ライフサイエンスコーパス: tissue-type

1 mpared to those reported as eQTL in only one tissue type.

2 esponse to polarity of extract, cultivar and tissue type.

3 haracteristic morphology is dependent on the tissue type.

4 nd innate immune responses, according to the tissue type.

5 ccurrence networks were constructed for each tissue type.

6 ence and strength of regulation depending on tissue type.

7 e shape/magnitude of the XRD spectra and the tissue type.

8 as a function of both developmental time and tissue type.

9 arization markers (CD80 or HLA-DR) on either tissue type.

10 nment have wide ranging effects on resultant tissue type.

11 ributions that uniquely separates samples by tissue type.

12 otated, and their expression associated with tissue type.

13 entrations varying with macrophyte taxon and tissue type.

14 on-cancerous cells originating from the same tissue type.

15 should find applications for other cell and tissue types.

16 for application in diverse plant species and tissue types.

17 frequency in an expanding array of cell and tissue types.

18 regulatory ASEs across gene exons and across tissue types.

19 atic-tropism to bone predominates over other tissue types.

20 complex organ composed of multiple cell and tissue types.

21 rs for protein-coding genes in 27 human cell/tissue types.

22 be differentially regulated among the three tissue types.

23 re highly sequestered among the various seed tissue types.

24 xample, other species or additional cell and tissue types.

25 semblance in the ERalpha patterns of the two tissue types.

26 and profile ILCs across healthy and inflamed tissue types.

27 its action on macrophages and other cell and tissue types.

28 erize lncRNAs conserved in other species and tissue types.

29 had a significant strong correlation for all tissue types.

30 ortunity to study cis-mediation across human tissue types.

31 SI mass spectra of pathologically determined tissue types.

32 could be easily adapted for use on different tissue types.

33 on of enhancers across a variety of cell and tissue types.

34 s physiological defects in specific cell and tissue types.

35 accurately distinguished the age of multiple tissue types.

36 ted with gene expression changes in specific tissue types.

37 and the kinetic parameter values of 3 tumor tissue types.

38 works as a result of signaling between these tissue types.

39 dictive of cis-eQTL SNVs across a variety of tissue types.

40 of cis-hubs and trans-eQTL regulation across tissue types.

41 ing simulations of clinically relevant tumor tissue types.

42 al altered pathways shared among NATs across tissue types.

43 an atlas of 2,534,123 enhancers for 105 cell/tissue types.

44 iologic function of S100A4 in other cell and tissue types.

45 its regulation can vary substantially across tissue types.

46 ory annotation under the context of specific tissue types.

47 a close association in contrast to benign LN tissue types.

48 fy molecular features discriminating between tissue types.

49 determine which gene is affected in specific tissue types.

50 n level of lncRNA or mRNA differs in the two tissue types.

51 tures to differentiate between normal breast tissue types.

52 ks (GRNs) are highly dynamic among different tissue types.

53 M15 improves insulin sensitivity in multiple tissue types.

54 show predominant DGE or DAST across multiple tissue types.

55 ) membrane and primary cilia of all cell and tissue types.

56 ed to allow discrimination between different tissue types.

57 ilencers in over 100 human and mouse cell or tissue types.

58 ork for identity genes in individual cell or tissue types.

59 distinct cellular responses across cell and tissue types.

60 tional mutations, produce tumours from those tissue types.

61 e EPISCORE in multiple epigenome studies and tissue types.

62 modification sites by specific cell lines or tissue types.

63 iability in TL in nonblood, disease-relevant tissue types.

64 re performed to discriminate among the three tissue types.

65 ng, bulk RNA-seq and proteomics from diverse tissue types.

66 varian cancer and precursor-related cell and tissue types.

67 mine endophyte richness patterns among plant tissue types.

68 machine-learning classifiers between the two tissue types.

69 aspects of cytokinesis vary across cell and tissue types.

70 terns for these two pathways across multiple tissue types.

71 re further supported by eQTL data from other tissue types.

72 s (89)Zr-alpha-CD11b was distributed to more tissue types.

73 models to label and study specific cell and tissue types.

74 ine eyes, yielding an accuracy >93% across 5 tissue types.

75 e specific functions of Cyp24a1 in these two tissue types.

76 nment is complex with phenotypically similar tissue-types.

77 e relatedness in expression between cell and tissues types.

78 How do signaling pathways specify distinct tissue types?

79 In control tissues, type 2/3 and proinflammatory mediators showed a

80 In many tissues, type 4 NADPH oxidase is induced upon ischemia o

81 offers high imaging contrast to identify the tissue type ablated and also a high penetration depth.

