Biology subjects

Payea, M. J.

Publications and source records attributed to Payea, M. J..

4 recordsLinked to original sources

bioRxiv2023

Deep learning and direct sequencing of labeled RNA captures transcriptome dynamics

Quantification of the dynamics of RNA metabolism is essential for understanding gene regulation in health and disease. Existing methods rely on metabolic labeling of nascent RNAs and physical separation or inference of labeling through PCR-generated mutations, followed by short-read sequencing. However, these methods are limited in their ability to identify transient decay intermediates or co-analyze RNA decay with cis-regulatory elements of RNA stability such as poly(A) tail length and modification status, at single molecule resolution. Here we use 5-ethynyl uridine (5EU) to label nascent RNA followed by direct RNA sequencing with nanopores. We developed RNAkinet, a deep convolutional and recurrent neural network that processes the electrical signal produced by nanopore sequencing to identify 5EU-labeled nascent RNA molecules. RNAkinet demonstrates generalizability to distinct cell types and organisms and reproducibly quantifies RNA kinetic parameters allowing the combined interrogation of RNA metabolism and cis-acting RNA regulatory elements.

bioinformatics↗

bioRxiv2023

Full-length direct RNA sequencing reveals widespread RNA decay upon cellular stress

Cells react to stress by triggering response pathways, leading to extensive alterations in the transcriptome to restore cellular homeostasis. The role of RNA metabolism in shaping the cellular response to stress is vital, yet the global changes in RNA stability under these conditions remain unclear. In this work, we employ direct RNA sequencing with nanopores, enhanced by 5 end adaptor ligation, to comprehensively interrogate the human transcriptome at single-molecule and nucleotide resolution. By developing a statistical framework to identify robust RNA length variations in nanopore data, we find that cellular stress induces prevalent 5 end RNA decay that is coupled to translation and ribosome occupancy. Unlike typical RNA decay models in normal conditions, we show that stress-induced RNA decay is dependent on XRN1 but does not depend on deadenylation or decapping. We observed that RNAs undergoing decay are predominantly enriched in the stress granule transcriptome while inhibition of stress granule formation via genetic ablation of G3BP1 and G3BP2 rescues RNA length. Our findings reveal RNA decay as a key determinant of RNA metabolism upon cellular stress and dependent on stress-granule formation.

cell biology↗

bioRxiv2023

Senescence-specific translation dysregulation desensitizes cells to stress by inhibiting activation of the integrated stress response

Senescence is a state of indefinite cell cycle arrest associated with aging, cancer, and age-related diseases. Here, using label-based mass spectrometry, ribosome profiling and nanopore direct RNA sequencing, we explore the coordinated interaction of translational and transcriptional programs of human cellular senescence. We find that translational deregulation and a corresponding maladaptive integrated stress response (ISR) is a hallmark of senescence that desensitizes senescent cells to stress. We present evidence that senescent cells maintain high levels of eIF2 phosphorylation, typical of ISR activation, but translationally repress production of the stress response transcription factor 4 (ATF4) by ineffective bypass of the inhibitory upstream open reading frames. Surprisingly, ATF4 translation remains inhibited even after acute proteotoxic and amino acid starvation stressors, resulting in a highly diminished stress response. Furthermore, absent a response, stress augments the senescence secretory phenotype, thus intensifying a proinflammatory state that exacerbates disease. Our results reveal a novel mechanism that senescent cells exploit to evade an adaptive stress response and remain viable.

molecular biology↗

bioRxiv2019

A new pathway of pre-tRNA surveillance in yeast

During tRNA maturation in yeast, aberrant pre-tRNAs are targeted for 3-5 degradation by the nuclear surveillance pathway, and mature tRNAs are targeted for 5-3 degradation by the rapid tRNA decay (RTD) pathway, due to lack of certain body modifications or to destabilizing mutations. Here we show that the RTD pathway also targets pre-tRNAs through an unknown, but distinct, mechanism that occurs after nuclear export. Anticodon stem RTD variants of both tRNATyr and tRNASer(CGA) are substrates for pre-tRNA RTD, triggered by the accumulation of end-matured unspliced pre-tRNA due to altered secondary structure of the region comprising the anticodon stem-loop and the intron. Furthermore, increased nuclear availability of a pre-tRNA RTD substrate can provoke decay by nuclear surveillance. We interpret these results in terms of a model of opportunistic tRNA decay, wherein tRNAs are degraded due to a combination of structural instability and increased availability to decay pathways.

molecular biology↗