     Previous transcriptome analyses of seed development in grape reve
163                                  Genome-wide transcriptome analyses of several bacterial species have
164                              Until recently, transcriptome analyses of single cells have been confine
165                                              Transcriptome analyses of Spodoptera frugiperda larvae i
166  study provide a starting point for detailed transcriptome analyses of stem cells.
167            Here, we integrate metabolome and transcriptome analyses of Stevia to explore the biosynth
168                                              Transcriptome analyses of T cells identified Foxo1-regul
169              We present the first genome and transcriptome analyses of the cinereous vulture compared
170                                              Transcriptome analyses of the EBB1 transgenics identifie
171 e for the first time, we present comparative transcriptome analyses of the fruiting bodies of three m
172                                              Transcriptome analyses of the insulin response, in the a
173       Here, we report the use of genome-wide transcriptome analyses of the marine diatom Thalassiosir
174                                     Previous transcriptome analyses of the secondary xylem of teak tr
175 g their regenerative potential, we performed transcriptome analyses of these cells along with primary
176                                              Transcriptome analyses of these cells suggest that Lb1 i
177 ata on linkage, whole-genome sequencing, and transcriptome analyses of these dogs compared to severel
178 igated tumorigenesis and metastasis of MM in transcriptome analyses of three distinct cell lines that
179         Upon tumor formation, phenotypic and transcriptome analyses of tumor cells revealed salient O
180                       Immunofluorescence and transcriptome analyses of two-cell embryos revealed that
181                      Recent whole-genome and transcriptome analyses of Y chromosomes in humans and ot
182                                              Transcriptome analyses often have focused on housekeepin
183                                 We conducted transcriptome analyses on 835 obese subjects with mean B
184                                       Global transcriptome analyses on neural tubes isolated from E9.
185                              Allele-specific transcriptome analyses on queen- and worker-destined lar
186  transformed cell lines, we performed global transcriptome analyses on resting B cells and on EBV and
187                                              Transcriptome analyses on the rumen epithelium and meta-
188 thology and multigene family classification, transcriptome analyses, phylogenetic analyses, and patho
189               Here, we show that comparative transcriptome analyses predict remodeling of extracellul
190                               Through global transcriptome analyses, proteasomal inhibition showed co
191                           The enrichment and transcriptome analyses provided convergent support that
192                        Furthermore, targeted transcriptome analyses provided evidence of activated im
193                                              Transcriptome analyses, real-time PCR, and immunoblottin
194 the direct cause of mortality and results of transcriptome analyses remained undetermined in Mbnl com
195                              The comparative transcriptome analyses reveal a critical role of NODAL s
196                                  Comparative transcriptome analyses reveal modules related to cambial
197                                    Lipid and transcriptome analyses reveal physiological differences
198                      Human and murine T cell transcriptome analyses reveal that inhibition of microgl
199                                  Genome-wide transcriptome analyses reveal that molecular pathways in
200                                          Our transcriptome analyses reveal that only a fraction of or
201                                              Transcriptome analyses reveal that SAR establishment in
202                                  Single-cell transcriptome analyses reveal that, notwithstanding quan
203                                              Transcriptome analyses revealed a consistent up-regulati
204                   Additionally, longitudinal transcriptome analyses revealed a more persistent retent
205                               In accordance, transcriptome analyses revealed broad similarities in ge
206                                              Transcriptome analyses revealed butyrate-induced downreg
207                                        Whole transcriptome analyses revealed changes in the gene expr
208                                  Genome-wide transcriptome analyses revealed changes to 11 834 genes
209                                              Transcriptome analyses revealed distinct gene expression
210                                              Transcriptome analyses revealed expression of genes enco
211                                              Transcriptome analyses revealed extensive suppression of
212                          Accordingly, global transcriptome analyses revealed large scale gene express
213                                         Diel transcriptome analyses revealed significant accession-sp
214                                  Genome-wide transcriptome analyses revealed that 89 apoptosis-associ
215                      Subsequent whole-genome transcriptome analyses revealed that genes associated wi
216                                Proteomic and transcriptome analyses revealed that genetic silencing o
217      Additional experiments motivated by the transcriptome analyses revealed that growth on a surface
218                              High-resolution transcriptome analyses revealed that reduced PRPF6 alter
219                                              Transcriptome analyses revealed that ROR1 x TCL1 leukemi
220                      Immunohistochemical and transcriptome analyses revealed that Scrib-null tumors d
221                            Single-cell-based transcriptome analyses revealed that skeletal muscle-res
222                                  Genome-wide transcriptome analyses revealed that Th1-polarized infla
223                                              Transcriptome analyses revealed that the clustered regul
224                                              Transcriptome analyses revealed that the sigA(G336C) sub
225                                              Transcriptome analyses revealed that, in the absence of
226  shared by all Brassicaceae, cytogenetic and transcriptome analyses revealed two younger WGD events t
227 enome-wide chromatin immunoprecipitation and transcriptome analyses (RNA-Seq), we identified a subset
228                                        Whole-transcriptome analyses show similarity to pre-gastrulati
229                                              Transcriptome analyses show that DFPM also stimulates ex
230                                              Transcriptome analyses show that expression of extracell
231                                  Single-cell transcriptome analyses show that in the patients with po