82 formation on photon attenuation of different tissue types, AC in hybrid PET/MR scanners has always be

83 1 genes and the corresponding proteins in 14 tissue types across nearly 200 samples.

84 ii) effects of parasites infecting different tissue types (across guild).

85 sion of aging genes across a large number of tissue types also points to a high level of connectivity

86 differences in disease status, sex, cell or tissue type, ancestry, genetic background, experimental

87 Epithelia are an eminent tissue type and a common driver of tumorigenesis, requir

88 sis of the transcriptome data indicated that tissue type and protein kinase expression had large infl

89 tumor suppressors in intron regions and that tissue type and subtype indicate dual role status.

90 between 5 and 25 mum thick, depending on the tissue type and the analyte(s) of interest.

91 on capture (Hi-C) data from 11 human primary tissue types and 2 human cell lines.

92 s from 6391 tissue samples, representing >20 tissue types and 952 individuals from the Genotype-Tissu

93 e identified as characteristic of individual tissue types and chemically characterized using tandem M

94 ve mapping of clearing efficacy depending on tissue types and clearing methods may be helpful in the

95 n in MSI, enabling rapid distinction between tissue types and disease states.

96 ally more robust across a range of different tissue types and for realistic noise levels.

97 enriched for histone mark peaks in relevant tissue types and gene promoter regions.

98 tion in mitotic mis-segregation rates across tissue types and genotypes.

99 id-D-phenylalanine-lysine)], both in several tissue types and in the tumor microenvironment.

100 Clear differences between tissue types and locations were established.

101 eful for engineering a wide range of layered tissue types and mechanistic studies on collective cell

102 ors are expressed in virtually all cells and tissue types and mediate an astonishing array of biologi

103 When applied to diverse tissue types and organisms, CytoTRACE outperformed previ

104 des a complimentary means of differentiating tissue types and pathology.

105 enotypic similarity between related cell and tissue types and reveal molecular basis for their simila

106 evelopmental relationships between different tissue types and reveal the nearly complete transcriptio

107 Nase I cleavage maps from 243 human cell and tissue types and states and integrated these data to del

108 3 human biosamples encompassing 438 cell and tissue types and states, and integrated these to delinea

109 manifested by its accumulation in different tissue types and subsequent growth inhibition in plants.

110 hat genetic variation affects TL in multiple tissue types and that TL may mediate the effect of age o

111 As for fibrinolysis, increased tissue-type and urokinase-type plasminogen activators, a

112 between gene expression (across 48 different tissue types) and 395 complex traits.

113 s are variable across host species, ecology, tissue type, and time.

114 oss tissue types, positive correlation among tissue types, and associations with age and ancestry.

115 lver birch (Betula pendula) into eight major tissue types, and characterized these by a combined tran

116 fection rates, virus replication in multiple tissue types, and earlier mortality.

117 riptional programs are active across organs, tissue types, and environmental conditions.

118 differentiation, is generalizable to diverse tissue types, and is well-suited to resolving less-studi

119 LOCK is shown to work reasonably well across tissue types, and often with only small degradation acro

120 ween cells of different cell stage, cell and tissue types, and organisms.

121 he largest collections of CDR3 sequences and tissue types, and should serve as an important resource

122 , each mammal favors the same mt-tRNA in all tissue types, and strikingly, when steady-state levels o

123 superior performance across diverse cell and tissue types, and the enhancer locations are significant

124 However, many tissue types are difficult to access and are not collect

125 mpact on morphogenesis of different cell and tissue types are largely lacking.

126 The N/Cs for all three tissue types are similar.

127 lel; compare gene expression among different tissue types as well as between normal and cancer cells;

128 f which are true of many embryonic and adult tissue types as well as in many cases for cells differen

129 opsy process by providing the information of tissue types at the needle tip.

130 te steadily over time in all of the assessed tissue types, at a rate of approximately 40 novel mutati

131 ancies appear to be restricted to either (1) tissue types bearing the same molecular defect that unde

132 140 benign tissue samples representing nine tissue-types (bladder, breast, liver, lung, prostate, st

133 c liability for CD converged on many similar tissue types (brain, heart, blood, liver) across ancestr

134 ed to be constitutively expressed throughout tissue types but recent studies have shown they vary wit

135 egment anatomical features and differentiate tissue types, but existing approaches are both CPU and m

136 actility in smooth muscle and other cell and tissue types, but the mechanisms by which Paks regulate

137 d depending on the specific lipid family and tissue type by 10-fold to 140-fold compared with that of

138 lcitriol (1,25-(OH)(2)D(3)), affect multiple tissue types by interacting with the vitamin D receptor

139 ing with the values from regular tissue, the tissue type can be determined quickly and accurately.

