ライフサイエンスコーパス: genetic interaction

1 sed microcephaly, suggesting the presence of genetic interaction.

2 re emerging as powerful tools for uncovering genetic interactions.

3 nce of all identified central pathways using genetic interactions.

4 etic complexes based on its localization and genetic interactions.

5 es with divergent functions and/or different genetic interactions.

6 genes within the region, as well as complex genetic interactions.

7 ates comprehensive investigations of diverse genetic interactions.

8 at epistatic NEMs can point to modulators of genetic interactions.

9 the effectiveness of our method in detecting genetic interactions.

10 tasis analysis is an effective method to map genetic interactions.

11 used to predict the consequences of several genetic interactions.

12 ht into gene essentiality, gene function and genetic interactions.

13 550,000 negative and about 350,000 positive genetic interactions.

14 e-off in resistance across drugs by altering genetic interactions.

15 fected by individual perturbations and their genetic interactions.

16 roach that relies on in vivo measurements of genetic interactions.

17 libraries in mammalian cells for identifying genetic interactions.

18 ries, probing more than 8.5 million chemical-genetic interactions.

19 notypic screenings and analyses of synthetic-genetic interactions(1-3).

20 s are emerging to decode these combinatorial genetic interactions across a wide range of organisms.

21 Our screen revealed four genetic interactions, all of which caused synthetic enha

22 A distinct genetic interaction among these genomic abnormalities wa

23 MAP65 functions were analyzed based on genetic interactions among different map65 mutations.

24 both correlations among different traits and genetic interactions among genes that affect a single tr

25 Here we report physical and genetic interactions among these key regulators of leaf

26 Ten years ago, high-throughput genetic interaction analyses revealed an abundant and wi

27 In practical genetic interaction analyses, model mis-specification an

28 9-based genome editing have facilitated such genetic interaction analyses." The original reference 13

29 s platform transforms our ability to perform genetic interaction analysis in C. albicans and is readi

30 ed with their nonrobust counterparts, robust genetic interaction analysis methods are significantly l

31 we provide a comprehensive review of robust genetic interaction analysis methods, on their methodolo

32 ing cause of fungal infections; yet, complex genetic interaction analysis remains cumbersome in this

33 CRISPRi genetic interaction analysis revealed Retro-2 activity r

34 oximately 300 candidate modifiers further by genetic interaction analysis using double RNAi and a mul

35 mbination of genome-scale RNAi screening and genetic interaction analysis using process-directed phen

36 Genetic interaction analysis with the kdsr(I105R) and th

37 We describe a systematic complex genetic interaction analysis with yeast paralogs derived

38 We used gene regulatory network inference, genetic interaction and expression analyses to suggest t

39 Our genetic interaction and imaging studies pinpoint cAMP si

40 ical cross-links; using restraints from both genetic interactions and cross-links further improves mo

41 ons, gene expression, phylogenetic profiles, genetic interactions and network-based graph properties

42 between Sde2 and Cactin further supported by genetic interactions and pre-mRNA splicing assays.

43 lly improved the current methods for mapping genetic interactions and screening drug targets for comb

44 res of morphological variation to define the genetic interactions and the phenotypic effect of varian

45 proach for high-throughput investigations of genetic interactions and, leveraging this ability, disse

46 Resistant mutation, chemical-genetic interaction, and biochemical inhibition demonstr

47 allowed for quantitative characterization of genetic interactions, and comparison with protein-protei

48 cluding the prediction of 432 novel DDIs-our genetic interaction approach offers interpretability by

49 cer pathways, and the INCM-inferred putative genetic interactions are correlated with patient surviva

50 ed synthetic lethal effects; and (ii) robust genetic interactions are enriched among gene pairs whose

51 Genetic interactions are keys to understand complex trai

52 Using genetic interaction arrays, we identified Rbd2 as a rhom

53 rf6; Esrp1; Esrp2 compound mutants suggested genetic interaction, as the triple homozygote and the Ir

54 tly identifies previously described chemical-genetic interactions, as well as a new mechanism of supp

