Biology subjects

Rissland, O. S.

Publications and source records attributed to Rissland, O. S..

10 recordsLinked to original sources

bioRxiv2026

A Ubiquitin network safeguards cell identity by continuously degrading stem-cell related translational machinery

How cell identity is maintained is a fundamental question, and loss of cell identity is a hallmark of aging that is associated with multiple age-related diseases. In the adult Drosophila midgut, we identified a post-transcriptional regulatory layer that supervises enterocyte (EC) identity and fails upon aging. Combining single-cell RNA-seq with lineage tracing in aging ECs and classical genetics we found that aging ECs express genes that unlock the differentiated state. Upon aging, the protein Rogue (CG13928), a translational repressor, orchestrates reactivation of a stem-cell-related translational repression machinery involving p-body-associated RNA-binding proteins that cancels the differentiated state. In young ECs, this machinery is continuously suppressed by the deubiquitinase Non-stop (dUSP22) and the ubiquitin E2 dUbcH8/Kdo and the E3 enzyme CTLH, together suppress the stem-cell related RNA binding proteins safeguarding EC identity. Upon aging, the levels of dUSP22 decline, dUbcH8/Kdo and the E3 CTLH complex are cleared via Rogue, and the stem cell-related p-bodies are reactivated, self-destroying EC identity.

cell biology↗

bioRxiv2023

Transcriptional buffering and 3'UTR lengthening are shaped during human neurodevelopment by shifts in mRNA stability and microRNA load

The contribution of mRNA half-life is commonly overlooked when examining changes in mRNA abundance during development. mRNA levels are regulated by transcription rate or mRNA half-life, but combinations of both could boost or buffer the final steady-state. We measured transcription rate and mRNA half-life changes during human induced pluripotent stem cell (iPSC)-derived neuronal development using RATE-seq. The most prevalent mode of gene regulation during transitions to neuronal progenitors and neurons was transcriptional buffering. Less prevalent modes consisted of transcriptional boosting events, transcription rate only shifts, or mRNA half-life only shifts. Buffered and novel boosted gene sets were enriched in RNA-binding protein (RBP) motifs and microRNA sites. Global mRNA half-life decreased two-fold in neurons. microRNA copy number per cell increased during neurodevelopment coincident with destabilization of a subset of short isoforms that contributed to increased average 3'UTR length. Our findings identify mRNA instability mechanisms that regulate transcript levels and 3'UTR isoform abundance, and provide a precedent for transcriptional boosting or buffering during development of other human tissues.

molecular biology↗

bioRxiv2022

Improved methods for the large-scale cultivation of Giardia lamblia trophozoites in the academic laboratory

The parasitic protist Giardia lamblia causes giardiasis, one of the leading diarrheal diseases worldwide. As a phylogenetically divergent eukaryote, Giardia is also an emerging model organism for exploring the diversity of core eukaryotic metabolic pathways and important molecular structures. To date, methods for the cultivation of large numbers (>109) of Giardia trophozoites have been either expensive or cumbersome, hampering structural and biochemical studies. Here, we present two improved strategies for the laboratory-scale growth of billions of adherent trophozoites, with suggestions for the optimization of media components, media preparation, and harvesting methods.

microbiology↗

bioRxiv2021

Buffering of transcription rate by mRNA half-life is a conserved feature of Rett syndrome models

Models of MECP2 dysfunction in Rett syndrome (RTT) assume that transcription rate changes directly correlate with altered steady-state mRNA levels. However, limited evidence suggests that transcription rate changes are buffered by poorly understood compensatory post-transcriptional mechanisms. Here we measure transcription rate and mRNA half-life changes in RTT patient neurons using RATE-seq, and reinterpret nuclear and whole-cell RNAseq from Mecp2 mice. Genes are dysregulated by changing transcription rate only or half-life only and are buffered when both are changed. We utilized classifier models to understand the direction of transcription rate changes based on gene-body DNA sequence, and combined frequencies of three dinucleotides were better predictors than contributions by CA and CG. MicroRNA and RNA-Binding Protein (RBP) motifs were enriched in 3UTRs of genes with half-life changes. Motifs for nuclear localized RBPs were enriched on buffered genes with increased transcription rate. Our findings identify post-transcriptional mechanisms in humans and mice that alter half-life only or buffer transcription rate changes when a transcriptional modulator gene is mutated in a neurodevelopmental disorder.

neuroscience↗

bioRxiv2021

Intron dynamics reveal principles of gene regulation during the maternal-to-zygotic transition

The maternal-to-zygotic transition (MZT) is a conserved embryonic process in animals where developmental control shifts from the maternal to zygotic genome. A key step in this transition is zygotic transcription, and deciphering the MZT requires classifying newly transcribed genes. However, due to current technological limitations, this starting point remains a challenge for studying many species. Here we present an alternative approach that characterizes transcriptome changes based solely on RNA-seq data. By combining intron-mapping reads and transcript-level quantification, we characterized transcriptome dynamics during the Drosophila melanogaster MZT. Our approach provides an accessible platform to investigate transcriptome dynamics that can be applied to the MZT in non-model organisms. In addition to classifying zygotically transcribed genes, our analysis revealed that over 300 genes express different maternal and zygotic transcript isoforms due to alternative splicing, polyadenylation, and promoter usage. The vast majority of these zygotic isoforms have the potential to be subject to different regulatory control, and over two-thirds encode different proteins. Thus, our analysis reveals an additional layer of regulation during the MZT, where new zygotic transcripts can generate additional proteome diversity.

