mRNA 5' terminal sequences drive 200-fold differences in expression through effects on synthesis, translation and decay.

mRNA regulatory sequences control gene expression at multiple levels including translation initiation and mRNA decay. The 5' terminal sequences of mRNAs have unique regulatory potential because of their proximity to key post-transcriptional regulators. Here we have systematically probed the function of 5' terminal sequences in gene expression in human cells. Using a library of reporter mRNAs initiating with all possible 7-mer sequences at their 5' ends, we find an unexpected impact on transcription that underlies 200-fold differences in mRNA expression. Library sequences that promote high levels of transcription mirrored those found in native mRNAs and define two basic classes with similarities to classic Initiator (Inr) and TCT core promoter motifs. By comparing transcription, translation and decay rates, we identify sequences that are optimized for both efficient transcription and growth-regulated translation and stability, including variants of terminal oligopyrimidine (TOP) motifs. We further show that 5' sequences of endogenous mRNAs are enriched for multi-functional TCT/TOP hybrid sequences. Together, our results reveal how 5' sequences define two general classes of mRNAs with distinct growth-responsive profiles of expression across synthesis, translation and decay.

Global analysis of LARP1 translation targets reveals tunable and dynamic features of 5' TOP motifs.

Terminal oligopyrimidine (TOP) motifs are sequences at the 5' ends of mRNAs that link their translation to the mTOR Complex 1 (mTORC1) nutrient-sensing signaling pathway. They are commonly regarded as discrete elements that reside on ∼100 mRNAs that mostly encode translation factors. However, the full spectrum of TOP sequences and their prevalence throughout the transcriptome remain unclear, primarily because of uncertainty over the mechanism that detects them. Here, we globally analyzed translation targets of La-related protein 1 (LARP1), an RNA-binding protein and mTORC1 effector that has been shown to repress TOP mRNA translation in a few specific cases. We establish that LARP1 is the primary translation regulator of mRNAs with classical TOP motifs genome-wide, and also that these motifs are extreme instances of a broader continuum of regulatory sequences. We identify the features of TOP sequences that determine their potency and quantify these as a metric that accurately predicts mTORC1/LARP1 regulation called a TOPscore. Analysis of TOPscores across the transcriptomes of 16 mammalian tissues defines a constitutive "core" set of TOP mRNAs, but also identifies tissue-specific TOP mRNAs produced via alternative transcription initiation sites. These results establish the central role of LARP1 in TOP mRNA regulation on a transcriptome scale and show how it connects mTORC1 to a tunable and dynamic program of gene expression that is tailored to specific biological contexts.

Roadblock-qPCR: A simple and inexpensive strategy for targeted measurements of mRNA stability.

The stability of mRNAs is fundamental to determining expression level and dynamics. Nonetheless, current approaches for measuring transcript half-lives (e.g. transcription shutoff) are generally toxic or technically complex. Here we describe an alternative strategy for targeted measurements of endogenous mRNA stability that is simple, inexpensive, and non-toxic. Cells are first metabolically labelled with the nucleoside analog 4-thiouridine (4sU). Extracted mRNA can then be treated with the thiol-reactive compound N-ethylmaleimide. This compound modifies 4sU nucleotides and sterically interferes with reverse transcription of 4sU-containing transcripts, disrupting their conversion into cDNA. The decay rate of non-4sU-containing pre-existing mRNA can then be monitored by quantitative PCR (qPCR). Importantly, this approach avoids the biochemical isolation of 4sU-labelled transcripts and/or RNA-seq analysis required for other metabolic-labelling strategies. In summary, our method combines the simplicity of "transcription shutoff" strategies with the accuracy of metabolic-labelling strategies for measurements of mRNA stability across a wide range of half-lives.

Induced pluripotent stem cell reprogramming-associated methylation at the GABRA2 promoter and chr4p12 GABAA subunit gene expression in the context of alcohol use disorder.

Twin studies indicate that there is a significant genetic contribution to the risk of developing alcohol use disorder (AUD). With the exception of coding variants in ADH1B and ALDH2, little is known about the molecular effects of AUD-associated loci. We previously reported that the AUD-associated synonymous polymorphism rs279858 within the GABAA α2 receptor subunit gene, GABRA2, was associated with gene expression of the chr4p12 GABAA subunit gene cluster in induced pluripotent stem cell (iPSC)-derived neural cultures. Based on this and other studies that showed changes in GABRA2 DNA methylation associated with schizophrenia and aging, we examined methylation in GABRA2. Specifically, using 69 iPSC lines and neural cultures derived from 47 of them, we examined whether GABRA2 rs279858 genotype predicted methylation levels and whether methylation was related to GABAA receptor subunit gene expression. We found that the GABRA2 CpG island undergoes random stochastic methylation during reprogramming and that methylation is associated with decreased GABRA2 gene expression, an effect that extends to the GABRB1 gene over 600 kb distal to GABRA2. Further, we identified additive effects of GABRA2 CpG methylation and GABRA2 rs279858 genotype on expression of the GABRB1 subunit gene in iPSC-derived neural cultures.

