Search bioRxiv⌕ Search

Biology subjects

Chidley, C.

Publications and source records attributed to Chidley, C..

9 recordsLinked to original sources

Ribosome-associated quality control of aberrant protein production during amino acid limitation

Amino acids can become limiting for protein synthesis through depletion of charged tRNAs, leading to ribosome stalling and disruption of translation elongation at specific codons. To assess whether this is a mechanism by which amino acid availability can directly influence gene expression, we designed a reporter library to measure translation disruption across all sense codons in the context of amino acid limitations. We found that arginine limitation consistently impairs translation at the arginine codon AGA, resulting in synthesis of proteins from endogenous transcripts. In contrast, GCN2 pathway activation suppresses translation disruption following depletion of most other amino acids. Genome-wide screens revealed that the ribosome quality control trigger (RQC-T) and RQC pathways, which resolve ribosome collisions on defective mRNAs, catalyze ribosome splitting and premature fall-off in response to arginine depletion. Additionally, the E3 ubiquitin ligase RNF14, recently shown to clear ribosome A-site obstructions, promotes translation disruption through both ribosome fall-off and frameshifting during arginine limitation. Together, these data show that the RQC machinery is engaged by tRNA-limited ribosomes and identify a new role for RNF14 as a regulator of translation upon arginine limitation.

genetics↗

HSD17B13 Couples Hepatocyte Lipid Metabolism to Stellate Cell Activation via TGFb-1 Signaling

Metabolic dysfunction-associated steatohepatitis (MASH) is a progressive liver disease driven by hepatocellular lipid overload, immune activation, and hepatic stellate cell (HSC)-driven fibrogenesis. Human genetic studies reveal that loss-of-function (LoF) variants in 17 beta-hydroxysteroid dehydrogenase 13 (HSD17B13) confer robust protection against advanced fibrosis and cirrhosis, establishing HSD17B13 as a critical genetic modifier of MASH severity. Yet the mechanisms linking HSD17B13 activity to fibrogenic progression remain poorly understood. Here, we show that both wild-type and catalytically deficient HSD17B13 (mHSD) localize to lipid droplets (LDs) in cultured human hepatocytes, but only catalytically active HSD17B13 enhances hepatocellular lipid accumulation and markedly upregulates the lipogenic transcriptional regulator carbohydrate-responsive element-binding protein (ChREBP). This HSD17B13-driven lipogenic axis elicits potent paracrine activation of LX2 stellate cells, both in hepatocyte-HSC co-culture and in response to hepatocyte-conditioned medium (CM). Screening of candidate signaling mediators revealed that transforming growth factor beta-1 (TGFb-1) is uniquely and strongly upregulated by active HSD17B13, with minimal induction by mHSD. Remarkably, siRNA-mediated knockdown of TGFB1 or neutralization of active TGFb-1 protein abolishes CM-induced LX2 activation and collagen synthesis. Collectively, these findings identify HSD17B13 as a dual metabolic and profibrotic effector that drives TGFb-1-dependent HSC activation, thereby linking hepatocellular lipid dysregulation to fibrogenic progression and providing a mechanistic framework for understanding how HSD17B13 contributes to MASH pathogenesis.

