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1                                              ChIP and CDA activity assays showed that MUC1 occupied C
2                                              ChIP and luciferase assays demonstrate that Egr1 directl
3                                              ChIP assays showed enhanced binding of NF-[Formula: see
4                                              ChIP assays shows that CTK-1 phosphorylates the RNAPII C
5                                              ChIP followed by next-generation sequencing (ChIP-Seq) i
6                                              ChIP identified Stat6 as a direct gene target of c-Myc i
7                                              ChIP is used to quantify enriched genomic regions using
8                                              ChIP results indicated that the TMG treatment decreases
9                                              ChIP studies demonstrated that FoxO1 binds to three dist
10                                              ChIP studies showed that TFII-I binds to this INR.
11                                              ChIP-enriched DNA was hybridized to a custom promoter mi
12                                              ChIP-PCR assays show that as autoinducer concentration i
13                                              ChIP-qPCR experiments revealed increased beta-catenin re
14                                              ChIP-qPCR unraveled that YAP-5SA overexpression increase
15                                              ChIP-seq (Chromatin Immunoprecipitation followed by sequ
16                                              ChIP-seq analyses revealed that MYC2 and MYC3 bind direc
17                                              ChIP-seq analyses show high colocalization of HMGNs and
18                                              ChIP-seq analysis confirmed that LSH is a major regulato
19                                              ChIP-Seq analysis indicated that ER binding is reduced i
20                                              ChIP-Seq analysis of bone marrow cells derived from six
21                                              ChIP-seq analysis of the human CLB-GA neuroblastoma cell
22                                              ChIP-Seq analysis revealed three MafK binding regions (-
23                                              ChIP-seq and ChIP-qPCR provided evidence that the CDK in
24                                              ChIP-Seq defined the RARgamma cistrome, which was signif
25                                              ChIP-Seq experiments identify candidate targets unique t
26                                              ChIP-seq for WT1 showed significant overlap with genes f
27                                              ChIP-Seq is a widespread experimental method for determi
28                                              ChIP-seq is one of the core experimental resources avail
29                                              ChIP-seq of DNA associated with DONSON or FANCM confirms
30                                              ChIP-Seq revealed that CBFA2T3 targets the RARalpha/RXRa
31                                              ChIP-seq studies demonstrate that the H3K36 methylation
32                                              ChIP-seq, ATAC-seq and RNA-seq experiments reveal that C
33                                              ChIP-seq-based genome-wide localization of the repressiv
34  RNA-sequencing of Nkx2-1 mutants and NKX2-1 ChIP-sequencing in mouse embryos, we delineate the NKX2-
35                            When tested on 12 ChIP-seq, ATAC-seq, RNA-seq and ChIA-PET datasets, pyBed
36                         ENCODE archives 2314 ChIP-seq tracks of 684 TFs and cofactors assayed across
37                             A549 and BEAS-2B ChIP-seq data reveal four common glucocorticoid-induced
38   The algorithms are employed to analyze 349 ChIP-Seq experiments from the ENCODE project, yielding a
39 ce features found near a target protein in a ChIP-seq experiment.
40                                 Results of a ChIP assay showed that chromatin obtained from the adren
41                  In addition, we performed a ChIP-Seq experiment that identified ANT binding sites in
42 in of defined nucleosomal standards within a ChIP procedure.
43 binding motifs from differential acetylation ChIP-seq data compared to other methods.