Measuring mRNA Decay with Roadblock-qPCR.

The control of mRNA stability is fundamental to gene regulation, and a deeper understanding of this post-transcriptional regulatory step can provide key insights into gene function. Measuring mRNA half-lives directly, however, is challenging. The most common strategies for evaluating mRNA stability and decay involve blocking general transcription and then measuring the decline in mRNA levels over time. The downside of these approaches, however, is that they severely impact cell function and viability, indirectly perturbing gene expression. Here, we describe Roadblock-qPCR, a simple method for measuring mRNA decay kinetics in living cells that is both economical and quick. Cells are first incubated with the nucleoside analog 4-thiouridine (4sU), which is readily incorporated into nascent mRNAs during transcription. RNA is then extracted and treated with N-ethylmaleimide (NEM), a sulfhydryl alkylating agent that selectively modifies 4sU, before proceeding to cDNA synthesis. Because the NEM-modified 4sU creates a chemical "roadblock" that interferes with reverse transcription, this treatment ultimately results in the depletion of the nascent 4sU-containing transcripts from the cDNA pool. As such, the decay rate of the non-4sU-labeled pre-existing mRNAs can be monitored by quantitative PCR (qPCR). In combination with spike-in standards, this approach can be used to efficiently and accurately measure the half-lives of endogenous mRNAs with a wide range of stabilities, while avoiding the artifacts of transcription shutoff strategies. © 2022 Wiley Periodicals LLC. Basic Protocol: Roadblock-qPCR Support Protocol: Synthesis of spike-in mRNA.

Characterization and quantification of necrotic tissues and morphology in multicellular ovarian cancer tumor spheroids using optical coherence tomography.

The three-dimensional (3D) tumor spheroid model is a critical tool for high-throughput ovarian cancer research and anticancer drug development in vitro. However, the 3D structure prevents high-resolution imaging of the inner side of the spheroids. We aim to visualize and characterize 3D morphological and physiological information of the contact multicellular ovarian tumor spheroids growing over time. We intend to further evaluate the distinctive evolutions of the tumor spheroid and necrotic tissue volumes in different cell numbers and determine the most appropriate mathematical model for fitting the growth of tumor spheroids and necrotic tissues. A label-free and noninvasive swept-source optical coherence tomography (SS-OCT) imaging platform was applied to obtain two-dimensional (2D) and 3D morphologies of ovarian tumor spheroids over 18 days. Ovarian tumor spheroids of two different initial cell numbers (5,000- and 50,000- cells) were cultured and imaged (each day) over the time of growth in 18 days. Four mathematical models (Exponential-Linear, Gompertz, logistic, and Boltzmann) were employed to describe the growth kinetics of the tumor spheroids volume and necrotic tissues. Ovarian tumor spheroids have different growth curves with different initial cell numbers and their growths contain different stages with various growth rates over 18 days. The volumes of 50,000-cells spheroids and the corresponding necrotic tissues are larger than that of the 5,000-cells spheroids. The formation of necrotic tissue in 5,000-cells numbers is slower than that in the 50,000-cells ones. Moreover, the Boltzmann model exhibits the best fitting performance for the growth of tumor spheroids and necrotic tissues. Optical coherence tomography (OCT) can serve as a promising imaging modality to visualize and characterize morphological and physiological features of multicellular ovarian tumor spheroids. The Boltzmann model integrating with 3D OCT data of ovarian tumor spheroids provides great potential for high-throughput cancer research in vitro and aiding in drug development.

Retrospective evaluation of a modified human lung cancer stage classification in dogs with surgically excised primary pulmonary carcinomas.

The stage classification for canine primary pulmonary carcinomas (PPC) was last updated in 1980. In people, the human lung cancer stage classification (HLCSC) (currently in its eighth edition) plays an integral role in diagnostic and therapeutic decision-making and is prognostic despite a heterogeneous population of tumours. The objective of this retrospective case study was to evaluate the prognostic significance of a canine lung carcinoma stage classification (CLCSC) adapted from the HLCSC by removal of substage for ease of application to canine PPC. A secondary objective was to evaluate the effect of adjuvant chemotherapy. Medical records of 71 dogs with histologically confirmed PPC were reviewed. All dogs underwent surgical excision of the primary lung tumour. Primary tumour features (referring to T1-T4 stages) and TNM stages (1-4) were assigned using the CLCSC. Canine lung carcinoma stage was I (n = 7), II (n = 32), III (n = 24) and IV (n = 8). Median survival time was 952, 658, 158 and 52 days for stages I-IV, respectively. Primary tumour features (T1-T4), incomplete surgical excision, presence of lymph node metastasis and tumour grade were independent prognostic indicators for overall survival. Twenty-six dogs received adjuvant chemotherapy; however, no statistically significant benefit was found. The CLCSC primary tumour features and stage classification were highly prognostic for survival in dogs with PPC. We propose further application and evaluation of this update to canine PPC stage classification. Given the poor prognosis of advanced stage canine PPC, novel treatments are needed.