Variant Interpretation Assessment
Question 1: Selection of the Dataset To show that a very tiny (15–30 bp) micro-exon uniquely becomes part of the TF-Omega gene during an unpredictable phase of the disease, Dataset Beta is far more likely to succeed. Addressing the Challenges The key challenge lies in the fact that TF-Omega and the related exon are rarely expressed and only found in a small portion of glial cells that lack any kind of marker. With the help of 500,000 cells, Dataset Alpha makes it more likely that rare cells will be sampled. However, because Alpha produced only 7,000 reads/cell with the 3’-tagging approach, it cannot detect rare and short parts of genes. Dataset Beta, on the other hand, captures ~50,000 cells using SMART-seq3 and measures ~75,000 reads from each cell. Even though the sequences are limited, they are comprehensive enough for spotting rare novel isoforms and alternative splicing (Song et al . 2024). Even though Beta can enrich for glial cells, its specificity is low because it ...