Automated screening ofC. elegansneurodegeneration mutants enabled by microfluidics and image analysis algorithms-Reference-Cited by-同舟云学术

Automated screening ofC. elegansneurodegeneration mutants enabled by microfluidics and image analysis algorithms

Published:2018 Issue:9 Volume:10 Page:539-548
ISSN:1757-9694
Container-title:Integrative Biology
language:en
Short-container-title:Integr. Biol.

Author:

de Carlos Cáceres Ivan¹²³⁴,Porto Daniel A.¹²³⁴^ORCID,Gallotta Ivan⁵⁶⁷⁸,Santonicola Pamela⁹⁶⁷⁸,Rodríguez-Cordero Josue¹⁰¹¹¹²⁴,Di Schiavi Elia⁵⁶⁷⁸⁹^ORCID,Lu Hang¹²³⁴¹³^ORCID

Affiliation:

1. Interdisciplinary Bioengineering Graduate Program

2. Georgia Institute of Technology

3. Atlanta

4. USA

5. Institute of Genetics and Biophysics (IGB-ABT)

6. CNR

7. Naples

8. Italy

9. Institute of Bioscience and Bioresources (IBBR)

10. Electrical and Computer Engineering Department

11. University of Puerto Rico at Mayagüez

12. Mayagüez

13. School of Chemical & Biomolecular Engineering

Abstract

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

Funder

European Molecular Biology Organization

National Science Foundation

National Institutes of Health

Goizueta Foundation

Fondazione Telethon

Ministero della Salute

Publisher

Oxford University Press (OUP)

Subject

Biochemistry,Biophysics

Link

http://pubs.rsc.org/en/content/articlepdf/2018/IB/C8IB00091C

Reference43 articles.

1. C. elegans models of neuromuscular diseases expedite translational research

2. Prevalence, incidence and carrier frequency of 5q–linked spinal muscular atrophy – a literature review

3. Survival Motor-Neuron Gene Transcript Analysis in Muscles from Spinal Muscular-Atrophy Patients

4. Identification and characterization of a spinal muscular atrophy-determining gene

5. Correlation between severity and SMN protein level in spinal muscular atrophy

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