Quantifying subpercent nuclear <scp>TDP</scp> ‐43 loss in cells and <scp>ALS</scp> cortex using junction‐specific cryptic exon <scp>RT</scp> ‐ <scp>qPCR</scp>

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are progressive neurodegenerative diseases characterised by nuclear TDP-43 loss. Its hallmark, cryptic exon (CE) splicing, is often masked in bulk tissue analyses by the low abundance of affected neurons. We developed an ultrasensitive RT-qPCR assay targeting STMN2 CE using one exon-CE junction-spanning primer and the other within the CE. The design expands the dynamic range sevenfold: TDP-43 knockdown boosted STMN2 CE levels 1395-fold in differentiated SH-SY5Y neurons. Spike-in tests set detection at 0.16% deficient cells. Crucially, the assay revealed a 42-fold CE increase in ALS motor cortex, previously missed by conventional primers. This streamlined tool enables precise quantification of TDP-43 dysfunction and sensitive pharmacodynamic monitoring for future ALS-FTD therapeutic studies. Impact statement Because cryptic-exon signals are diluted in bulk tissue, we developed a junction-spanning STMN2 RT-qPCR with sub-percent sensitivity. This deployable biomarker will aid ALS/FTD researchers and drug developers by standardizing measurements and enabling sensitive pharmacodynamic monitoring of therapies targeting nuclear TDP-43 dysfunction.

Authors

Institutions

Publication Details

Journal
FEBS Letters
Published
2025-10-22
DOI
https://doi.org/10.1002/1873-3468.70198
Citations
2
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
2.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantifying subpercent nuclear TDP ‐43 loss in cells and ALS cortex using junction‐specific cryptic exon RT ‐ qPCR

Akiyoshi Kakita, Mari Tada, Shingo Koide, Yuka Koike et al.
2 citations
FEBS Letters
Amyotrophic Lateral Sclerosis Research
2.78
article

Quantifying subpercent nuclear TDP ‐43 loss in cells and ALS cortex using junction‐specific cryptic exon RT ‐ qPCR

Akiyoshi Kakita, Mari Tada, Shingo Koide, Yuka Koike, Ryutaro Hanyu, Akihiro Sugai, Osamu Onodera, Genri Toyama, Aya Washida, Takuma Yamagishi, Ichiko Ikegami
article en
2 citations

Abstract

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are progressive neurodegenerative diseases characterised by nuclear TDP-43 loss. Its hallmark, cryptic exon (CE) splicing, is often masked in bulk tissue analyses by the low abundance of affected neurons. We developed an ultrasensitive RT-qPCR assay targeting STMN2 CE using one exon-CE junction-spanning primer and the other within the CE. The design expands the dynamic range sevenfold: TDP-43 knockdown boosted STMN2 CE levels 1395-fold in differentiated SH-SY5Y neurons. Spike-in tests set detection at 0.16% deficient cells. Crucially, the assay revealed a 42-fold CE increase in ALS motor cortex, previously missed by conventional primers. This streamlined tool enables precise quantification of TDP-43 dysfunction and sensitive pharmacodynamic monitoring for future ALS-FTD therapeutic studies. Impact statement Because cryptic-exon signals are diluted in bulk tissue, we developed a junction-spanning STMN2 RT-qPCR with sub-percent sensitivity. This deployable biomarker will aid ALS/FTD researchers and drug developers by standardizing measurements and enabling sensitive pharmacodynamic monitoring of therapies targeting nuclear TDP-43 dysfunction.

FEBS LettersVol. 600(1)
Niigata University (JP)
Openalex Percentile: Top 8%
Amyotrophic Lateral Sclerosis Research
2.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.