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 inAmerican journal of human genetics Vol. 111; no. 5; pp. 841 - 862
Main Authors Li, Shenglan, Zhao, Sen, Sinson, Jefferson C., Bajic, Aleksandar, Rosenfeld, Jill A., Neeley, Matthew B., Pena, Mezthly, Worley, Kim C., Burrage, Lindsay C., Weisz-Hubshman, Monika, Ketkar, Shamika, Craigen, William J., Clark, Gary D., Lalani, Seema, Bacino, Carlos A., Machol, Keren, Chao, Hsiao-Tuan, Potocki, Lorraine, Emrick, Lisa, Sheppard, Jennifer, Nguyen, My T.T., Khoramnia, Anahita, Hernandez, Paula Patricia, Nagamani, Sandesh CS, Liu, Zhandong, Eng, Christine M., Lee, Brendan, Liu, Pengfei
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LanguageEnglish
Published United States Elsevier Inc 02.05.2024
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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.
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.
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CitedBy_id crossref_primary_10_1016_j_ajhg_2024_06_018
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Keywords RNA sequencing
clinically accessible tissue
fibroblast
RNA-seq
transcriptome
transdifferentiation
induced neuron
genetic diagnosis
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neurological disorder
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Snippet RNA sequencing (RNA-seq) has recently been used in translational research settings to facilitate diagnoses of Mendelian disorders. A significant obstacle for...
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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
URI https://dx.doi.org/10.1016/j.ajhg.2024.03.007
https://www.ncbi.nlm.nih.gov/pubmed/38593811
https://www.proquest.com/docview/3035539426
https://pubmed.ncbi.nlm.nih.gov/PMC11080285
Volume 111
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