ライフサイエンスコーパス: essential gene

1 ecause they have no functional copies of the essential gene.

2 gaster technical knockout (tko), an X-linked essential gene.

3 e M. tuberculosis orthologue, Rv0227c, is an essential gene.

4 ns are lethal, demonstrating that TAF1 is an essential gene.

5 tial gene and much longer deletions in a non-essential gene.

6 hodor orthologue in Anopheles gambiae is an essential gene.

7 because they lack functional versions of the essential gene.

8 changes in alternative splicing of multiple essential genes.

9 and negative selection is detectable only in essential genes.

10 ondition-independent and condition-dependent essential genes.

11 vironmentally responsive genes and away from essential genes.

12 which facilitates genetic analysis, even of essential genes.

13 ets for genetic instability(7-11), including essential genes.

14 etic information content at the level of its essential genes.

15 ted to life in the absence of individual non-essential genes.

16 , consists of individual mutants in 1584 non-essential genes.

17 irement for over 100 new community-dependent essential genes.

18 ows for a focused search for uncharacterized essential genes.

19 the identification of condition-independent essential genes.

20 types in single gene knockout experiments as essential genes.

21 Rc identified 98% of previously defined cell essential genes.

22 9ac levels and deactivates the expression of essential genes.

23 he specificity of CRIPSR screens to identify essential genes.

24 networks, but predicted substantially fewer essential genes.

25 to study the loss-of-function phenotypes of essential genes.

26 in loss-of-function screens to identify cell essential genes.

27 ges inherent in correctly identifying cancer-essential genes.

28 encoded by subset of the phototrophic growth-essential genes.

29 ion almost absent outside homozygous loss of essential genes.

30 a 3.1-kilobase deletion (mtDNA) lacking four essential genes.

31 physically interact and be co-expressed with essential genes.

32 sh the utility of this strategy for defining essential genes.

33 ng sgRNA sequences targeting a collection of essential genes.

34 123 instances of AGR codons removed from all essential genes.

35 ified 352 general and 199 condition-specific essential genes.

36 stringent regulation of multiple replication-essential genes.

37 ct Oryza sativa and Saccharomyces cerevisiae essential genes.

38 often used as a genetic tool to interrogate essential genes.

39 state-of-the-art Cas9 system in identifying essential genes.

40 on insertion mutant sequencing that includes essential genes.

41 PR-E test) that allows the identification of essential genes.

42 nce as well as a new set of genes, including essential genes.

43 nhances prediction of adaptively mutated and essential genes.

44 a powerful tool for elucidating the roles of essential genes.

45 ifting could rapidly evolve de novo, even in essential genes.

46 gy genes compared to known essential and non-essential genes.

47 tion experiments confirmed 22 differentially essential genes.

48 approach with selection for a conditionally essential gene, a strategy termed CEN-SELECT, to systema

49 Overlapping a sequence with an essential gene altered its fitness landscape and produce

50 RNAs that disrupts endogenous versions of an essential gene and a recoded version of the essential ge

51 ood because Rap1 is encoded by a single copy essential gene and is involved in many disparate and ess

52 deletions of integral number of codons in an essential gene and much longer deletions in a non-essent

53 arcode transposon site sequencing (RB-TnSeq) essential gene and physiological data specific to photoa

54 We determined that human EXOSC2 is an essential gene and that the pathogenic G198D mutation pr

55 hin the genome, including the 11 established essential genes and 82 highly conserved ORFs that have n

56 We found that many SS/L interactions involve essential genes and are therefore detectable within a li

57 pression systems are powerful tools to study essential genes and characterize potential drug targets.

58 reconstructed models of E. coli, calculating essential genes and comparing with experimental flux dat

59 tive selection, particularly those affecting essential genes and conserved genes.