44                                  Despite AhR ChIP-seq enrichment at 2 h, OCM gene expression was not
45 resent a computational framework that aligns ChIP-exo crosslinking patterns from multiple proteins ac
46                                   We analyse ChIP-seq data from MEIS, TFs which are broadly expressed
47 n vivo protein-protein interaction analysis, ChIP-qPCR and EMSA were performed and suggested that HSI
48 ere, we perform gene expression analysis and ChIP followed by sequencing (ChIP-seq) in MCF-7 breast c
49                  Transcriptomic analysis and ChIP-PCR together demonstrated that protein kinase D1 (P
50        Using in silico analysis of ATAC- and ChIP-Seq databases in conjunction with mouse gonad expla
51                        Target engagement and ChIP-seq analysis showed that the compounds inhibited th
52 for combined analysis of gene expression and ChIP-seq data to enhance the inference of transcriptiona
53                              Our genetic and ChIP-seq (chromatin immunoprecipitation [ChIP] combined
54   Here, combination of in vivo (genetics and ChIP-seq), in vitro (surface plasmon resonance) and phyl
55                              Using iCLIP and ChIP-seq, we found that human cyclin-dependent kinase 11
56 e increasingly large number of DAP motif and ChIP-seq data publicly available to explore how DAP asso
57 t and high-throughput sample preparation and ChIP analysis of 96 samples (cell culture or tissues) in
58                           Gene profiling and ChIP-Seq analysis identified Klk1b21 as an ICI-inducible
59 ichments of key defence genes using qPCR and ChIP-qPCR.
60 n ATC cells decreased their growth rate, and ChIP-Seq data indicated that CCAT1 is likely a direct ta
61                                   Rescue and ChIP experiments indicated that c-Myc bound to the promo
62 hairpin RNA-mediated gene silencing, RNA and ChIP sequencing analyses, and metabolite profiling, we s
63                                 ChIP-seq and ChIP-qPCR provided evidence that the CDK inhibitor direc
64                         Combined RNA-seq and ChIP-seq analysis of lymphomas from Lck-Dlx5;Lck-MyrAkt
65       In this study, we combined RNA-seq and ChIP-seq approaches to identify direct transcriptional t
66                            Using RNA-seq and ChIP-seq approaches we identified genes regulated direct
67 hrough a re-analysis of existing RNA-seq and ChIP-seq datasets.
68  DeltarsfG strains combined with RNA-seq and ChIP-seq experiments, suggests the involvement of SigG1
69  were isolated and subjected to mRNA-seq and ChIP-seq for the histone marks H3K4me3 and H3K27ac.
70 thod that integrates data from DNase-seq and ChIP-seq of TFs and histone marks.
71 gh single-cell transcriptomics, ATAC-Seq and ChIP-Seq profiling, we expose a key role for NFIB and NF
72  in the PLASMA credible sets for RNA-seq and ChIP-seq were enriched for open chromatin and chromatin
73                            Using RNA-seq and ChIP-seq, we determined that H-NS and LuxR co-regulate a
74                           Using ATAC-seq and ChIP-seq, we found that activation of JUN rendered promo
75   Whole genome-wide scRNA-seq, ATAC-seq, and ChIP-seq analyses reveal that ARID1A is required to open
76 in immunoprecipitation (ChIP) sequencing and ChIP assays, which was accompanied with enhanced NFKBIB
77  of approaches, including RNA-sequencing and ChIP-sequencing analyses, immunohistochemistry-based tis
78 site, and electrophoretic mobility shift and ChIP assays confirmed ATF3 binding to this sequence.
79 tor in neural development, we generated Ars2 ChIP-seq data.
80 t are prevalently observed in assays such as ChIP Sequencing and bisulfite sequencing.
81 xt-generation sequencing experiments such as ChIP-seq and ChIA-PET that generate coverage files for t
82 genetic and cis-regulatory datasets, such as ChIP-Seq, Promoter-Capture Hi-C or eQTL, and presents th
83                       Using reporter assays, ChIP assays, and retinoic acid receptor-gamma (RARgamma)
84                  Based on publicly available ChIP-seq and chromatin accessibility data as well as our
85 this study, we aggregated publicly available ChIP-seq data from 469 human DAPs assayed in three cell
86 ata are processed against publicly available ChIP-Seq data using Model-based Analysis of Regulation o
87 n detect differences in ChIP signals between ChIP samples and controls to identify absolute binding s
88 ype memberships of binding events using both ChIP-exo tag distribution patterns and DNA motifs.
89                                           By ChIP-seq analysis, CcpAV301A bound to DNA from 74% of ge
90 er and super-enhancer landscape after AKI by ChIP-seq in uninjured and repairing kidneys on day two a
91 er 2 (TM6SF2), the latter being confirmed by ChIP-qPCR.