140 and mapping it in a large number of cell and tissue types can provide insight into its biological fun

141 esis, NAPRT, is highly expressed in a normal tissue type, cancers that arise from that tissue will ha

142 This method is generalizable to other tissue types, cancers, and organisms, and this new infor

143 reservation of different intervertebral soft tissue types (cartilage, probable notochord) seen in ext

144 We find five universal cancer tasks across tissue-types: cell-division, biomass and energy, lipogen

145 Difficulty in differentiating between tissue types commonly results in the requirement for add

146 across developmental trajectories of several tissue types consistent with known biology and find a no

147 elects for a second mutation in a particular tissue type could one day aid in the design of gene-targ

148 mours and 2,600 matched normal samples of 19 tissue types, coupled with mathematical modelling and ex

149 The mass spectral data reveal tissue type-dependent lipid profiles which are consisten

150 show that in GDM-associated defect on IR is tissue type-dependent.

151 An abdomen phantom with 7 different tissue types (different combinations of 3 base materials

152 stimate the differential network between two tissue types directly without inferring the network for

153 ns such as caused by different environments, tissue types, disease states, and development stages.

154 though pathologic methods exist to determine tissue type during surgery, these methods can compromise

155 lations are necessary for generating diverse tissue types during embryogenesis.

156 thetic nerves bound for functionally-similar tissue types (e.g. muscle vasculature).

157 roup, n = 13 for each posterior group) for 2 tissue types (enamel and dentine).

158 However, both normal tissue types exhibited significant positive correlations

159 amples of splicing differences between broad tissue types exist, there remains much to be understood

160 y data to supplement consultation with local tissue typing experts.

161 t no single protocol is sufficient for every tissue type, fixation, and pretreatment.

162 funNorm method, and introducing cell-type or tissue-type flexibility.

163 ing SCMarker on various datasets in multiple tissue types, followed by a variety of clustering algori

164 and tissue-specific RNA expression in eight tissue types for six primate species.

165 of temperatures, time intervals and cell and tissue types found it to be robust for identifying these

166 cted transcriptome data in a wide variety of tissue types from post-mortem donors.

167 ed epigenomic profiling data for 77 cell and tissue types from Roadmap Epigenomics and ENCODE, and fr

168 a such as those from 8,555 samples across 53 tissues types from 544 individuals in the Genotype-Tissu

169 covered, considering the number of patterned tissue types generated during development.

170 n-GTEx studies, the accessibility of certain tissue types greatly limits the feasibility and scale of

171 Metadata such as tissue type, growth conditions and developmental stage w

172 , PARP1, Chk1, and Chk2 across these 6 tumor tissue types; however, groupings of other DNA repair and

173 the volumes of each of the three constituent tissue types (i.e., cerebral spinal fluid (CSF), gray ma

174 ability of the same protein across different tissue types, i.e., across-tissues variability.

175 genome-wide 5hmC profiles in different human tissue types impedes drawing generalized conclusions abo

176 eractions among parasites infecting a single tissue type in determining infection patterns.

177 We apply our method to four tissue types in a bovine study to de novo detect ASE gen

178 tivator of enhancer signaling across diverse tissue types in both health and disease and has been imp

179 Application to mouse embryos revealed major tissue types in early organogenesis as well as fine feat

180 d identical distribution patterns as per the tissue types in matched IHC images.

181 Depression and Anxiety (NESDA), and multiple tissue types in the Genotype-Tissue Expression (GTEx) co

182 The inclusion of several nearby tissue types in this data set also led to our identifica

183 rnal standards compensate for differences in tissue types in, for example, whole-body imaging, a set

184 ss spectrometry imaging to identify discrete tissue-types in the seed in which these non-native fatty

185 are approximately constant across different tissue types, in contrast to the gene expression probabi

186 -hypersensitive sites was also found in many tissue types, including brain tissue.