60 creens identify many classes of CNS neuronal essential genes and demonstrate that CNS neurons are par

61 s (TSS), CRISRPi identified 92% of core cell essential genes and did not show a bias to regions invol

62 ol to identify the function of genes, reveal essential genes and generally to unravel the genetic bas

63 rvival-based screen revealed neuron-specific essential genes and genes that improved neuronal surviva

64 de novo gene evolution, particularly for new essential genes and new cancer-associated genes.

65 In particular, we identify essential genes and other targets that were missed by cl

66 ug development through the identification of essential genes and pathways, we have measured competiti

67 In the process, we identified 10 low essential genes and produced evidence for at least two M

68 ative experimental genetic strategy to study essential genes and reveals effects of regulatory imbala

69 lving Y chromosomes between transcription of essential genes and silencing of selfish DNA.

70 and will enable exploration of functions of essential genes and undiscovered genes/sites/alleles not

71 that modulates expression of gene H, a known essential gene, and fully suppresses the fitness defect.

72 e results clearly indicate that CpRbp1 is an essential gene, and heterokaryons allowed the fungus to

73 strategy of using the nuclease to target an essential gene, and then linking the effector to a seque

74 the growth behavior, nutrient requirements, essential genes, and candidate drug targets in these str

75 f microbes using auxotrophies, regulation of essential genes, and expression of toxic genes.

76 bjective function, and the reference list of essential genes; and that predictive ability for single-

77 stical properties of biological functions of essential genes are enhanced when we focus on essential

78 out if two ClvR elements targeting different essential genes are located at the same genomic position

79 addition to confirming that some conditional essential genes are modified by a nonchromosomal element

80 sis, we made a mutant genome in which all 11 essential genes are simultaneously disrupted, leaving in

81 However, the methods aiming to predict human essential genes are still limited and the performance st

82 m that can cause rapid insect mortality when essential genes are targeted.

83 Essential genes are those genes that are critical for th

84 LdTyrRS appears to be an essential gene as the chromosomal null mutants did not s

85 Here we interrogate LOH of polymorphisms in essential genes as a novel class of therapeutic targets.

86 tions for essential gene pairs, highlighting essential genes as densely connected hubs.

87 g antibiotic discovery by revealing many new essential genes as good targets, but the results fell sh

88 Dot1l is an essential gene, as homozygous null mutant mouse embryos

89 matic characterization and identification of essential genes, as well as the investigation of the int

90 highlights a high degree of conservation of essential genes at the species and genus level, while co

91 can conditionally delete Stk11 and autophagy essential gene, Atg7, respectively or simultaneously, th

92 CRISPR-based method to inhibit expression of essential genes based on the inducible expression of an

93 egative selection against homozygous loss of essential genes before, but not after, WGD.

94 Comparisons of differentially essential genes between Ras-dependent and -independent l

95 Pathogenic variants in the essential gene BRCA2/FANCD1, when monoallelic, predispos

96 identify drug targets, (3) detects not only essential genes, but also essential protein domains, (4)

97 Studying essential genes by classical genetics, however, is inher

98 rning based method, DeepHE, to predict human essential genes by integrating features derived from seq

99 al of genomic sequences of essential and non-essential genes by placing loxP sites into a short synth

100 We have demonstrated that human essential genes can be accurately predicted by designing

101 Our findings show that essential genes can be distinguished from genes with non

102 Essential genes can be identified on a genome-scale usin

103 sed genetic screens, as all genes, including essential genes, can be tested for pathogenesis potentia

104 ame generally cause gene inactivation and in essential genes cause loss of viability.

105 bidopsis thaliana), CRISPR-TSKO mutations in essential genes caused well-defined, localized phenotype

106 Since essential genes control the most fundamental processes o

107 our results reveal that the transcription of essential genes controlled by T-box riboswitches can be

108 ysis of WSUCF1 was performed to disclose the essential genes correlated with nucleotide sugar precurs

109 species and genus level, while comparison to essential gene datasets from other gut bacteria identifi

110 calization pattern of yeast Pex11 in all non-essential gene deletion mutants, as well as in temperatu

111 the Keio collection, a library of single non-essential gene deletions in E. coli str.