cell biology↗

A Microphysiological Model of Progressive Human Hepatic Insulin Resistance

Background & AimsHepatic insulin resistance is a fundamental phenomenon observed in both Type 2 diabetes (T2D) and metabolic (dysfunction) associated fatty liver disease (MAFLD). The relative contributions of nutrients, hyperinsulinemia, hormones, inflammation, and other cues are difficult to parse in vivo as they are convoluted by interplay between the local and systemic events. Here, we used a well-established human liver microphysiological system (MPS) to establish a physiologically-relevant insulin-responsive metabolic baseline and probe how primary human hepatocytes respond to controlled perturbations in insulin, glucose, and free fatty acids (FFAs). MethodsReplicate liver MPS were maintained in media with either 200 pM (normal) or 800 pM (T2D) insulin for up to 3 weeks. Conditions of standard glucose (5.5 mM), hyperglycemia (11 mM glucose), normal (20{micro}M) and elevated FFA (100 {micro}M), alone and in combination were used at each insulin concentration, either continuously or reversing back to standard media after 2 weeks of simulated T2D conditions. Hepatic glucose production, activation of signaling pathways, insulin clearance, transcriptome analysis, and intracellular lipid and bile acid accumulation were assessed. ResultsHyperinsulinemia alone induces insulin resistance after one week of exposure, while hyperglycemia and increased FFAs significantly exacerbate this phenotype. Hyperinsulinemia, along with elevated glucose and FFAs, transcriptionally predisposes hepatocytes to insulin resistance through altered metabolic and immune signaling pathways. The phenotypes observed in hyperinsulinemia and nutrient overload are partially reversible upon return to normophysiologic conditions. ConclusionsOur enhanced in vitro model, replicating multiple aspects of the insulin-resistant condition, offers improved insights into disease mechanisms with relevance to human physiology. Lay SummaryThe many nutritional, hormonal, and systemic inflammatory factors that contribute to the loss of sensitivity to insulin in Type 2 Diabetes and other metabolic disorders are difficult to parse in human patients, and animal models fail to capture all the human dimensions of the relevant biology. We, therefore, developed a microphysiological systems model, involving a microfluidic platform that cultures a simulated human liver for weeks at a time, under controlled nutrient and hormone concentrations, to analyze how the effects of nutrition (glucose and free fatty acids) together with increased insulin cause pathological features seen in human liver in vivo. We found that continually high levels of insulin predispose the liver to some of these features, along with reversal when the nutritional and insulin levels were restored to healthy values.

bioengineering↗

ASCT2 is the primary serine transporter in cancer cells

The non-essential amino acid serine is a critical nutrient for cancer cells due to its diverse biosynthetic functions. While some tumors can synthesize serine de novo, others are auxotrophic for serine and therefore reliant on the uptake of exogenous serine. Importantly, however, the transporter(s) that mediate serine uptake in cancer cells are not known. Here, we characterize the amino acid transporter ASCT2 (coded for by the gene SLC1A5) as the primary serine transporter in cancer cells. ASCT2 is well-known as a glutamine transporter in cancer, and our work demonstrates that serine and glutamine compete for uptake through ASCT2. We further show that ASCT2-mediated serine uptake is essential for purine nucleotide biosynthesis and that ER promotes serine uptake by directly activating SLC1A5 transcription. Together, our work defines an additional important role for ASCT2 as a serine transporter in cancer and evaluates ASCT2 as a potential therapeutic target in serine metabolism.

cancer biology↗

A CRISPRi/a screening platform to study cellular nutrient transport in diverse microenvironments

Blocking the import of nutrients essential for cancer cell proliferation represents a therapeutic opportunity, but it is unclear which transporters to target. Here, we report a CRISPRi/a screening platform to systematically interrogate the contribution of specific nutrient transporters to support cancer cell proliferation in environments ranging from standard culture media to tumor models. We applied this platform to identify the transporters of amino acids in leukemia cells and found that amino acid transport is characterized by high bidirectional flux that is dependent on the composition of the microenvironment. While investigating the role of transporters in cystine starved cells, we uncovered a novel role for serotonin uptake in preventing ferroptosis. Finally, we identified transporters essential for cell proliferation in subcutaneous tumors and found that levels of glucose and amino acids can restrain proliferation in that environment. This study provides a framework for the systematic identification of critical cellular nutrient transporters, characterizing the function of such transporters, and studying how the tumor microenvironment impacts cancer metabolism.

cancer biology↗

Nucleotide depletion promotes cell fate transitions by inducing DNA replication stress