developmental biology↗

bioRxiv2021

Precise gene models using long-read sequencing reveal a unique poly(A) signal in Giardia lamblia

During pre-mRNA processing, the poly(A) signal is recognized by a protein complex that ensures precise cleavage and polyadenylation of the nascent transcript. The location of this cleavage event establishes the length and sequence of the 3' UTR of an mRNA, thus determining much of its post-transcriptional fate. Here, using long-read sequencing, we characterize the polyadenylation signal and related sequences surrounding Giardia lamblia cleavage sites for over 2600 genes. We find that G. lamblia uses a AGURAA poly(A) signal, which differs from the mammalian AAUAAA. We also describe how G. lamblia lacks common auxiliary elements found in other eukaryotes, along with the proteins that recognize them. Further, we identify 133 genes that show evidence of alternative polyadenylation. These results suggest that despite pared down cleavage and polyadenylation machinery, 3' end formation still appears to be an important regulatory step for gene expression in G. lamblia.

genomics↗

bioRxiv2020

The Giardia lamblia ribosome structure reveals divergence in translation and quality control pathways

Giardia lamblia is a human pathogen of worldwide importance with limited treatment options. Its unusual molecular biology presents targets for new therapies and the opportunity to explore the fundamental features of important biological mechanisms. We determined the structure of the G. lamblia 80S ribosome by cryoelectron microscopy, revealing how it combines eukaryotic and bacterial features. The structure reveals regions that are rapidly evolving, including depletion of A and U bases from its rRNA. Specific features of the G. lamblia ribosome suggest it is less prone to stall on problematic peptide sequences, and that the organism uses altered ribosome quality control pathways compared to other eukaryotes. Examination of translation initiation factor binding sites suggests these interactions are conserved despite a divergent initiation mechanism. This work defines key new questions regarding ribosome-centric biological pathways in G. lamblia and motivates new experiments to explore potential targetable mechanisms.

molecular biology↗

bioRxiv2019

Egg activation triggers clearance of maternally deposited RNA binding proteins

The maternal-to-zygotic transition (MZT) is a conserved step in animal development, where control is passed from the maternal genome to the zygotic one. Although the MZT is typically considered from its impact on the transcriptome, we previously found that three maternally deposited Drosophila RNA binding proteins (ME31B, Trailer Hitch [TRAL], and Cup) are also cleared during the MZT by unknown mechanisms. Here, we show that these proteins are degraded by the ubiquitin-proteasome system. Kondo, an E2 conjugating enzyme, and the E3 CTLH ligase are required for the destruction of ME31B, TRAL, and Cup. Importantly, despite occurring hours earlier, egg activation establishes the timer for clearance of these proteins by activating the Pan Gu kinase, which in turn stimulates translation of Kondo mRNA. In other words, egg activation triggers a series of regulatory events that culminate in the degradation of maternally deposited RNA binding proteins several hours later. Clearance of the maternal protein dowry thus appears to be a coordinated, but as-yet underappreciated, aspect of the MZT.\n\nHIGHLIGHTSO_LIDegradation of ME31B requires the PNG kinase, but not fertilization\nC_LIO_LIThe ubiquitin-proteasome system degrades ME31B via CTLH E3 ligase and the UBC-E2H/Kondo ubiquitin-conjugating enzyme\nC_LIO_LIThe association of ME31B with the CTLH complex does not require PNG activity\nC_LIO_LIPNG kinase mediates the translational upregulation of Kondo at egg activation\nC_LI

developmental biology↗

bioRxiv2018

Codon usage and amino acid identity are major determinants of mRNA stability in humans

mRNA degradation is a critical, yet poorly understood, aspect of gene expression. Previous studies demonstrate that codon content acts as a major determinant of mRNA stability in model organisms. In humans, the importance of open reading frame (ORF)-mediated regulation remains unclear. Here, we globally analyzed mRNA stability for both endogenous and human ORFeome collection mRNAs in human cells. Consistent with previous studies, we observed that synonymous codon usage impacts human mRNA decay. Unexpectedly, amino acid identity also acts as a driver of translation-dependent decay, meaning that primary protein sequence dictates overall mRNA levels and, consequently, protein abundance. Both codon usage and amino acid identity affect translational elongation rate to varying degrees in distinct organisms, with the net result being sensed by mRNA degradation machinery. In humans, interplay between ORF- and UTR-mediated control of mRNA stability may be critical to offset this fundamental relationship between protein sequence and mRNA abundance.

molecular biology↗

bioRxiv2017

DRUID: A pipeline for reproducible transcriptome-wide measurements of mRNA stability

Control of messenger RNA (mRNA) stability is an important aspect of gene regulation. The gold standard for measuring mRNA stability transcriptome-wide uses metabolic labeling, biochemical isolation of labeled RNA populations, and high-throughput sequencing. However, difficult normalization procedures and complex computational algorithms have inhibited widespread adoption of this approach. Here, we present DRUID (for Determination of Rates Using Intron Dynamics), a computational pipeline that is robust, easy to use, and freely available. Our pipeline uses endogenous introns to normalize time course data and yields more reproducible half-lives than other methods, even with datasets that were otherwise unusable. DRUID can handle datasets from a variety of organisms, spanning yeast to humans, and we even applied it retroactively on published datasets. We anticipate that DRUID will allow broad application of metabolic labeling for studies of mRNA stability.

molecular biology↗