112 However, the number of essential genes detected from these monogenic knockout s

113 paradoxical observation that a fast-evolving essential gene directs an essential, strictly conserved

114 ing regulatory sequences near induced and/or essential genes during fin regeneration, including fgf20

115 Second, when targeting essential genes, efficient mutagenesis of founders is of

116 xperimental techniques for identification of essential genes (EGs) in prokaryotes are usually expensi

117 pre- and postnatal development in the mouse [essential genes (EGs)] are enriched for disease genes an

118 These essential genes encode functions involved in the so-call

119 a viable hypomorphic mutation of Snrnp40, an essential gene encoding a subunit of the U5 small nuclea

120 The causative mutation was in Pdia6, an essential gene encoding protein disulfide isomerase A6 (

121 hift mutation, centrally located in rpoB, an essential gene encoding the beta-subunit of RNA polymera

122 The causative mutation was in Ncstn, an essential gene encoding the protein nicastrin (NCSTN), a

123 IV pili function; and several conditionally essential genes encoding antitoxins and/or immunity prot

124 Dosage suppression of essential genes encoding RNA polymerase subunits and chr

125 ch, we defined three sets of chromosomal non-essential genes essential for growth during exposure to

126 DNA minicircles (small DNA vectors encoding essential gene expression components but devoid of a bac

127 ta demonstrate that, rather than controlling essential gene expression programs, Drosophila JmjC prot

128 lls by inducing Cre recombinase and deleting essential genes flanked by loxP sites, resulting in a se

129 ic of multiple solutions, by considering the essential genes, flux variation, and engineering manipul

130 ila, we identified an E3 ligase, Ubr3, as an essential gene for auditory organ development.

131 e embryogenesis, indicating that RPL15 is an essential gene for autotrophic growth of Arabidopsis tha

132 onal-expression mutant identified gacA as an essential gene for GAS.

133 ogether, these results identify SEMA3E as an essential gene for GnRH neuron development, uncover a ne

134 We identify METTL3 as an essential gene for growth of acute myeloid leukaemia cel

135 nd, in addition, identified PRDM5 as a novel essential gene for MM.

136 ) is 1 kb downstream of BARX1 at 9q22.32, an essential gene for stomach formation in embryogenesis.

137 the number of functional copies of MSH4, an essential gene for the main crossover pathway, prevents

138 the disappointing yield, one factor was that essential genes for a bacterial species were often defin

139 ust be examined to converge on a set of core essential genes for a species.

140 brary, we identified CLDN1, OCLN and CD81 as essential genes for both the cell-free entry and the cel

141 Here, we screened a set of predicted essential genes for growth inhibition using CRISPR-inter

142 ncer, we designed a pipeline to identify the essential genes for pan-cancer.

143 s cerevisiae was modified by the addition of essential genes for pentose metabolism.

144 tMPK6 and AtMPK4 orthologs, respectively) as essential genes for rice development by finding the pres

145 NAs produced in the absence of piRNAs target essential genes for silencing.

146 Pases, which were discovered 50 years ago as essential genes for the asymmetric cell shape and divisi

147 Furthermore, essential genes for the cell development and embryogenes

148 Our results link the loss of essential genes for the effector function of CD8(+) T ce

149 erium tuberculosis pathogenesis, analysis of essential gene function in this slow-growing pathogen re

150 rovides an efficient approach to investigate essential gene function that may be particularly useful

151 l and recombinational "safeguard" control of essential gene function.

152 ve been foundational for characterization of essential gene function.

153 sion with cleaved copies-the Rescue-provides essential gene function.

154 t multiple ClvRs, each targeting a different essential gene, function when located at a common chromo

155 a framework for systematic investigation of essential gene functions in vivo broadly applicable to d

156 Importantly, mild knockdown of essential gene functions significantly reduced stationar

157 Essential gene functions underpin the core reactions req

158 Cell-essential genes had lower GC content in their 3' UTRs, s

159 herichia coli cells in which a conditionally essential gene has been deleted.

