Search PubMedSearch

Biomedical subjects

Jesse G Meyer

Publications and source records attributed to Jesse G Meyer.

2 recordsLinked to original sources

Optimizing NGN2 Dosage Enhances the Neuronal Enrichment of iPSC-Derived Neuronal Cultures.

Proteomic analysis of highly neuron-enriched iPSC-derived cultures can provide valuable insights into the pathogenesis of neurological disease by minimizing confounding signals from non-neuronal populations. However, single-cell iPSC clones with stable NGN2 integration at the AAVS1 locus exhibit spontaneous loss of the mCherry reporter. In addition, following NGN2 induction, cultures frequently contain proliferative progenitor cells that compromise neuronal physical integrity. Here, we show that increased DNA methylation of the EF1-α promoter is associated with mCherry silencing. Importantly, reporter silencing does not affect iNeuron derivation, as evidenced by two lines of evidence. First, single-cell proteomic analysis indicated that mCherry silencing does not drive detectable proteomic divergence in undifferentiated iPSCs. Second, bulk proteomics and immunofluorescence analyses indicated that iPSC-derived neuronal cultures, whether expressing or lacking mCherry, resemble cortical glutamatergic neurons. Instead, the primary confounding factor in iNeuron generation was suboptimal neuronal conversion, which led to cell aggregates comprised of actively proliferating progenitor cells and astrocytes as the culture developed. We found that a 4-day period of NGN2 induction substantially increases neuronal maturation and the expression of neuronal-specific markers. Moreover, transient inhibition of Notch signaling is consistent with a reduction in progenitor cells. Finally, we observed that monoallelic NGN2 integration, rather than biallelic integration, preferentially increases expression of the CNS neuronal marker GPM6A over PNS markers (PRPH, POU4F1, ILS1).

Basic Helix-Loop-Helix Proteins

Single-cell proteomics using mass spectrometry.

Over the past 2 to 3 years, mass-spectrometry-based single-cell proteomics (SCP) has experienced transformative improvements in microfluidic and robotic sample preparation, innovative MS1- and MS2-based multiplexing strategies, and specialized hardware (e.g., timsTOF Ultra 2, Astral), which have dramatically boosted sensitivity, throughput, and proteome coverage from picogram-level protein inputs. Concurrently, tailored computational workflows that encompass normalization, imputation, and no-code platforms have addressed pervasive missing data challenges and standardized analyses, collectively enabling high-throughput, reproducible profiling of cellular heterogeneity. This minireview summarizes the latest progress in SCP technology and software solutions, highlighting how the closer integration of analytical, computational, and experimental strategies will facilitate a deeper and broader coverage of single-cell proteomes.

Single-Cell Analysis