Control of cellular identity requires coordination of developmental programs with environmental factors such as nutrient availability, suggesting that modulating aspects of metabolism could alter cell state along differentiation trajectories. Here we find that nucleotide depletion and DNA replication stress are common drivers of cell state progression across a variety of normal and transformed hematopoietic systems. DNA replication stress-induced cell state transitions begin during S phase and are independent of ATR/ATM checkpoint signaling, double-stranded DNA break formation, and changes in cell cycle length. In systems where differentiation is blocked by oncogenic transcription factor expression, replication stress leads to increased activity at primed regulatory loci and expression of lineage-appropriate maturation genes while progenitor TF activity is still present. Altering the baseline cell state by manipulating the cohort of transcription factors expressed redirects the effect of replication stress towards induction of a different set of lineage-specific genes. The ability of replication stress to selectively activate primed maturation programs across different cellular contexts suggests a general mechanism by which metabolism can promote lineage-appropriate and potentially therapeutically relevant cell state transitions.

cancer biology↗

An enhanced isothermal amplification assay for viral detection

Rapid, inexpensive, robust diagnostics are essential to control the spread of infectious diseases. Current state of the art diagnostics are highly sensitive and specific, but slow, and require expensive equipment. We developed a molecular diagnostic test for SARS-CoV-2, FIND (Fast Isothermal Nucleic acid Detection), based on an enhanced isothermal recombinase polymerase amplification reaction. FIND has a detection limit on patient samples close to that of RT-qPCR, requires minimal instrumentation, and is highly scalable and cheap. It can be performed in high throughput, does not cross-react with other common coronaviruses, avoids bottlenecks caused by the current worldwide shortage of RNA isolation kits, and takes ~45 minutes from sample collection to results. FIND can be adapted to future novel viruses in days once sequence is available. One sentence summarySensitive, specific, rapid, scalable, enhanced isothermal amplification method for detecting SARS-CoV-2 from patient samples.

molecular biology↗

Sporadic ERK pulses drive non-genetic resistance in drug-adapted BRAFV600E melanoma cells

Anti-cancer drugs commonly target signal transduction proteins activated by mutation. In patients with BRAFV600E melanoma, small molecule RAF and MEK kinase inhibitors cause dramatic but often transient tumor regression. Emerging evidence suggests that cancer cells adapting by non-genetic mechanisms constitute a reservoir for the development of drug-resistant tumors. Here, we show that few hours after exposure to RAF/MEK inhibitors, BRAFV600E melanomas undergo adaptive changes involving disruption of negative feedback and sporadic pulsatile reactivation of the MAPK pathway, so that MAPK activity is transiently high enough in some cells to drive proliferation. Quantitative proteomics and computational modeling show that pulsatile MAPK reactivation is possible due to the co-existence in cells of two MAPK cascades: one driven by BRAFV600E that is drug-sensitive and a second driven by receptors that is drug-resistant. Paradoxically, this may account both for the frequent emergence of drug resistance and for the tolerability of RAF/MEK therapy in patients.

cancer biology↗

Drugs in a curative combination therapy for lymphoma exhibit low cross-resistance but not pharmacological synergy

Curative cancer therapies are uncommon and nearly always involve multi-drug combinations developed by experimentation in humans; unfortunately, the mechanistic basis for the success of such combinations has rarely been investigated in detail, obscuring lessons learned. Here we use isobologram analysis to score pharmacological interaction, and clone tracing and CRISPR screening to measure cross-resistance among the five drugs comprising R-CHOP, a combination therapy that frequently cures Diffuse Large B-Cell Lymphomas. We find that drugs in R-CHOP exhibit very low cross-resistance but not synergistic interaction; together they achieve a greater fractional kill according to the null hypothesis for both the Loewe dose-additivity model and the Bliss effect-independence model. These data provide direct evidence for the 50-year old hypothesis that a curative cancer therapy can be constructed on the basis of independently effective drugs having non-overlapping mechanisms of resistance, without synergistic interaction, which has immediate significance for the design of new drug combinations.

cancer biology↗