Chapter 8. Identification of a Novel Class of Small Molecules for Spinal Muscular Atrophy Through High-throughput Phenotypic Screening

Author(s):  
Susanne E. Swalley ◽  
Atwood K. Cheung
2018 ◽  
Vol 10 (9) ◽  
pp. 539-548 ◽  
Author(s):  
Ivan de Carlos Cáceres ◽  
Daniel A. Porto ◽  
Ivan Gallotta ◽  
Pamela Santonicola ◽  
Josue Rodríguez-Cordero ◽  
...  

A fully automated high-throughput screen usingC. elegansto investigate genetic mechanisms affecting spinal muscular atrophy (SMA).


2019 ◽  
Author(s):  
Jianbo Shu ◽  
Jingrui Wang ◽  
Yulian Fang ◽  
Zanmei Xu ◽  
Xiaowei Wang ◽  
...  

Abstract Background Some spinal muscular atrophy (SMA) cases are caused by either compound heterozygosity with a point mutation in one allele and a deletion in the other or compound heterozygous point mutations in SMN1 or other genes. Methods To explore more genes and mutations in the onset of SMA, 83 whole blood samples were collected from 28 core families of clinically suspected SMA, and multiplex ligation probe amplification (MLPA) was firstly performed with a SALSA MLPA Kit P021 for preliminary diagnosis. Afterwards, the complete gene sequence of SMN1 gene was detected with the high-throughput sequencing platform of Illumina HiSeq-2500 to find more mutations in the 28 core families. Furthermore, 20 SMA patients were selected from the 28 prodands, and 5 non SMA children as controls. The Life Technologies SOLiD™ technology with mate-pair chemistry was utilized to conduct the whole exome high-throughput sequencing. Results MLPA results showed that 22 probands were SMA patients, 3 probands carriers, and 3 probands normal individuals. Moreover, 2 parents from 2 SMA families were with 3 SMN1 exon7 copies. 6 SMN1 single nucleotide variants (SNVs) were identified in the 83 samples, and c.[84C>T], c.[271C>T], c.[-39A>G] and g.[70240639G>C] were novel. Compared with control group, 9102 mutation were selected out in SMA patients. SPTA1 mutation c.[-41_-40insCTCT], FUT5 SNV c.[1001A>G], and MCCC2 SNV c.[-117A>G] were the 3 most frequent mutations in SMA group (95%, 85% and 75%, respectively). Conclusions We identified some mutations in both SMN1 and other genes, and c.[271C>T], c.[-41_-40insCTCT], c.[1001A>G] and c.[-117A>G] might be associated with the onset of SMA.


2016 ◽  
Vol 59 (22) ◽  
pp. 10067-10083 ◽  
Author(s):  
Alyssa N. Calder ◽  
Elliot J. Androphy ◽  
Kevin J. Hodgetts

2005 ◽  
Vol 14 (14) ◽  
pp. 2003-2018 ◽  
Author(s):  
Jill Jarecki ◽  
Xiaocun Chen ◽  
Alexandra Bernardino ◽  
Daniel D. Coovert ◽  
Michael Whitney ◽  
...  

2020 ◽  
Vol 46 (1) ◽  
Author(s):  
Ruiping Zhang ◽  
Chunyu Gu ◽  
Linjie Pu ◽  
Yingtao Meng ◽  
Jianbo Shu ◽  
...  

Abstract Background Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disease associated with severe muscle atrophy and weakness in the limbs and trunk. The discovery of mutated genes is helpful in diagnosis and treatment for SMA. Methods Eighty-three whole blood samples were collected from 28 core families of clinically suspected SMA, and multiplex ligation probe amplification (MLPA) was performed. Afterwards, the complete gene sequence of SMN1 gene was detected. Furthermore, 20 SMA patients were selected from the 28 probands, and 5 non SMA children as controls. The Life Technologies SOLiD™ technology with mate-pair chemistry was utilized to conduct the whole exome high-throughput sequencing. Results Twenty-two probands were SMA patients, 3 probands carriers, and 3 probands normal individuals. Moreover, 2 parents from 2 SMA families were with 3 SMN1 exon7 copies. Six SMN1 single nucleotide variants (SNVs) were identified in the 83 samples, and c.[84C > T], c.[271C > T], c.[−39A > G] and g.[70240639G > C] were novel. Compared with control group, 9102 mutation were selected out in SMA patients. SPTA1 mutation c.[−41_-40insCTCT], FUT5 SNV c.[1001A > G], and MCCC2 SNV c.[−117A > G] were the 3 most frequent mutations in SMA group (95, 85 and 75%, respectively). Conclusions We identified some mutations in both SMN1 and other genes, and c.[271C > T], c.[−41_-40insCTCT], c.[1001A > G] and c.[−117A > G] might be associated with the onset of SMA.


