We're proud to share that Asmi Barve, a student in BetterMind Labs' Advanced AI Program, has published her first peer-reviewed research paper. Working alongside co-author Nikita Saini, Asmi's study, "Integrative Transcriptomic Analysis Characterizes the Gene Expression Patterns of RNA G-Quadruplex-Associated Genes in Parkinson's Disease," appeared in Cureus on September 1, 2026 (DOI: 10.7759/cureus.115629) — a genuinely rare milestone for a high school researcher.
What Is an RNA G-Quadruplex, and Why Does It Matter for Parkinson's Disease?
RNA G-quadruplexes, or rG4s, are unusual four-stranded structures that certain RNA sequences can fold into when they're rich in the building block guanine. Rather than being a static shape, an rG4 acts more like a switch: when RNA folds this way, it can change how stable that RNA is, how it gets spliced, where it travels inside the cell, and how efficiently it gets translated into protein.
Scientists have started to suspect these structures play a role in neurodegenerative diseases. Prior research has shown that rG4 structures can physically interact with alpha-synuclein, the protein whose misfolding and clumping is a defining feature of Parkinson's disease. That connection made rG4-associated genes a natural place to look for patterns tied to the disease.
Inside the Study: What Asmi and Her Co-Author Investigated
The study took a computational approach, integrating two existing datasets rather than running new lab experiments:
- Gene expression data from the Gene Expression Omnibus dataset GSE136666
- Structural rG4 annotations from G4Atlas, a database of experimentally validated RNA G-quadruplex sequences
After mapping transcripts to genes and combining the two datasets, the analysis identified 33 genes with both matched expression data and an rG4 propensity score — a measure of how likely a given RNA sequence is to actually fold into a G-quadruplex structure.
What They Found
Among those 33 genes:
- 16 showed decreased expression in Parkinson's disease
- 8 showed increased expression
- 9 showed little meaningful change
The genes NAT8B and OR9A1P showed the largest increases; KRT6B and MUC19 showed the largest decreases.
The more striking finding, though, was what didn't correlate: a gene's rG4 propensity score had only a weak, statistically insignificant relationship with how much its expression actually changed in Parkinson's disease (ρ = −0.1969, p = 0.272). Genes with a denser concentration of rG4 structures didn't reliably show bigger expression changes either.
Why a "Negative" Result Is Still a Meaningful Result
It would be easy to read "not statistically significant" as a disappointing outcome, but that's not how research works — and it's an important lesson for any student doing real scientific inquiry for the first time. The study's conclusion wasn't "rG4s don't matter in Parkinson's disease." It was more precise than that: having rG4-forming potential, on its own, isn't enough to predict how a gene's expression will shift in the disease.
That's a meaningful narrowing of the question. It suggests that if RNA G-quadruplexes do influence Parkinson's disease, they likely do so through more specific, context-dependent mechanisms — not simply because a sequence can fold into one. That's exactly the kind of finding that gives future researchers a sharper, more testable question to pursue next.
Why This Kind of Research Experience Matters for High School Students
Publishing in a peer-reviewed journal means a paper has been read, questioned, and vetted by scientists working in the field before it's ever made public — the same bar professional researchers are held to. For a student to go through that process while still in high school is a genuine achievement, not a symbolic one.