92  sequence and epigenomic profiles derived by ChIP-seq from two species as input data, and outputs the
93 ducting a transcriptome analysis followed by ChIP-Seq coupled with a comprehensive metabolite analysi
94 arly show increased occupancy as measured by ChIP upon depletion or inactivation of Kin28.
95  in silico and chromatin studies in SCC25 by ChIP-seq of KLF4 and identify DeltaNp63 as a co-oncogeni
96 e developing palatal tissues was verified by ChIP-polymerase chain reaction analyses.
97                           We generated Hi-C, ChIP-seq, and RNA-seq data sets from CD4 T cells of B6,
98  detailed protocol for internally calibrated ChIP (ICeChIP), a method we recently developed to resolv
99                             Using calibrated ChIP-seq, we show that remodelling of histones during sp
100  which correlates strongly with REC8-cohesin ChIP-seq data.
101                            Here, we combined ChIP analysis with next-generation sequencing to identif
102                                 By combining ChIP-seq and single molecule live imaging we report that
103                                  Comparative ChIP-seq analysis identifies genomic loci bound by both
104 signals from many publicly available control ChIP-seq datasets.
105 s a rigorous comparison of the corresponding ChIP-seq data.
106 ing, we systematically analyze over 700 CTCF ChIP-seq profiles across human tissues and cancers and i
107 on of matched in situ Hi-C, RNA-seq and CTCF ChIP-seq datasets revealed widespread differences in int
108                              We perform CTCF ChIP-seq in multiple mouse species to create genome-wide
109      By comparing results with RNA-seq data, ChIP-seq peaks, and DNase-seq footprints, we show that M
110 t of a quantitative, physical model defining ChIP-Seq.
111 rk, MAnorm2 allows for abundant differential ChIP-seq signals between groups of samples as well as ve
112 outperformed existing tools for differential ChIP-seq analysis, especially when the groups of samples
113                    We utilized in vitro E2F2 ChIP-chip and over expression data to identify transcrip
114                                        EMSA, ChIP assay and real-time PCR analyses suggest CaWRKY40 b
115     Application of Crosscheck to 8851 ENCODE ChIP-, RNA-, and DNase-seq datasets enabled us to identi
116 for GenetIc Controllers (MAGIC), uses ENCODE ChIP-seq data to look for statistical enrichment of TFs
117                                 Using ENCODE ChIP-seq data of surrogate cell lines and motif analysis
118                        Analysis using ENCODE ChIP-sequencing data identified CTCF as the common trans
119 les that individually do not generate enough ChIP DNA for sequencing library preparation.
120 earch approach in conjunction with extensive ChIP-seq data to achieve a precise global distinction be
121                                     Finally, ChIP assays verified an ATF4-binding site in the LAMP3 g
122 l utilizes approaches initially designed for ChIP-seq or DNase-seq, without considering the transposa
123 challenge to define a quantitative scale for ChIP-Seq data, and as such, several approaches making us
124 RNA-seq studies, TF-target associations from ChIP-seq experiments, and TF-gene co-occurrence computed
125 e-specific transcription factor binding from ChIP-seq is enriched among ASM loci, but most ASM differ
126                                      Further ChIP-seq reveals that global effects on Pol II-binding a
127                                     Further, ChIP-seq analysis revealed a subset of genes for which A
128 hat characterize sequences of interest (e.g. ChIP-Seq binding regions).
129              Whole genome BRD4 and gammaH2AX ChIP-Seq with R-loop IP qPCR reveals that BRD4 inhibitio
130 genome can alter histone H3K4me1 and H3K27ac ChIP-seq peak calls either by creating new personal peak
131 map Epigenomics and ENCODE, and from H3K27Ac ChIP-seq data generated in 26 ovarian cancer and precurs
132 L-based fine mapping when applied to H3K27AC ChIP-seq from just 28 prostate tumor/normal samples.
133 omic landscapes of primary OCs using H3K27ac ChIP-seq and RNA-seq, and then integrate these with whol
134    By incorporating HiChIP data with H3K27ac ChIP-seq data, we identify interactions between enhancer
135 erforming H3-lysine-27 acetylation (H3K27ac) ChIP-seq in Enz-resistant CRPC cells, we identified a gr
136                          RNA-seq and H3.3-HA ChIP-seq analyses were performed on NAcc tissue collecte
137 14 and RNA-seq N=11) and nondiseased hearts (ChIP-seq N=4 and RNA-seq N=11).
