The clinical utility and diagnostic implementation of human subject cell transdifferentiation followed by RNA sequencing
RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in c...
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Published in | American journal of human genetics Vol. 111; no. 5; pp. 841 - 862 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
02.05.2024
Elsevier |
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Abstract | RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders.
Our RNA-seq analysis workflow uses transdifferentiated fibroblasts to enhance the genetic diagnosis of neurological disorders. It identifies neuron-specific aberrant transcriptional events, resulting in diagnoses in 25% of cases. This demonstrates that transdifferentiation of clinically accessible tissues is a feasible approach to improve the clinical utilization of diagnostic whole transcriptome analysis. |
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AbstractList | RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders.
Our RNA-seq analysis workflow uses transdifferentiated fibroblasts to enhance the genetic diagnosis of neurological disorders. It identifies neuron-specific aberrant transcriptional events, resulting in diagnoses in 25% of cases. This demonstrates that transdifferentiation of clinically accessible tissues is a feasible approach to improve the clinical utilization of diagnostic whole transcriptome analysis. RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders. RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders.RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for clinical laboratories in adopting RNA-seq is the low or absent expression of a significant number of disease-associated genes/transcripts in clinically accessible samples. As this is especially problematic in neurological diseases, we developed a clinical diagnostic approach that enhanced the detection and evaluation of tissue-specific genes/transcripts through fibroblast-to-neuron cell transdifferentiation. The approach is designed specifically to suit clinical implementation, emphasizing simplicity, cost effectiveness, turnaround time, and reproducibility. For clinical validation, we generated induced neurons (iNeurons) from 71 individuals with primary neurological phenotypes recruited to the Undiagnosed Diseases Network. The overall diagnostic yield was 25.4%. Over a quarter of the diagnostic findings benefited from transdifferentiation and could not be achieved by fibroblast RNA-seq alone. This iNeuron transcriptomic approach can be effectively integrated into diagnostic whole-transcriptome evaluation of individuals with genetic disorders. |
Author | Liu, Zhandong Bacino, Carlos A. Chao, Hsiao-Tuan Nagamani, Sandesh CS Sinson, Jefferson C. Neeley, Matthew B. Bajic, Aleksandar Emrick, Lisa Pena, Mezthly Clark, Gary D. Li, Shenglan Lalani, Seema Sheppard, Jennifer Hernandez, Paula Patricia Weisz-Hubshman, Monika Eng, Christine M. Liu, Pengfei Machol, Keren Craigen, William J. Khoramnia, Anahita Rosenfeld, Jill A. Potocki, Lorraine Zhao, Sen Nguyen, My T.T. Burrage, Lindsay C. Lee, Brendan Ketkar, Shamika Worley, Kim C. |
Author_xml | – sequence: 1 givenname: Shenglan orcidid: 0009-0009-3685-0334 surname: Li fullname: Li, Shenglan organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 2 givenname: Sen surname: Zhao fullname: Zhao, Sen organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 3 givenname: Jefferson C. surname: Sinson fullname: Sinson, Jefferson C. organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 4 givenname: Aleksandar surname: Bajic fullname: Bajic, Aleksandar organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 5 givenname: Jill A. surname: Rosenfeld fullname: Rosenfeld, Jill A. organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 6 givenname: Matthew B. surname: Neeley fullname: 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Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 12 givenname: William J. surname: Craigen fullname: Craigen, William J. organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 13 givenname: Gary D. surname: Clark fullname: Clark, Gary D. organization: Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA – sequence: 14 givenname: Seema surname: Lalani fullname: Lalani, Seema organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 15 givenname: Carlos A. surname: Bacino fullname: Bacino, Carlos A. organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 16 givenname: Keren surname: Machol fullname: Machol, Keren organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 17 givenname: Hsiao-Tuan surname: Chao fullname: Chao, Hsiao-Tuan organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 18 givenname: Lorraine surname: Potocki fullname: Potocki, Lorraine organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 19 givenname: Lisa surname: Emrick fullname: Emrick, Lisa organization: Department of Pediatrics, Section of Neurology, Baylor College of Medicine, Houston, TX, USA – sequence: 20 givenname: Jennifer surname: Sheppard fullname: Sheppard, Jennifer organization: Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA – sequence: 21 givenname: My T.T. surname: Nguyen fullname: Nguyen, My T.T. organization: Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA – sequence: 22 givenname: Anahita surname: Khoramnia fullname: Khoramnia, Anahita organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 23 givenname: Paula Patricia surname: Hernandez fullname: Hernandez, Paula Patricia organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 24 givenname: Sandesh CS surname: Nagamani fullname: Nagamani, Sandesh CS organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 25 givenname: Zhandong surname: Liu fullname: Liu, Zhandong organization: Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, TX, USA – sequence: 26 givenname: Christine M. surname: Eng fullname: Eng, Christine M. organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 27 givenname: Brendan surname: Lee fullname: Lee, Brendan organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA – sequence: 28 givenname: Pengfei orcidid: 0000-0002-4177-709X surname: Liu fullname: Liu, Pengfei email: pengfeil@bcm.edu organization: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA |
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Keywords | RNA sequencing clinically accessible tissue fibroblast RNA-seq transcriptome transdifferentiation induced neuron genetic diagnosis isoform neurological disorder |
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SubjectTerms | Cell Transdifferentiation - genetics clinically accessible tissue Female fibroblast Fibroblasts - cytology Fibroblasts - metabolism genetic diagnosis Humans induced neuron isoform Male Nervous System Diseases - diagnosis Nervous System Diseases - genetics neurological disorder Neurons - cytology Neurons - metabolism Reproducibility of Results RNA sequencing RNA-seq RNA-Seq - methods Sequence Analysis, RNA - methods Transcriptome transdifferentiation |
Title | The clinical utility and diagnostic implementation of human subject cell transdifferentiation followed by RNA sequencing |
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