55 ional gene essentiality is usually driven by genetic interactions associated with complex modifier ar

56 eration by Nogo-A depends on a NgR1/PlexinA2 genetic interaction because double-heterozygous NgR1(+/-

57 aptic plasticity in vitro requires Prnp-Grm5 genetic interaction, being absent in transheterozygous l

58 By examining the genetic interaction between a constitutively active phyB

59 n eight cases, the phenotype resulted from a genetic interaction between a de novo mutation and one o

60 xplored this further and found a synergistic genetic interaction between arl13b and sec10 morphants i

61 We also identify a novel genetic interaction between ATG16L2 and epithelial ATG16

62 Characterization of the molecular and genetic interaction between ba2 and additional genes req

63 Characterization of the genetic interaction between ba2 and ba1 demonstrates tha

64 Here we uncover a synthetic genetic interaction between C. elegans Fcho1 (FCHO-1) an

65 This genetic screen identified the novel genetic interaction between G4C2 repeat-associated toxic

66 Additional analyses suggest a possible genetic interaction between GBA and CTSB and GBA p.N370S

67 Here, we characterize a genetic interaction between GPC subunits that evolutiona

68 We found no evidence for genetic interaction between HLA-C*06:02 and ERAP1.

69 Genetic interaction between kin-29 and the histone deace

70 , using gene knockouts in mice, we evaluated genetic interaction between loss of Ret and loss of Sema

71 The genetic interaction between MED5 and CDK8 was further ch

72 To test for a genetic interaction between MTG16 and Kaiso in inflammat

73 expressivity) are likely to be an outcome of genetic interaction between multiple susceptibility gene

74 We describe here a genetic interaction between Nkx2-5 and Sarcospan (Sspn)

75 To further investigate the genetic interaction between p53 loss and endogenous Nras

76 The physical and genetic interaction between Parkin and SLP-2 and the com

77 Genetic interaction between Pkhd1 and Pkd1 depended on d

78 Here, we explored the genetic interaction between Pol epsilon and the main ele

79 y active Polo mutant, we identified a strong genetic interaction between Polo and the Rod-ZW10-Zwilch

80 screening was utilized to find a functional genetic interaction between proteins from influenza A vi

81 ic assays used, we did not find evidence for genetic interaction between Ret and Sema3d affecting sur

82 splicing arrest that is corroborated by the genetic interaction between spprp18-5 and spprp2-1, a mu

83 sgenesis in the mouse, we show here a strong genetic interaction between Tbx1 and Vegfr3 in cardiac l

84 A GRN-predicted genetic interaction between Tbx5 and Mef2c, manifesting

85 Our previous studies have demonstrated a genetic interaction between Tbx5 and Osr1 in the second

86 1 physically interact in vitro and in planta Genetic interaction between the RBR-silenced amiRBR and

87 expression in Drosophila hybrids suggests a genetic interaction between the X Chromosome and autosom

88 0.5 to 8.5%, suggesting a possible internal genetic interaction between them.

89 PN disease progression and revealing a novel genetic interaction between these 2 molecular events.

90 In this study, we investigated potential genetic interaction between these CPA genes by generatin

91 indreds, with highly significant evidence of genetic interaction between these loci via both associat

92 We found most stringent evidence for genetic interaction between Ube3a and Mef2 as simultaneo

93 a knock-out mice-indicating a functional and genetic interaction between Xinbeta and YAP.

94 his finding opens the possibility of testing genetic interactions between BMPR1A and other candidate

95 These findings identify genetic interactions between CPA genes and genetic mecha

96 Here, we report that compound genetic interactions between DNA sequence variants contr

97 c expression and silencing is controlled via genetic interactions between entire rDNA cluster haploty

98 netical genomics studies uncover genome-wide genetic interactions between genes and their transcripti

99 e in different combinations of TEFs revealed genetic interactions between genes encoding subunits of

100 Together, our study reveals genetic interactions between Mediator tail and kinase mo

101 in vivo We extend this analysis to identify genetic interactions between mutant alleles of nab2 and

