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dc.contributor.advisorYu, Timothy
dc.contributor.advisorLee, Eunjung Alice
dc.contributor.advisorKellis, Manolis
dc.contributor.authorEdwards, Lilly
dc.date.accessioned2025-04-14T14:04:38Z
dc.date.available2025-04-14T14:04:38Z
dc.date.issued2025-02
dc.date.submitted2025-04-03T14:06:13.854Z
dc.identifier.urihttps://hdl.handle.net/1721.1/159087
dc.description.abstract9p deletion (9p-) syndrome is primarily characterized by intellectual disability, developmental delays, and autism. This project investigated how much of the neuronal phenotypes of 9p- syndrome could be attributed to RFX3, a transcription factor and autism risk gene. Bulk RNA-seq data of iPSC-derived neurons from patients with 9p- syndrome and CRISPRengineered cell lines was analyzed using Principal Component Analysis, Differential Gene Expression analysis, and Functional Enrichment analysis. The findings indicate that RFX3 plays a significant role but is not the sole driver of the neuronal phenotypes. SMARCA2, a gene linked to intellectual disability and part of the SWI/SNF complex, was identified as a direct target of RFX3 in the commonly deleted region of chromosome 9p. Notably, the combined deletion of RFX3 and SMARCA2 led to greater dysregulation of SMARCA2 expression and SWI/SNF complex components than the deletion of either gene alone. These findings highlight the potential synergistic effects of RFX3 and SMARCA2 in 9p- syndrome and suggest their combined disruption may underlie the neuronal phenotypes observed.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleIdentifying the Role of Transcription Factor RFX3 in 9PDeletion Syndrome
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.orcid0009-0002-7462-6009
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Computer Science and Molecular Biology


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