187 diverse native grasses, colonizing multiple tissue types, including seeds, leaves and inflorescence

188 r the functions of a broad range of cell and tissue types, including sensory and central neurons, and

189 delta(202)Hg values in both tissue types indicated that Hg speciation affects the bu

190 different onsets of expression in different tissue types, indicating that sexual identity is not uni

191 ound batteries enriched in specific cell and tissue types, indicating that the approach can be used t

192 t lipid flux control in a particular cell or tissue type is heavily influenced by the specific Plins

193 l tissues revealed that species, rather than tissue type, is the primary determinant of editing level

194 ng, a set of tissue homogenates of different tissue types (lung, liver, kidney, heart, and brain) fro

195 s in various biological processes, including tissue type maintenance and determining the general feat

196 Pundir et al. (2019) report that connective-tissue-type mast cells spy on bacterial communication by

197 rimary murine mucosal-type MC and connective tissue-type MC released phenotypically different EV popu

198 eomic analysis of CD63(+) EV from connective tissue-type MC unveiled an abundance of MC-specific prot

199 In many tissue types, metastasis is fueled by the epithelial-to-

200 nt levels of noise and used to calculate the tissue-type misclassification errors of spectral cluster

201 nomic activity patterns in cancer and normal tissue types more accurately than alternative methods, b

202 and splice junction usage in HGSOC-relevant tissue types (N = 2,169) and the largest genome-wide ass

203 ess precise when used in older samples or in tissue types not included in training the model, includi

204 al classification method, we showed that the tissue type of a sample can be successfully predicted ba

205 The age distribution and tissue type of samples included in training datasets nee

206 bstantially different contrasts in different tissue types of a post mortem brain.

207 rate RNA-seq data from more than 40 cell and tissue types of four mammalian species to identify sets

208 rent spectroscopic features for the two main tissue types of healthy and adenoma.

209 We find that the cell and tissue types of origin of urinary cfDNA can be derived f

210 ction of individual cell lines and different tissue types of origin.

211 There is heterogeneity between cell and tissue types of the composition and behaviour of the osc

212 on of lipid metabolism between the different tissue types of the seed.

213 generalized linear model to model effects of tissue type on feature quantification, which is specific

214 ing methods estimate GRN for a specific cell/tissue type or in a tissue-naive way, or do not specific

215 nesis on profiles was much less than that of tissue type or light and most differences were explicabl

216 tissues can serve as diagnostic markers for tissue types or diseases.

217 t exhibit distinct splicing patterns between tissue types or within the nervous system.

218 nd has a strong potential for distinguishing tissue types, or disease states.

219 eans that even data with desired cell lines, tissue types, or molecular targets may not be readily in

220 gnificant interactions between wear type and tissue type ( P = 0.0157 and P = 0.0003, respectively) a

221 nditioning hiNPC with enzymatically-inactive tissue-type plasminogen activator (EI-tPA), prior to gra

222 l analysis of fibrinolysis after recombinant tissue-type plasminogen activator (tPA) administration r

223 ing further reduction in treatment times for tissue-type plasminogen activator (tPA) administration.

224 Tissue-type plasminogen activator (tPA) is a major media

225 Tissue-type plasminogen activator (tPA) is the major int

226 ide insight into the source of intravascular tissue-type plasminogen activator (tPA).

227 namic transfection of a plasmid encoding for tissue-type plasminogen activator (tPA).

228 ndard of care: intravenous thrombolysis with tissue-type plasminogen activator and endovascular treat

229 t amorphous protein aggregates interact with tissue-type plasminogen activator and plasminogen, via a

230 1, 2010 and March 31, 2015 and who received tissue-type plasminogen activator in the emergency depar

231 ents with acute ischemic stroke treated with tissue-type plasminogen activator is associated with imp

232 Intravenous thrombolysis with tissue-type plasminogen activator remains the mainstay o

233 Accelerated tPA (tissue-type plasminogen activator) dosing regimens for u

234 Intravenous rt-PA (recombinant tissue-type plasminogen activator) is effective in impro

235 acute ischemic stroke with intravenous tPA (tissue-type plasminogen activator) may increase the risk

236 solve thrombi acutely and r-tPA (recombinant tissue-type plasminogen activator) therapy may be requir

237 th recovery scores after accounting for tPA (tissue-type plasminogen activator) treatment.

238 tion for Acute Ischemic Stroke network: tPA (tissue-type plasminogen activator) use, complications re

239 The total dose of r-tPA (recombinant tissue-type plasminogen activator) was 14 mgs in bilater

240 <60 minutes in >50% of patients treated with tissue-type plasminogen activator), and (5) face-to-face

241 on time-to-thrombolytic treatment with tPA (tissue-type plasminogen activator).

242 conventional approaches such as recombinant tissue-type plasminogen activator, direct thrombin inhib

243 ligands, including alpha2-macroglobulin and tissue-type plasminogen activator, failed to cause LRP1

244 tamate and specific protein ligands, such as tissue-type plasminogen activator.

245 cluding activated alpha(2)-macroglobulin and tissue-type plasminogen activator.