102 ify PPD as an ELF3 co-ortholog, termed ELF3b Genetic interactions between pea ELF3 genes suggest that

103 Genetic interactions between RbfA and IF3 show that RbfA

104 Although the genetic interactions between signaling pathways and tran

105 ink1/parkin related pathology, we tested for genetic interactions between Sting and Pink1/parkin in D

106 We used IDREAM to predict phenotypes and genetic interactions between transcription factors and g

107 the utility of yeast studies for identifying genetic interactions between viral proteins and eukaryot

108 These results reveal ecological and genetic interactions between viruses and cyanobacteria a

109 Our INCM analysis reveals a higher genetic interaction burden on the significantly mutated

110 ial perturbations provide a detailed view of genetic interactions, but can be hard to interpret if di

111 dies (GWAS) provide a platform for detecting genetic interactions, but existing methods for identifyi

112 analysis reveals several potential druggable genetic interactions by targeting tumor vulnerabilities.

113 Thus, genetic interactions can arise from biochemical mechanis

114 Maps of genetic interactions can dissect functional redundancies

115 lethality between paralog genes to show that genetic interactions can introduce biases in essentialit

116 We demonstrate that genetic interactions can often be inferred from fitness

117 Supporting this genetic interaction, CD44 positively correlated with PD-

118 bal network illustrates how coherent sets of genetic interactions connect protein complex and pathway

119 We re-analyzed well-studied data on yeast genetic interactions, constructed four genetic networks

120 sorder, while there is growing evidence that genetic interactions contribute to the pathogenicity of

121 Our results suggest that similar genetic interactions could drive mutator phenotypes in c

122 re, we present a CRISPR/Cas9-based Synthetic Genetic Interaction (CRISPR-SGI) approach enabling syste

123 This analysis identified a variety of genetic interactions demonstrating the power of YARIS to

124 odulators exhibit distinct physiological and genetic interactions depending on specific signaling and

125 we show that the network-predicted putative genetic interactions (e.g., BRCA2-TP53) are significantl

126 sands of samples to explore complexity using genetic interactions, environment-wide association studi

127 phenotypic fingerprints to infer regulatory genetic interactions, establishing a new approach to the

128 Strong genetic interactions exist for some nutrient-genotype co

129 Genetic interaction experiments demonstrate Syx4, Syt4,

130 ction, particularly via genetic and chemical-genetic interaction experiments.

131 Leveraging genetic interaction features and a novel training scheme

132 e to distinguish several distinct classes of genetic interactions for each target gene that shed ligh

133 This comprehensive network maps genetic interactions for essential gene pairs, highlight

134 , we show how our previous work on inferring genetic interactions from comparative fitness data (Cron

135 BridGE that identifies pathways connected by genetic interactions from GWAS data.

136 oped a set of statistical methods to extract genetic interactions from phenotypic measurement.

137 Large-scale genetic interaction (GI) screens in yeast have been inva

138 Systematic mapping of genetic interactions (GIs) and interrogation of the func

139 s) present an opportunity for exploring such genetic interactions (GIs) at scale.

140 Mapping genetic interactions (GIs) can reveal important insights

141 t statistical scoring method for calculating genetic interactions (GIs) from CRISPR-deleted gene pair

142 Genetic interactions have been reported to underlie phen

143 Despite this advance, few genetic interactions have been reproduced across multipl

144 proteins, while CgeA is at the bottom of the genetic interaction hierarchy.

145 Building on established genetic interactions, I construct a logical model of the

146 The efficacy of the Prdm9-Stag3 genetic interaction in promoting DSB formation depends o

147 We confirmed this genetic interaction in zebrafish, and additionally showe

148 stablishing a new approach to the mapping of genetic interactions in an emergent system.

149 forms; (ii) identify differences between the genetic interactions in both isoforms and (iii) demonstr

150 We then designed an in vivo screen to test genetic interactions in breast cancer and identified can

151 The sentence "To dissect complex genetic interactions in C. albicans, a CRISPR-Cas9-based

152 ease genome analysis and suggest considering genetic interactions in complex diseases.