160 ed by genome-scale screening procedures, but essential genes have been left out of such studies becau

161 eir potential roles in cancer and found that essential genes have higher and more stable expression l

162 atics approach to improve the reliability of essential gene identification is desirable.

163 epair genes, as compared to human pan-cancer essential genes identified by CRISPR-Cas9 screenings on

164 Our results suggest that other essential genes identified by genetic screens may turn o

165 It is enriched in cell-essential genes identified in a CRISPR screen, as well a

166 ble to detect large numbers of insertions in essential genes immediately after transformation and to

167 gan systems demonstrating that ATP6AP2 is an essential gene implicated in basic cellular mechanisms a

168 are well tolerated, even though some affect essential genes implicated in Mendelian disease.

169 interference, we created knockdowns of every essential gene in Bacillus subtilis and probed their phe

170 r T (brachyury; TBXT) is the top selectively essential gene in chordoma, and that transcriptional cyc

171 yejM was discovered as an essential gene in E. coli and S. typhimurium that plays

172 HAT1 is an essential gene in mammals that acetylates newly synthesi

173 MTHFS is an essential gene in mice; however, the roles of both 5fTHF

174 -binding factor CHD1 as a putative synthetic-essential gene in PTEN-deficient cancers.

175 was not essential for growth, Rv2509 was an essential gene in slow-growing mycobacteria.

176 Filaggrin (FLG) is an essential gene in the epidermal barrier formation s.

177 cagY is an essential gene in the T4SS and has an unusual DNA repeat

178 ether these data demonstrate that PPA2 is an essential gene in yeast and that biallelic mutations in

179 tion of double-strand RNAs (dsRNA) targeting essential genes in an insect could cause mortality.

180 for investigating the biological function of essential genes in archaea.

181 cell-specific deletion of Atg7 or Atg5, two essential genes in autophagy, leads to loss of Treg cell

182 The prediction of essential genes in bacteria can provide targets for the

183 en inactivated selected immunogenic, but non-essential genes in BCG Danish to create a diagnostic-com

184 species barrier, and to screen for virulence-essential genes in both mammalian (mouse) and avian (duc

185 inement of this approach allows the roles of essential genes in conditional stress survival to be inf

186 wn the search and provides information about essential genes in different cancer types.

187 used in several laboratories to characterize essential genes in different mycobacterial species both

188 ing the 'knockout-first' allele and identify essential genes in ES cells, including the histone methy

189 A CRISPRi screen for essential genes in K562 cells demonstrates that the larg

190 d diCre as a valuable new tool for analyzing essential genes in Leishmania.

191 ns to investigate the temporal resolution of essential genes in mES cells, and to identify novel gene

192 propose a deep neural network for predicting essential genes in microbes.

193 al methods have been proposed for predicting essential genes in model organisms by integrating multip

194 systematically under-represented among cell-essential genes in monogenic CRISPR-based loss of functi

195 oson insertion sequencing (Tn-Seq) to define essential genes in nine strains of Pseudomonas aeruginos

196 ng double-stranded RNAs (dsRNAs) that target essential genes in pest insects.

197 in a systems biology workflow by predicting essential genes in six Streptococcus species and mapping

198 o dissect the functions of essential and non-essential genes in species ranging from bacteria to huma

199 (shRNA) and CRISPR/Cas9 screens to identify essential genes in the human chronic myelogenous leukemi

200 Functional analysis of essential genes in the malarial parasite, Plasmodium, is

201 ficient method for identifying conditionally essential genes in Tn-Seq experiments with high detectio

202 immediate utility for investigating roles of essential genes in viral replication and will better ena

203 s in Saccharomyces cerevisiae are known, the essential genes in which mutations can cause increased G

204 We systematically replaced essential genes in yeast by their 1:1 orthologs from Esc

205 First, even essential genes, in which loss-of-function variants are

206 Top in vivo essential genes included purA, encoding adenylsuccinate

207 lncRNAs and applied it to predict additional essential genes including 495 PCGs and 280 lncRNAs on a

208 f-function screen and identified a number of essential genes, including the bromodomain and extraterm

209 trate that CRISPRi knockdown of 37 predicted essential genes inhibits V. cholerae viability, thus val

210 by systematically phenotyping conditionally essential genes involved in amino acid biosynthesis.

