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Mendez-Albelo, N. M.

Publications and source records attributed to Mendez-Albelo, N. M..

2 recordsLinked to original sources

ALS-associated exitron splicing produces UBQLN2 isoforms with distinct properties

X-linked amyotrophic lateral sclerosis (ALS) implicated Ubiquilin 2 (UBQLN2) is expressed from a single exon. Here, we show that human UBQLN2 mRNA is alternatively spliced by virtue of a cryptic exonic intron (exitron) spanning the 5' untranslated region and the 5' end of UBQLN2 coding sequence. Splice-out of this exitron generates a spliced UBQLN2 (UBQLN2-Sp) transcript that is translated from codon M243 to produce an N-terminally truncated UBQLN2 isoform (UBQLN2-M243) with reduced stability, diminished proteasome targeting, and altered aggregation behavior following the introduction of ALS mutations. The RNA-binding proteins SRSF1 and PTBP1 control UBQLN2 splicing through binding to splice donor-proximal motifs, while TDP-43 was implicated as an indirect splicing repressor. UBQLN2 splicing was elevated and inversely correlated with UBQLN2 gene expression in the medial motor cortex of male ALS patients. These findings suggest that alternative splicing regulates UBQLN2 gene dosage and function, which may impact UBQLN2-ALS proteinopathy.

molecular biology↗

A Semi-Automated MEA Spike sorting (SAMS) method for high throughput assessment of cultured neurons

Neurons derived from human pluripotent stem cells (hPSCs) are valuable models for studying brain development and developing therapies for brain disorders. Evaluating human-derived neurons requires assessing their electrical activity, which can be achieved using multi-electrode arrays (MEAs) for extracellular recordings. Because each electrode channel generally detects activity from multiple neurons, resolving the activity of single neurons requires a process called spike sorting. However, currently available spike sorting methods are not optimized for the analysis of hPSC-derived neurons, and require complex workflows and time-consuming manual intervention. Here, we introduce a Semi-Automated MEA Spike sorting software (SAMS) designed specifically for low-density MEA recordings of cultured neurons. SAMS outperforms commercially available automated spike sorting algorithms in terms of accuracy and greatly reduces computational and human processing time. By providing an accessible, efficient, and integrated platform for spike sorting, SAMS enhances the resolution and utility of MEA in disease modeling and drug development using human-derived neurons. HighlightsO_LISAMS is designed and optimized for high throughput analysis of hPSC-derived neurons. C_LIO_LISAMS is more efficient and accurate compared to recommended spike-sorting software. C_LIO_LISAMS resolves phenotypic differences previously not observed without spike sorting. C_LIO_LISAMS is an open-source software. C_LI

neuroscience↗