153 nt alpha2-chimaerin and EphA4 have different genetic interactions in distinct motor neuron pools: abd

154 etween these genes/proteins, we screened for genetic interactions in Drosophila melanogaster.

155 Mapping genetic interactions in mammalian cells is limited due t

156 nce (CRISPRi) screening platform for mapping genetic interactions in mammalian cells.

157 However, identifying chemical-genetic interactions in mammalian systems has been limit

158 he current evidence for epistatic events and genetic interactions in neuropsychiatric disorders, how

159 nalyzes all samples and reagents to identify genetic interactions in pairwise knockout screens.

160 SATAY (1) reveals positive and negative genetic interactions in single and multiple mutant strai

161 mplifies the utility of synthetically lethal genetic interactions in the treatment of breast cancers

162 wth assay was used to screen for evidence of genetic interactions in this double-mutant collection.

163 es, it has been increasingly recognized that genetic interactions (including gene-gene and gene-envir

164 oposed for analyzing Tn-Seq data to identify genetic interactions, including estimating relative fitn

165 Genetic interactions, including synthetic lethal effects

166 This genetic interaction indicates that functional MLH1 is re

167 MKS] and Nephronophthisis [NPHP]) defined by genetic interaction, interdependent protein localisation

168 We report a compendium of chemical-genetic interactions involving 191 distinct genetic modi

169 With experimental validation, these novel genetic interactions involving the pyruvate dehydrogenas

170 sults illustrate the multifactorial basis of genetic interactions involving the Y chromosome.

171 This genetic interaction is in parallel to mitophagic pathway

172 demonstrated that the site of this Tbx1-Pax9 genetic interaction is the pharyngeal endoderm, therefor

173 Thus, CRISPR-SGI reveals a rich genetic interaction landscape between RNA binding protei

174 tic miniarray profiles (EMAPs) to survey the genetic interaction landscape of the Swr1 nucleosome rem

175 on of patients, but the direct molecular and genetic interactions leading to this pleiotropic effect

176 nt an excellent system for investigating how genetic interactions limit morphology.

177 Genetic interactions link Cdk9, H2Bub1 and the histone d

178 text, the latter determined using a pairwise genetic interaction map that identifies numerous interac

179 have broad utility for functional genomics, genetic interaction mapping and drug-target profiling in

180 e have developed a platform for quantitative genetic interaction mapping using viral infectivity as a

181 Using genetic interaction mapping, gene co-expression analysis

182 Genetic interaction maps based on mitotic index and nucl

183 , S. cerevisiae is used to (i) determine the genetic interaction maps of MetA and MetB isoforms; (ii)

184 enome-wide CRISPR-Cas9 libraries to generate genetic interaction maps.

185 ion algorithm, which was used to analyze the genetic interaction matrix to reveal an underlying cycli

186 Such genetic interactions may potentially be exploited for ca

187 ting models can capture complex higher-order genetic interactions near the data, but approach additiv

188 had roles in wood formation and revealed the genetic interaction network between the miRNA and its ta

189 We generated a global genetic interaction network for Saccharomyces cerevisiae

190 Here, we present GIT (Genetic Interaction Network-Assisted Target Identificati

191 tness defects of the gene's neighbors in the genetic interaction network.

192 hogonal information compared to physical and genetic interaction networks, metabolomic signatures clu

193 a calcium-sensitive exocytosis regulator, a genetic interaction not previously described.

194 their ribosomal function, and demonstrate a genetic interaction of ABCFs Uup and YheS with translati

195 In particular, the genetic interaction of aging and age-related pathologies

196 Furthermore, we show a positive genetic interaction of double deletion of MCP2 and PSD1,

197 In-vivo Drosophila studies showed a genetic interaction of Parkin and SLP-2, and further, ti

198 an sns overexpression phenotype, pointing to genetic interaction of sns and c3g in nephrocytes.

199 Finally, we demonstrate the physical and genetic interaction of Sub1 with the G4-resolving helica

200 urther, we provide the first evidence of the genetic interaction of these two genes in affecting ND i

201 reatment and demonstrate an evolutionary and genetic interaction of Ubp7 with DNA damage repair pathw

202 east histone H3-H4 complex based on ~500,000 genetic interactions of 350 mutants.