138 ng RNA-seq, ChIP-seq, ATAC-seq, Hi-C, and Hi-ChIP data.
139 rates m(6)A/MeRIP-seq data with 1418 histone ChIP-seq and 118 DNase-seq data tracks from the ENCODE p
140 atin states were characterized using histone ChIP-seq and cis-regulatory elements were identified in
141 supervised learning approach for identifying ChIP-seq peaks using CNNs, and integrate it into a softw
142 s, (ii) a network topology assessment, (iii) ChIP-Seq evidence and (iv) the KnowEnG Knowledge Network
143               Chromatin immunoprecipitation (ChIP) assay showed that NF-kappaB interacts with the ITP
144            In chromatin immunoprecipitation (ChIP) assays with low dox, AR binding to sARE-containing
145 lpha to Zp in chromatin immunoprecipitation (ChIP) assays, but only when the HRE was present.
146 blotting, and chromatin immunoprecipitation (ChIP) coupled with sequencing.
147               Chromatin immunoprecipitation (ChIP) is the most important approach for profiling genom
148 a (NFKBIB) by chromatin immunoprecipitation (ChIP) sequencing and ChIP assays, which was accompanied
149  existing p53 chromatin immunoprecipitation (ChIP) sequencing, we identified a large repertoire of ti
150 rgets in IEC, chromatin immunoprecipitation (ChIP) was performed in Caco-2 IECs using HIF-1alpha- or
151            By chromatin immunoprecipitation (ChIP), we find that prp5 alleles decrease recruitment of
152 on (qRT-PCR), chromatin immunoprecipitation (ChIP)-PCR and EMSA were used to identify regulators of p
153 gamma-H2AX by chromatin immunoprecipitation (ChIP)-qPCR in order to uncover the mechanisms by which M
154               Chromatin immunoprecipitation (ChIP)-Seq and genetic analyses revealed that PvrA direct
155               Chromatin immunoprecipitation (ChIP)-seq and RNA-seq were performed to assess histone m
156 wide coupling chromatin immunoprecipitation (ChIP)-Seq datasets across hundreds of transcription fact
157 ng (RNA-seq), chromatin immunoprecipitation (ChIP)-seq, and genome-wide CRISPR analysis to map the mo
158 identified by Chromatin immunoprecipitation (ChIP).
159 g time-series chromatin immunoprecipitation (ChIP-seq) and/or DNA adenine methyltransferase identific
160               Chromatin-immunoprecipitation (ChIP-seq) confirmed its in vivo binding to sog_Distal bu
161 and ChIP-seq (chromatin immunoprecipitation [ChIP] combined with high-throughput sequencing) analyses
162                   We apply ncHMR detector in ChIP-seq data-rich cell types and predict non-classical
163      Moreover, CSA can detect differences in ChIP signals between ChIP samples and controls to identi
164 r example, FOX family motifs are enriched in ChIP-seq peaks of 37 other CAPs.
165 oci at the Hoxa/b gene clusters and Meis1 in ChIP-seq, together with NMR analysis of the H3K4me3-bind
166 ification of enhancers by signal strength in ChIP-seq assays has resulted in the establishment of sup
167                                      Indeed, ChIP-sequencing analysis confirmed an increase in the H3
168 gly enriched for the AP-1 motif, and indeed, ChIP-seq demonstrated AP-1 binding at >70% of them.
169                   Using antibody-independent ChIP-sequencing of REVERBalpha in mouse liver, we reveal
170       The accession number for the NF-kappaB ChIP-seq data generated for this study is Gene Expressio
171 nput gene sets, Lisa first uses histone mark ChIP-seq and chromatin accessibility profiles to constru
172        We performed RNA-seq and histone mark ChIP-seq to define the transcriptomes and epigenomes of
173              We integrated PIXUL with Matrix ChIP ('PIXUL-ChIP'), that allows for fast, reproducible,
174                However, even with microplate ChIP assays, sample preparation and chromatin fragmentat
175 hnology, FloChIP, automates and miniaturizes ChIP in a beadless fashion while facilitating the downst
176 een thousands of TF and histone modification ChIP-seq data sets with thousands of gene expression pro
177 thylation, ATAC-seq and histone modification ChIP-seq.