211 ere, we report that inhibiting expression of essential genes involved in outer membrane biogenesis ca

212 At the population level, identification of essential genes is accomplished by observing intolerance

213 plying automated imaging and analysis to 263 essential gene knockdown mutants in an arrayed library,

214 n P. aeruginosa to converge on a set of core essential genes likely to be essential across the specie

215 stance through a dysfunctional variant of an essential gene may be applicable to other plant-pathogen

216 Here we report on a screen of >1000 essential gene mutants in Saccharomyces cerevisiae for d

217 mutants, as well as in temperature-sensitive essential gene mutants.

218 ntative iRAP within the coding region of the essential gene, nadD, greatly reduces its transcriptiona

219 Our high-confidence essential gene network, established using chemical genom

220 , we demonstrated that inactivation of a non-essential gene not previously found linked to colistin r

221 Our analysis revealed that 432 essential genes of C. eth-2.0, corresponding to 81.5% of

222 of which 280 and 158 genes were shared with essential genes of M. tuberculosis and M. marinum, respe

223 Using this system to target several essential genes of M. tuberculosis, we achieved marked i

224 lare ATCC13950, 506 genes were identified as essential genes, of which 280 and 158 genes were shared

225 estart (RWR) were used to predict additional essential genes on broader scale.

226 creen through a collection of 126 mutants in essential genes on the X chromosome to identify candidat

227 ude the identification of key knockdowns for essential genes or other targets that only require moder

228 ensive network maps genetic interactions for essential gene pairs, highlighting essential genes as de

229 analysis detected two intriguing modules of essential genes participating in the regulation of cell

230 l aspects of the metabolic network (e.g. 138 essential genes predicted).

231 We show improved performance of essential gene prediction in the bacterium Yersinia pest

232 addition, most of the machine learning based essential gene prediction methods are lack of skills to

233 he imbalanced learning issue inherent in the essential gene prediction problem, which might be one fa

234 llele-specific inactivation of either of two essential genes (PRIM1 and EXOSC8) reduces growth of cel

235 thesis, and testing, with retention of quasi-essential genes, produced JCVI-syn3.0 (531 kilobase pair

236 RNA silencing is an essential gene-regulation mechanism in eukaryotic organi

237 f a chemical mark on DNA, is a conserved and essential gene regulatory mechanism.

238 mechanisms of adaptation to inactivation of essential genes remain unknown.

239 However, conditional inactivation of essential genes remains a challenge.

240 Essential genes represent critical cellular components w

241 We defined a set of 321 core essential genes, representing 6.6% of the genome.

242 We conclude that LOH of essential genes represents a rich class of non-driver ca

243 rd genetic screen, we identified MORC2 as an essential gene required for epigenetic silencing by the

244 TOP2B encodes a type II topoisomerase, an essential gene required to alleviate topological stress

245 cance, we performed a mutagenesis screen for essential genes required for apicoplast biogenesis in Pl

246 prehensive genome-wide analysis of virulence-essential genes required for systemic infections in two

247 erated an experimental system in which a non-essential gene, required for pigment production and the

248 The other, a recoded version of the essential gene resistant to cleavage and gene conversion

249 essential gene and a recoded version of the essential gene resistant to cleavage.

