Science Translational MedicineNeurosciencePeer-reviewed journal article
Cryptic splicing in synaptic and membrane excitability genes links TDP-43 loss to neuronal dysfunction
Caiwei GuoiD, Kuchuan CheniD, Sarat C. VatsavayaiiD, Tetsuya AkiyamaiD, Chang LiuiD, Yi ZengiD, Odilia Sianto, Edith Yang, Juliane Bombosch, Rasheen PowelliD, Shannon ZheniD, Shila Mekhoubad, Ryan D. MorrieiD, Georgiana MilleriD, Dragana IliciD, Moritz BolliD, Euan ParnelliD, Peter PenzesiD, Noa LipsteiniD, Eric M. GreeniD, Leonard PetrucelliiD, William W. SeeleyiD, Aaron D. GitleriD
Abstract
TDP-43 pathology is a defining pathological hallmark of multiple neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). A major feature of TDP-43 pathology is its nuclear depletion, leading to the aberrant inclusion of cryptic exons during RNA splicing. STMN2 and UNC13A have emerged as prominent TDP-43 splicing targets, but the broader impact of TDP-43-dependent cryptic splicing on neuronal function remains unclear. Here, we report new TDP-43 splicing targets critical for membrane excitability and synaptic function, including KALRN, RAP1GAP, SYT7 and KCNQ2. Using human stem cell-derived neurons, we show that TDP-43 reduction induces cryptic splicing and downregulation of these genes, resulting in impaired excitability and synaptic transmission. In postmortem brains from patients with FTD, these cryptic splicing events occur selectively in neurons with TDP-43 pathology. Importantly, suppressing individual cryptic splicing events using antisense oligonucleotides partially restores neuronal function, and combined targeting almost fully rescues the synaptic deficit caused by TDP-43 loss. Together, our findings provide evidence that cryptic splicing in these synaptic and membrane excitability genes is not only a downstream marker but instead a direct driver of neuronal dysfunction, establishing a mechanistic link between TDP-43 pathology and neurodegeneration in ALS and FTD.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- approach: experimental assay
- Citations
- 12
- FWCI
- 51.02
- Field percentile
- top 1%
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