203 Genetic interactions of atgpi8-1 with mutations in ERECT

204 Furthermore, we found positive genetic interactions of elp3Delta and dph3Delta with sty

205 we analyzed the transcriptome, lipidome, and genetic interactions of human leukemia cells exposed to

206 We demonstrate strong genetic interactions of Msp1 and the proteasome with com

207 dition, we generated a double mutant to test genetic interactions of the CRA2 systemic pathway with t

208 s environmental conditions can elucidate how genetic interactions of the growth phenotype are regulat

209 rt and biogenesis of lipids, we searched for genetic interactions of this suppressor.

210 We investigated the role and genetic interactions of Wnt ligands and their traffickin

211 or a model eukaryotic organism revealed that genetic interactions often connect genes between compens

212 The regulatory networks of genetic interactions often exhibit multiple stable stead

213 When yeast genetic interaction partners held in common between huma

214 A CTD-dependent genetic interaction profile of CRG1 revealed that the ac

215 Genetic interaction profiles enabled assembly of a hiera

216 Here we present the genetic interaction profiles of APE2, APE1, and TDP1 def

217 Genetic interaction profiling and landscape enrichment a

218 Chemical-genetic interaction profiling in model organisms has pro

219 screening wild-type Mtb alone, with chemical-genetic interactions providing immediate, direct target

220 h cause cisplatin sensitivity and share many genetic interactions, RAD5OE specifically requires cross

221 of ELF3 and GI have been well studied, their genetic interaction remains unclear.

222 analysis pipelines to calculate fitness and genetic interaction scores for genetic mutants.

223 binations in our recently published chemical-genetic interaction screen of nearly 14,000 chemical com

224 rmative phenotype is to perform a systematic genetic interaction screen whereby double-mutants are cr

225 at target HR, we performed a high-throughput genetic interaction screen with RAD55 phosphorylation si

226 Genetic interaction screens have aided our understanding

227 We performed genetic interaction screens using synthetic genetic arra

228 henotype is nevertheless a result of changed genetic interactions, should regularly be viewed from th

229 Genetic interaction studies between il7 and il7r mutants

230 Finally, genetic interaction studies implicated Drp1 as a partner

231 Genetic interaction studies reveal an important role for

232 Genetic interaction studies show that Sox9, a marker of

233 Analyses of PCP-mutant mice and genetic interaction studies show that the Fat4-Dchs1 axi

234 Genetic interaction studies suggest that BBX31 regulates

235 Genetic interaction studies suggest that TNI is involved

236 Genetic interactions studies were used to show that this

237 Genetic interactions such as epistasis are widespread in

238 ignificantly more likely to have synergistic genetic interactions than non-interacting drug pairs.

239 identified 220 robust driver-gene associated genetic interactions that can be reproduced across indep

240 immune system by cancer cells, and highlight genetic interactions that contribute to phenotypes assoc

241 Here we describe networks of capacitating genetic interactions that contribute to quantitative tra

242 ice, we unveiled a quantitative landscape of genetic interactions that drive metastasis.

243 lities have revealed fascinating patterns of genetic interactions that have been interpreted as the r

244 Systematic investigation of the genetic interactions that influence metastatic potential

245 s of gene knockout effects fail at capturing genetic interactions that may occur between co-targeted

246 conditions in order to search for additional genetic interactions that may provide new insights into

247 due to two different classes of higher-order genetic interactions that only involve cryptic variants.

248 terations allow systematic identification of genetic interactions that promote tumorigenesis and tumo

249 n mapping populations, detail the arenas and genetic interactions that shape TRD during plant and ani

250 y hybridization can disrupt species-specific genetic interactions that were adapted and fixed within

251 hierarchical Bayesian method for identifying genetic interactions through quantifying the statistical

252 scribe a method called TCGI (tRNA-CRISPR for genetic interactions) to generate a high-efficient, barc

253 rough the mapping of cytokine- and CTL-based genetic interactions, together with in vivo CRISPR scree

254 Here, we focus on the long-term effects of genetic interactions under directional selection assumin

255 periments in model organisms report abundant genetic interactions underlying biologically important t

256 e of mortality, yet our understanding of the genetic interactions underlying this disease remains inc

257 arch community, leaving most of the valuable genetic interactions unexplored as cross-analysis of the

258 lizes prior knowledge of protein-protein and genetic interactions, using random walk techniques.