178           We previously developed a modified ChIP-seq protocol (FiT-seq) for chromatin profiling in F
179                                However, most ChIP-seq studies overlook the normalization that must be
180                                     Multiple ChIP-seq data and DNA methylation data generated from br
181 iously unseen genomic segments from multiple ChIP-seq datasets including benchmark datasets commonly
182 torial binding patterns of TFs from multiple ChIP-Seq profiles, interpret and visualize the combinato
183 ly state-of-the-art topic models to multiple ChIP-Seq datasets to decipher the combinatorial binding
184 and supports antibody- or sample-multiplexed ChIP on both histone marks and transcription factors.
185 -low-input micrococcal nuclease-based native ChIP-seq) shows that EZH1 could partially safeguard the
186 lation network from paired disease-to-normal ChIP-seq data.
187                ChIPseqSpikeInFree is a novel ChIP-seq normalization method to effectively determine s
188  results suggest that principled analyses of ChIP-exo crosslinking patterns enable inference of spati
189                       Integrated analyses of ChIP-seq, RNA-seq, and patient prognosis identified sphi
190                       Integrated analysis of ChIP-seq data and RNA sequencing revealed that H3K4 mono
191                              The analysis of ChIP-seq data is important but poses a difficult computa
192      Applying our approach to collections of ChIP-exo data, we demonstrate that it can recover aspect
193 ethod is inappropriate for the evaluation of ChIP-seq data when treatments or mutations have global e
194  tool for quantitatively comparing groups of ChIP-seq samples.
195                               Integration of ChIP-seq and RNA-seq data for master regulators of the H
196                               Integration of ChIP-seq and RNA-seq data revealed direct and HOXB13-dep
197 cts of an EZH2 inhibitor through the lens of ChIP-Seq.
198 a hierarchical strategy for normalization of ChIP-seq data and assesses within-group variability of C
199 R biases, are known to affect the outcome of ChIP-seq experiments.
200 A number of changes in community practice of ChIP-Seq, data reporting, and analysis are motivated by
201 A, which can complete the whole procedure of ChIP-seq analysis.
202 ata and assesses within-group variability of ChIP-seq signals based on an empirical Bayes framework.
203                 However, the huge volumes of ChIP-seq data make it almost impossible for human resear
204 tions and cofactors of a given HMR, based on ChIP-seq data mining.
205               A number of algorithms draw on ChIP-seq tracks to define TFs and cofactors behind gene
206  for pregenerated candidate binding sites or ChIP-seq training data.
207                                          Our ChIP assay revealed that GLI proteins are associated wit
208                                          Our ChIP-seq analysis showed that mH2A1 and mH2A2 bind to di
209                                          Our ChIP-seq and RNA-seq analyses reveal that a key gene dir
210                                          Our ChIP-seq and RNA-seq data sets provide an excellent reso
211 omatin accessibility data as well as our own ChIP-seq data from CLL patients, we identified six candi
212 nts on hypertrophic cardiomyopathy patients (ChIP-seq N=14 and RNA-seq N=11) and nondiseased hearts (
213  overexpressing PAX2, when coupled with PAX2 ChIP-seq, identified common targets regulated by both PA
214           Chromatin immunoprecipitation-PCR (ChIP-PCR) further confirmed Meq binding to the ICP4/LAT
215                             Here, we perform ChIP-seq on distinct subtypes of Drosophila FACS-purifie
216                                By performing ChIP-seq, we show that ACF leads to a general increase i
217 pendent genes were overlapped with PGC1alpha-ChIP-Seq genes and significantly associated in TCGA with
218 We integrated PIXUL with Matrix ChIP ('PIXUL-ChIP'), that allows for fast, reproducible, low-cost and
219 hromatin-mediated gene silencing in S. pombe ChIP analysis revealed that Vgl1 binds to pericentromeri
220 actors that are co-enriched with the primary ChIP target.