246 ecommend against the use of intravenous tPA (tissue-type plasminogen activator; IV tPA) in acute isch

247 We describe differences across tissue types, positive correlation among tissue types, a

248 ed with postoperative histology to determine tissue types present in each scan.

249 Among the broad tissue types present in metazoans, the central nervous s

250 accomplished in the context of the multiple tissue types present within a developing organ remains u

251 show that human Tregs in blood and multiple tissue types produced amphiregulin, but this was neither

252 g gene expression by both cancer subtype and tissue type, providing clinicians more refined tools to

253 atin-state maps for islets and other diverse tissue types revealed that cis-eQTLs for islet-specific

254 diagnostic methods are not suitable for non-tissue type samples.

255 Eight out of ten different human cancer tissue types screened for hFcRn expression by immunohist

256 RNAs, and other noncoding RNAs across three tissue types (siliques, seedling shoots, and roots) and

257 17 studies on the ECM of 15 different normal tissue types, six cancer types (different grades of brea

258 tially expressed and processed in a cell and tissue type-specific manner to control its localization

259 Furthermore, we constructed cancer or tissue type-specific, gene co-expression based protein i

260 al and post-transcriptional regulation shape tissue-type-specific proteomes, but their relative contr

261 f post-transcriptional regulation to shaping tissue-type-specific proteomes.

262 greatest discrimination between the various tissue types, specifically in regard to the epithelial m

263 ing differences in the strength and cell- or tissue-type specificity of the regulatory elements used

264 induced apoptosis of tumor cells of multiple tissue types, supporting its role as a broad bona fide t

265 y shorter survival, even when controlled for tissue type, than patients whose cancers were not driven

266 transcriptome profiling of specific cell or tissue types that are isolated from tomato using laser m

267 ntramural coronary arterioles, which involve tissue types that do not express cardiomyocyte sarcomere

268 repertoires (TAIR), across a broad range of tissue types that often do not have reported Ig repertoi

269 e an extensive 5hmC map across diverse human tissue types that suggests a potential role of 5hmC in t

270 ors and that a variety of factors, including tissue type, the underlying cancer genetics, the tumor m

271 Depending on the tissue type, the Wnt pathway can promote stem cell self-

272 f the role of ribosome biogenesis in diverse tissue types throughout embryonic development.

273 ce depend strongly on context, including the tissue type, tissue state, and disease, as well as the s

274 In addition to specifying the tissue type to be used for DNAm profiling, users are req

275 and regeneration require plasticity in many tissue types to achieve structural and functional goals

276 tor (WNT-974) on the regeneration of several tissue types to identify potentially unwanted chemical e

277 DNA methylation in a wide range of cell and tissue types to identify putative regulatory elements.

278 overns the sensitivity of specific cells and tissue types to ribosomal protein mutations.

279 he generation of plasmin via two activators: tissue-type (tPA) and urokinase-type (uPA).

280 he whole slide images (WSIs) into underlying tissue types (tumour, lymphocytes, etc.) and then quanti

281 nteractome of lamin A/C in multiple cell and tissue types under various treatment conditions.

282 he inflammatory response varies in different tissue types, under disease and in response to therapeut

283 racted the 2- to 3-fold increase in cerebral tissue-type/urokinase plasminogen activator expression.

284 m data sets, chosen to cover the most common tissue-types used in EWAS.

285 ed a comprehensive analysis of the different tissue types using 1D and 2D NMR, in combination with sp

286 pecificity, genes subject to MAE in multiple tissue types using readily available ChIP-seq data.

287 For a given tissue type, variable cancer risk between individuals is

288 that are unmethylated in 11 different fetal tissue types, we show that increases in DNA methylation

289 100% per patient for prediction of the three tissue types were achieved.

290 miRNA profiles of 4 tissue types were compared, and sequencing of miRNA, pre

291 All tissue types were modeled as poroelastic in the healing

292 ts of FMRP, derived from studies of multiple tissue types, were enriched for common schizophrenia ris

293 ake Huron, Lake Michigan, or Lake Superior), tissue type (whole fish or eggs), and contaminant type (

294 el to reflect diverse biological systems and tissue types will further improve our understanding of a

295 netic load depended on both the drug and the tissue type with 10 tissues being particularly vulnerabl

296 amyloidosis is difficult but necessary, and tissue typing with adequate technology available at refe

297 he DT and AT networks were distinct for each tissue type, with no microbial relationships maintained

298 ssion changes varied considerably across the tissue types, with only 32 genes being regulated in comm

299 well versus existing methods in classifying tissue types within a single dataset, and that GRAPE ach

300 erent lipid compositions between the various tissue types within the seed.