232                                              Transcriptome analyses show that knockdown of LASER affe
233                            More importantly, transcriptome analyses show that MM-401 induces changes
234                                              Transcriptome analyses show upregulation of RhoA, BMP2,
235            In agreement with these findings, transcriptome analyses showed a strong DG172-mediated re
236                                              Transcriptome analyses showed changes in mRNA levels for
237                                              Transcriptome analyses showed similarities to correspond
238                                              Transcriptome analyses showed that 11,328 of the oligonu
239                                       Global transcriptome analyses showed that ChlR controls the exp
240                                              Transcriptome analyses showed that Foxo proteins regulat
241                         In vivo and in vitro transcriptome analyses showed that NPC-secreted factors
242                         Combined genetic and transcriptome analyses showed that Rsf-1 (HBXAPalpha) wa
243                                              Transcriptome analyses showed that the expression of gen
244                                              Transcriptome analyses showed that the protective effect
245                                Starting with transcriptome analyses, single-cell techniques have exte
246 s method is routinely used to validate whole transcriptome analyses such as DNA microarrays, suppress
247   Our previous genome-wide microRNA and mRNA transcriptome analyses suggest a key role for miR-153 in
248                                              Transcriptome analyses suggest that carotenoid degradati
249                                              Transcriptome analyses suggest that the Ly6C(lo) monocyt
250                                              Transcriptome analyses suggest TWSG1 is produced during
251                                              Transcriptome analyses suggested a possible role for ver
252  transcription polymerase chain reaction and transcriptome analyses suggested nonsense mRNA decay as
253            Adoptive transfer experiments and transcriptome analyses support a stepwise model of diffe
254                                              Transcriptome analyses supported these physiologic findi
255                                              Transcriptome analyses supported this synergy and sugges
256                         We report here whole-transcriptome analyses that characterize CcpA-dependent,
257                         We here report whole transcriptome analyses that characterize glucose-depende
258                                           By transcriptome analyses the early suppression of genes as
259                                  However, in transcriptome analyses, the majority of their predicted
260 ng to be available and will be necessary for transcriptome analyses to become routine tests in the cl
261       We used morphological, functional, and transcriptome analyses to benchmark maturation of EHM.
262 ied by only a single amino acid in CovS, and transcriptome analyses to characterize the impact of Cov
263                                    Moreover, transcriptome analyses to compare gene expression patter
264  the neck and occiput and performed targeted transcriptome analyses to determine expression level of
265                               We used global transcriptome analyses to determine if these physiologic
266 d lineage-tracing approaches and single-cell transcriptome analyses to determine origin, transcriptio
267                  In this study, we performed transcriptome analyses to elucidate the PrbP regulon in
268                                 We have used transcriptome analyses to gain insights into the scope o
269 hese results can be utilized to guide future transcriptome analyses to identify candidate genes that
270                                 We performed transcriptome analyses to identify genes controlled by t
271 nt the duck genome sequence and perform deep transcriptome analyses to investigate immune-related gen
272 t the feasibility of integrating genomic and transcriptome analyses to map critical neurodevelopmenta
273 port single cell RNA sequencing and unbiased transcriptome analyses to reveal major distinctions betw
274     In a previous study, we used comparative-transcriptome analyses to select a group of genes that w
275                                      We used transcriptome analyses to show that MYCN-amplified neuro
276                                 In addition, transcriptome analyses uncovered that CNPY2 is also requ
277                                              Transcriptome analyses under different salt growth condi
278                                          The transcriptome analyses used microarray hybridization and
279                                              Transcriptome analyses using GeneChip and RNA-sequencing
280                              Using sensitive transcriptome analyses we identified 2263 cellular genes
281    Through the use of high-resolution global transcriptome analyses, we demonstrated a female-biased
282                                           By transcriptome analyses, we found caveolin1, caveolin3 an
283                                     Based on transcriptome analyses, we identified GRASSY TILLERS1 (H
284  association studies, selection signals, and transcriptome analyses, we identify genes associated wit
285                        On the basis of whole-transcriptome analyses, we identify many genes that are
286 WAS, expression quantitative trait loci, and transcriptome analyses, we selected 30 AD single nucleot
287                               Using unbiased transcriptome analyses, we show a pronounced separation
288    In this study, using detailed genomic and transcriptome analyses, we show that CenH3 was lost inde
289                      By combining genome and transcriptome analyses, we showed that molecular diagnos
290                                              Transcriptome analyses were carried out in the liver tis
291 yping, and genotyping, and blood samples for transcriptome analyses were obtained within 24 hours of
292                 Comprehensive phenotypic and transcriptome analyses were performed in the iPSC-CMs.
293       Biochemical, immunohistochemistry, and transcriptome analyses were performed on the pancreatic
294                                              Transcriptome analyses were used to address the relation
295                                  Comparative transcriptome analyses were used to identify potential c
296                                  Integrative transcriptome analyses were used to investigate how TP-0
297                      Genome-wide genetic and transcriptome analyses were used to investigate the orig
298 his striking difference was reflected in the transcriptome analyses, which revealed enrichment of cel
299                    By combining whole-genome transcriptome analyses with (live) imaging mass spectrom
300           We combined comparative genome and transcriptome analyses with the experimental tools avail

 
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