221                        Analysis of published ChIP-exo data of hexasome containing genes identified tw
222 ch the sans-spike-in method for quantitative ChIP-sequencing (siQ-ChIP).
223 ocol for a newly developed strategy, named R-ChIP, for robust capture of R-loops genome-wide.
224 hich recognizes RNA-DNA hybrid structures, R-ChIP involves expression of an exogenous catalytically i
225                       Using a number of real ChIP-seq data sets, we observed that MAnorm2 clearly out
226  occur in distal regions where ASY1 and REC8 ChIP enrichment are lowest in wild type.
227 poson calling cards and compare it to recent ChIP-exo data.
228 ransposon-dense heterochromatin, we repeated ChIP-seq in kyp suvh5 suvh6 H3K9me2 mutants.
229                        Using high-resolution ChIP-sequencing, promoter capture Hi-C, and RNA-sequenci
230 rturbations, live imaging, and time-resolved ChIP-seq assays in Drosophila embryos were used to disse
231                   Using a combination RNAseq/ChIP-seq approach, we found that CcpA affects transcript
232 n of fragile particles, we introduce CUT&RUN.ChIP, in which targeted nuclease cleavage and release is
233            In this study, we use large-scale ChIP-seq to reconstruct it in the maize leaf, and train
234 cent DNA bisulfite sequencing), ChIP-BS-seq (ChIP followed by bisulfite sequencing), TAB-seq, oxBS-se
235 used several global methodologies (ATAC-seq, ChIP-seq and RNA-seq) to assess the effect of GCN5 loss-
236 e a comprehensive atlas comprising ATAC-seq, ChIP-seq, RNA-seq, and proteomics datasets.
237  data were compared with existing DNase-seq, ChIP-seq, and RNA-seq data to evaluate library quality,
238              Using reporter assays, RNA-seq, ChIP-seq, and loss-of-function mutations, we can show th
239              Molecular profiling by RNA-seq, ChIP-seq, and metabolomics revealed that glycolytic and
240 nuclear architecture by integrating RNA-seq, ChIP-seq, ATAC-seq, Hi-C, and Hi-ChIP data.
241                                      RNA-Seq/ChIP-Seq and a subsequent modifier screen reveal that pd
242  immunoprecipitation followed by sequencing (ChIP-seq) data.
243 on analysis and ChIP followed by sequencing (ChIP-seq) in MCF-7 breast cancer cells treated with the
244  immunoprecipitation followed by sequencing (ChIP-seq) remains a tedious (>2 d), manually intensive,
245  immunoprecipitation followed by sequencing (ChIP-seq), are widely used but have their drawbacks, inc
246  immunoprecipitation followed by sequencing (ChIP-seq), RNA sequencing (RNA-seq), and assay for trans
247 n immunoprecipitation and direct sequencing (ChIP-seq), we show that CA12 is regulated by AP-2gamma t
248 pled with massively parallel DNA sequencing (ChIP-seq) and coimmunoprecipitation experiments show tha
249 ChIP followed by next-generation sequencing (ChIP-Seq) is a key technique for mapping the distributio
250 is combined with next generation sequencing (ChIP-seq) to obtain a genome wide profile of protein bin
251 tion followed by next-generation sequencing (ChIP-seq) was used to assess a range of N-terminal postt
252 ecipitations and next-generation sequencing (ChIP-seq).
253    Chromatin immunoprecipitation sequencing (ChIP-seq) analyses revealed that cohesin binding to the
254 om Chromatin Immunoprecipitation sequencing (ChIP-seq) and DNA-RNA Immunoprecipitation sequencing (DR
255 ed chromatin immunoprecipitation sequencing (ChIP-seq) for epigenetic marks and RNA-seq on trunk tiss
256 ng chromatin immunoprecipitation sequencing (ChIP-seq) in Arabidopsis (Arabidopsis thaliana).