2020 ◽  
Author(s):  
Ruiping Zhang ◽  
Chunyu Gu ◽  
Linjie Pu ◽  
Yingtao Meng ◽  
Jianbo Shu ◽  
...  

Abstract Background Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disease associated with severe muscle atrophy and weakness in the limbs and trunk. The discovery of genes mutated by SMA is helpful in diagnosis and treatment. Methods 83 whole blood samples were collected from 28 core families of clinically suspected SMA, and multiplex ligation probe amplification (MLPA) was firstly performed. Afterwards, the complete gene sequence of SMN1 gene was detected. Furthermore, 20 SMA patients were selected from the 28 probands, and 5 non SMA children as controls. The Life Technologies SOLiD™ technology with mate-pair chemistry was utilized to conduct the whole exome high-throughput sequencing. Results 22 probands were SMA patients, 3 probands carriers, and 3 probands normal individuals. Moreover, 2 parents from 2 SMA families were with 3 SMN1 exon7 copies. 6 SMN1 single nucleotide variants (SNVs) were identified in the 83 samples, and c.[84C>T], c.[271C>T], c.[-39A>G] and g.[70240639G>C] were novel. Compared with control group, 9102 mutation were selected out in SMA patients. SPTA1 mutation c.[-41_-40insCTCT], FUT5 SNV c.[1001A>G], and MCCC2 SNV c.[-117A>G] were the 3 most frequent mutations in SMA group (95%, 85% and 75%, respectively). Conclusions We identified some mutations in both SMN1 and other genes, and c.[271C>T], c.[-41_-40insCTCT], c.[1001A>G] and c.[-117A>G] might be associated with the onset of SMA.


2020 ◽  
Author(s):  
Ruiping Zhang ◽  
Chunyu Gu ◽  
Linjie Pu ◽  
Yingtao Meng ◽  
Jianbo Shu ◽  
...  

Abstract Background: Spinal muscular atrophy (SMA) is an autosomal recessive hereditary disease associated with severe muscle atrophy and weakness in the limbs and trunk. The discovery of mutated genes is helpful in diagnosis and treatment for SMA. Methods: 83 whole blood samples were collected from 28 core families of clinically suspected SMA, and multiplex ligation probe amplification (MLPA) was performed. Afterwards, the complete gene sequence of SMN1 gene was detected. Furthermore, 20 SMA patients were selected from the 28 probands, and 5 non SMA children as controls. The Life Technologies SOLiD™ technology with mate-pair chemistry was utilized to conduct the whole exome high-throughput sequencing. Results: 22 probands were SMA patients, 3 probands carriers, and 3 probands normal individuals. Moreover, 2 parents from 2 SMA families were with 3 SMN1 exon7 copies. 6 SMN1 single nucleotide variants (SNVs) were identified in the 83 samples, and c.[84C>T], c.[271C>T], c.[-39A>G] and g.[70240639G>C] were novel. Compared with control group, 9102 mutation were selected out in SMA patients. SPTA1 mutation c.[-41_-40insCTCT], FUT5 SNV c.[1001A>G], and MCCC2 SNV c.[-117A>G] were the 3 most frequent mutations in SMA group (95%, 85% and 75%, respectively). Conclusions: We identified some mutations in both SMN1 and other genes, and c.[271C>T], c.[-41_-40insCTCT], c.[1001A>G] and c.[-117A>G] might be associated with the onset of SMA.


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