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1 ADCA-DN and HSN-IE are rare neurodegenerative syndromes
3 A training set of 32 samples (16 MPM and 16 ADCA) was used to identify pairs of genes with highly si
5 les exhibited the expected core signals of 7-ADCA and could be quantified, while the degraded samples
6 leural mesothelioma (MPM)and adenocarcinoma (ADCA) of the lung can be cumbersome using established me
7 lung cancer (SCLC) and lung adenocarcinoma (ADCA) exhibit unique immune cell composition of the tumo
9 CAs) constituted one group, adenocarcinomas (ADCAs) clustered separately, and one signet-ring carcino
10 e SCA2 mutation is the most frequent amongst ADCA I patients, accounting for 40%, compared with SCA1
11 hese neurological signs were also seen in an ADCA I family in which the SCA2 mutation was not identif
13 ype of autosomal dominant cerebellar ataxia (ADCA) in which pure cerebellar ataxia is often accompani
14 s with autosomal dominant cerebellar ataxia (ADCA) types I, II and III, and 47 isolated cases with id
16 ly of autosomal dominant cerebellar ataxias (ADCA), a genetically heterogeneous group of neurodegener
17 The autosomal dominant cerebellar ataxias (ADCAs) are a clinically and genetically heterogeneous gr
20 henotype, but in none of those with ADCA II, ADCA III or ILOCA confirms the specificity of this mutat
24 wledge of the immune cell contexture of lung ADCA and SCLC and suggest that molecular and histologica
25 mune cell content using three models of lung ADCA driven by mutations in Kras, p53, and Egfr Although
26 markedly reduced in SCLC compared with lung ADCA, which was validated in human lung cancer specimens
30 genes associated with clinical phenotypes of ADCA-DN, including PDGFB and PRDM8 for cerebellar ataxia
32 Phenotypic characterization pinpoints that ADCA-DN and HSAN IE represent two discrete clinical enti
35 2 mutation in 31 out of 38 families with the ADCA I phenotype, but in none of those with ADCA II, ADC
36 The utility of genetic classification of the ADCAs has been highlighted by the striking variability i
38 T1 and the molecular changes associated with ADCA-DN, with potential implications for genes associate
40 d neurons (iNs) generated from patients with ADCA-DN and controls, to explore the epigenomic and tran
42 cting exon 21 of DNMT1 gene in patients with ADCA-DN, a novel heterozygous point mutation in exon 20
43 ADCA I phenotype, but in none of those with ADCA II, ADCA III or ILOCA confirms the specificity of t