259 functional connection suggested by comparing genetic interaction vectors, we predict a link between S

260 The genetic interaction was synergistic in both species, wit

261 nisms, a large-scale analysis of human-yeast genetic interactions was performed.

262 Based on the Taf2-Taf14 genetic interaction, we demonstrate that Taf2 and Taf14

263 However, recapitulating previously observed genetic interactions, we discovered sex-specific brain v

264 Building on these genetic interactions, we explored the role of LEM2 durin

265 Inspired by the study of complex genetic interactions, we have examined how the amylolyti

266 Human-yeast genetic interactions were identified by en masse transfo

267 However, the genetic interactions were not conserved for ubiquitous p

268 ing application of Tn-Seq is for identifying genetic interactions, which involves comparing Tn mutant

269 Furthermore, the genetic interaction with autism-spectrum genes, such as

270 ormation, other hypha-associated factors, or genetic interaction with EFG1 and/or CPH1 to cause sympt

271 Lpl1 shows a synthetic genetic interaction with Hac1, the master regulator of a

272 ress somatic CAG repeat expansion, likely in genetic interaction with other DNA instability modifiers

273 in organ development but causes synergistic genetic interaction with Tctp and Rheb to impair tissue

274 tant member of this network, both due to its genetic interaction with the beta-barrel assembly machin

275 We found that MCP2 has a negative genetic interaction with the gene TGL2 encoding a neutra

276 by which these genes act, we explored their genetic interactions with 18 deletion mutations known to

277 genomics platform to systematically identify genetic interactions with a KRAS(G12C) inhibitor in cell

278 DKL-1 exhibit interdependent localisation or genetic interactions with core MKS or NPHP module compon

279 e genetic control of this process, including genetic interactions with crop quality parameters, is po

280 s in pak1 led to defects in CAR assembly and genetic interactions with cytokinesis mutants.

281 We therefore looked for potential genetic interactions with established PD mechanisms.

282 formulations have indistinguishable chemical-genetic interactions with genes that modulate microtubul

283 z): CHES-1-like and jumu exhibit synergistic genetic interactions with htl and fz in CM specification

284 Negative genetic interactions with irc6Delta are enriched for gen

285 plays severe reproductive defects and strong genetic interactions with known mutants affected in the

286 Genetic interactions with known telomere silencing facto

287 IH Approved Oncology collection for chemical-genetic interactions with loss of DNAJA1 in cancer.

288 e of affecting PL transport, we screened for genetic interactions with mlaA*, a mutant in which anter

289 ts with the BP4-BP5 deletion, likely through genetic interactions with other loci.

290 SLY41 displays synthetic negative genetic interactions with PMR1, which encodes the major

291 Furthermore, SPF1 exhibited negative genetic interactions with SAC1, encoding a PI4P phosphat

292 bserve evidence of statistically significant genetic interactions with sex, body mass index, or hyper

293 s in metabolic levels across time as well as genetic interactions with statin at both the master meta

294 ) had no visible phenotype but showed strong genetic interactions with stromal CLP protease system mu

295 ce abiotic stress responses via physical and genetic interactions with the chromatin-remodeling ATPas

296 7 single mutants and double mutants revealed genetic interactions with the Notch receptor gene glp-1

297 ssential protein of the preribosome, through genetic interactions with the rRNA methyltransferase Bud

298 h transcriptional activation, which revealed genetic interactions with TP53.

299 Finally, the pkd2 mutant exhibits strong genetic interactions with two mutants of the septation i

300 sociated proteins), as H2A.Z shows extensive genetic interactions with U2 snRNP-associated proteins,