257 de chromatin immunoprecipitation sequencing (ChIP-seq) in wild-type and mutant cells showed that abla
258    Chromatin immunoprecipitation sequencing (ChIP-seq) studies determined that some U(S)3-regulated g
259 ed chromatin immunoprecipitation sequencing (ChIP-seq), bulk RNA sequencing, and an innovative dual l
260 ), chromatin immunoprecipitation sequencing (ChIP-seq), RNA sequencing (RNA-seq), and Hi-C assays, we
261 ia chromatin immunoprecipitation-sequencing (ChIP-seq) approach in wild-type and OsHOX24 over-express
262    Chromatin immunoprecipitation-sequencing (ChIP-seq) demonstrated that cyclin D1 inhibits the bindi
263 of chromatin immunoprecipitation-sequencing (ChIP-seq), microarray transcriptional profiling and bioi
264 ecipitation with high-throughput sequencing (ChIP-seq) densities from macrophages and adipocytes to c
265 tion followed by high-throughput sequencing (ChIP-seq) experiments using the human HepG2 cell line fo
266 romatin immunoprecipitation with sequencing (ChIP-seq) assays for histone modifications and 132 assay
267 romatin immunoprecipitation with sequencing (ChIP-seq), genome-wide analysis of DNA methylation and i
268 asBS-seq (nascent DNA bisulfite sequencing), ChIP-BS-seq (ChIP followed by bisulfite sequencing), TAB
269 ogy to also act as a microfluidic sequential ChIP-seq system.
270 omated solution for individual or sequential ChIP-seq.
271 imity ligation, followed by gentle shearing, ChIP, biotin capture and paired-end sequencing.
272 le protein-DNA interaction modes in a single ChIP-exo experiment, we introduce the ChIP-exo mixture m
273 method for quantitative ChIP-sequencing (siQ-ChIP).
274                                        SMAD3 ChIP-seq and ATAC-seq suggested that TGFbeta-mediated H3
275 to address the major limitations of standard ChIP-seq.
276 nd plasticity of BAG neurons, we used tandem ChIP-seq and cell targeted RNA-seq to identify gene targ
277 strand breaks specifically in the telomeres, ChIP, telomere immunofluorescence, fluorescence in situ
278 ized to a custom promoter microarray (termed ChIP-chip).
279 richment of TF binding motifs from ENCODE TF ChIP-seq datasets.
280 arning algorithm able to jointly combine TFs ChIP-Sequencing data and gene expression compendia to re
281                                          The ChIP-exo assay precisely delineates protein-DNA crosslin
282 single ChIP-exo experiment, we introduce the ChIP-exo mixture model (ChExMix).
283 her performed an integrative analysis on the ChIP-seq data of 10 histone marks and hundreds of transc
284                           Validation of this ChIP-chip revealed prominent induction of ATG9A, and luc
285                                 Fixed-tissue ChIP-seq for H3K27 acetylation (H3K27ac) profiling (FiTA
286 for a motif originally identified under tMAC ChIP-seq peaks.
287                                     Using TR ChIP-seq peaks or imputed TR binding sites, Lisa probes
288                                Here, we used ChIP-seq on synchronized cells at different stages after
289                                        Using ChIP, we show that the occurrence of G4 structures peaks
290                                        Using ChIP-seq data, we demonstrate that evolutionary gene rel
291 vivo, we analysed human neuronal cells using ChIP-seq and ATAC-seq technologies.
292 yltransferase occupancy were confirmed using ChIP assays.
293 sequencing and its chromatin landscape using ChIP-seq, ATAC-seq and Hi-C.
294 l epigenome features around these OCRs using ChIP-seq, Bisulfite-seq, and RNA-seq datasets.
295 ants for both human and murine samples using ChIP-Seq data.
296              The quantitative scale on which ChIP-Seq results should be compared emerges from the mod
297  skeletogenesis by Alx1, we used genome-wide ChIP-seq to identify Alx1-binding sites and direct gene
298      Through integrated RNA-seq, genome-wide ChIP-seq, and CUT&RUN association profiling, we identify
299          These last observations, along with ChIP experiments involving the SBF factor, suggest a lon
300 lidation and functional studies included WT1 ChIP-seq, EWS-WT1 knockdown using JN-DSRCT-1 cells and i

 
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