250 arasite life cycle, down-regulation of these essential genes resulted in inhibition of parasite devel

251 Repression of an essential gene results in reduction of transcription lev

252 We observed that 91% of tested essential genes retained functionality with limited fitn

253 Using an E. coli essential gene screen, we demonstrate that Cas13b has a

254 ds, antibiotic gene cluster predictions and 'essential gene screening' to provide an interactive page

255 The validity of the essential gene set is supported by its tight overlap wit

256 ng the organism's physiology and defines the essential gene set required for the growth of a photosyn

257 We also identify the Msmeg in vitro essential gene set, and find that 96% of all growth-requ

258 %.These results proved that dsRNAs targeting essential genes show great potential to control C. brunn

259 he experimental results for predicting human essential genes show that our proposed method, DeepHE, c

260 ludes a maximum-likelihood algorithm to call essential genes simultaneously under multiple conditions

261 d that duplicate gene pairs comprised of two essential genes tend to be expressed at different stages

262 datasets from other gut bacteria identified essential genes that appear specific to bifidobacteria.

263 SPR-Cas9 technology was used to target three essential genes that are conserved across the genus, inc

264 utagenesis methods revealed a class of quasi-essential genes that are needed for robust growth, expla

265 can be reversed by targeting chromosomal non-essential genes that are not responsible for acquired re

266 al processes and are well suited to identify essential genes that cannot be evaluated by gene deletio

267 We identified 5664 variants in 1278 essential genes that undergo LOH in cancer and evaluated

268 SPR screening data were used to identify the essential genes that were collected from published data

269 nts, we describe-for almost every single non-essential gene-the genomic alterations that are induced

270 We sought to identify 'synthetic-essential' genes: those that are occasionally deleted in

271 ow that human disease genes are enriched for essential genes, thus providing a dataset that facilitat

272 We targeted an essential gene to develop disabled virus strains as vacc

273 We screened a collection of essential genes to analyze the effects of core cellular

274 ly 25% of the in vivo S. aureus mono-culture essential genes to non-essential.

275 cument the contributions of large numbers of essential genes to plant growth and development.

276 in six Streptococcus species and mapping the essential genes to small molecule ligands from DrugBank.

277 's predictions with a genome-wide screen for essential genes using a transposon-directed insertional

278 Accurately predicting essential genes using computational methods can greatly

279 aurealis Tn library consisting of 1,952 non-essential genes was screened for mutants that failed to

280 precision of the two libraries in detecting essential genes was similar and that combining data from

281 After obtaining all essential genes, we further investigated their potential

282 ntial domains to reproduce the annotation of essential genes, we received accurate results that sugge

283 ome-wide methods are largely unable to assay essential genes which are not amenable to disruption.

284 We identify 391 essential genes, which are associated with basic functio

285 effective bottleneck time and the density of essential genes, which are likely targets of greater sel

286 different types of cancer to identify cancer-essential genes, which consists of 799 protein-coding ge

287 equency, and were depleted from promoters of essential genes, which is consistent with the action of

288 iscoideum to demonstrate that Dync1li1 is an essential gene while KIF1A and fAR1 are not.

289 been described for identifying conditionally essential genes whose tolerance for insertions varies be

290 Identification of essential genes will allow focused research on minimal S

291 variants in natural populations, whereas non-essential genes will tolerate their accumulation.

292 tal conditions of TraDIS data, and including essential genes, will be a starting point for future wor

293 y related protein, New1, is encoded by a non-essential gene with cold sensitivity and ribosome assemb

294 98 genes that lost their function identified essential genes with incorrect annotation, including a l

295 ll analysis shows that we detect over 90% of essential genes with minimal false positives using a com

296 Finally, the identification of 30 essential genes with unclear function will motivate the

297 s in S. uvarum to identify species-dependent essential genes, with the goal of detecting genes with d

298 mic interrogation of entire gene families or essential genes without the need for exogenous proteins,

299 We also posited that such synthetic-essential genes would be therapeutic targets in cancers

300 Notably, dysregulation of these essential genes would significantly impair synaptic func