The volume-regulated anion channel LRRC8C suppresses T cell function by regulating cyclic dinucleotide transport and STING-p53 signaling.

The volume-regulated anion channel (VRAC) is formed by LRRC8 proteins and is responsible for the regulatory volume decrease (RVD) after hypotonic cell swelling. Besides chloride, VRAC transports other molecules, for example, immunomodulatory cyclic dinucleotides (CDNs) including 2'3'cGAMP. Here, we identify LRRC8C as a critical component of VRAC in T cells, where its deletion abolishes VRAC currents and RVD. T cells of Lrrc8c-/- mice have increased cell cycle progression, proliferation, survival, Ca2+ influx and cytokine production-a phenotype associated with downmodulation of p53 signaling. Mechanistically, LRRC8C mediates the transport of 2'3'cGAMP in T cells, resulting in STING and p53 activation. Inhibition of STING recapitulates the phenotype of LRRC8C-deficient T cells, whereas overexpression of p53 inhibits their enhanced T cell function. Lrrc8c-/- mice have exacerbated T cell-dependent immune responses, including immunity to influenza A virus infection and experimental autoimmune encephalomyelitis. Our results identify cGAMP uptake through LRRC8C and STING-p53 signaling as a new inhibitory signaling pathway in T cells and adaptive immunity.

Agnostic Framework for the Classification/Identification of Organisms Based on RNA Post-Transcriptional Modifications.

We propose a novel approach for building a classification/identification framework based on the full complement of RNA post-transcriptional modifications (rPTMs) expressed by an organism at basal conditions. The approach relies on advanced mass spectrometry techniques to characterize the products of exonuclease digestion of total RNA extracts. Sample profiles comprising identities and relative abundances of all detected rPTM were used to train and test the capabilities of different machine learning (ML) algorithms. Each algorithm proved capable of identifying rigorous decision rules for differentiating closely related classes and correctly assigning unlabeled samples. The ML classifiers resolved different members of the Enterobacteriaceae family, alternative Escherichia coli serotypes, a series of Saccharomyces cerevisiae knockout mutants, and primary cells of the Homo sapiens central nervous system, which shared very similar genetic backgrounds. The excellent levels of accuracy and resolving power achieved by training on a limited number of classes were successfully replicated when the number of classes was significantly increased to escalate complexity. A dendrogram generated from ML-curated data exhibited a hierarchical organization that closely resembled those afforded by established taxonomic systems. Finer clustering patterns revealed the extensive effects induced by the deletion of a single pivotal gene. This information provided a putative roadmap for exploring the roles of rPTMs in their respective regulatory networks, which will be essential to decipher the epitranscriptomics code. The ubiquitous presence of RNA in virtually all living organisms promises to enable the broadest possible range of applications, with significant implications in the diagnosis of RNA-related diseases.

Sheath fluid impacts the depletion of cellular metabolites in cells afflicted by sorting induced cellular stress (SICS).

Flow cytometrists have long observed a spectrum of cell-type-specific changes ranging from minor functional defects to outright cell destruction after purification of cells using conventional droplet cell sorters. We have described this spectrum of cell perturbations as sorter induced cellular stress, or SICS (Lopez and Hulspas, Cytometry, 2020, 97, 105-106). Despite the potential impact of this issue and ubiquitous anecdotes, little has been reported about this phenomenon in the literature, and the underlying mechanism has been elusive. Inspired by others' observations (Llufrio et al., Redox Biology, 2018, 16, 381-387 and Binek et al., Journal of Proteome Research, 2019, 18, 169-181), we set out to examine SICS at the metabolic level and use this information to propose a working model. Using representative suspension (Jurkat) and adherent (NIH/3T3) cell lines we observed broad and consistent metabolic perturbations after sorting using a high-speed droplet cell sorter. Our results suggest that the SICS metabolic phenotype is a common cell-type-independent manifestation and may be the harbinger of a wide-range of functional defects either directly related to metabolism, or cell stress response pathways. We further demonstrate a proof of concept that a modification to the fluidic environment (complete media used as sheath fluid) in a droplet cell sorter can largely rescue the intracellular markers of SICS, and that this rescue is not due to a contribution of metabolites found in media. Future studies will focus on characterizing the potential electro-physical mechanisms inherent to the droplet cell sorting process to determine the major contributors to the SICS mechanism.

Selective Alanine Transporter Utilization Creates a Targetable Metabolic Niche in Pancreatic Cancer.

Pancreatic ductal adenocarcinoma (PDAC) evolves a complex microenvironment comprised of multiple cell types, including pancreatic stellate cells (PSC). Previous studies have demonstrated that stromal supply of alanine, lipids, and nucleotides supports the metabolism, growth, and therapeutic resistance of PDAC. Here we demonstrate that alanine cross-talk between PSCs and PDAC is orchestrated by the utilization of specific transporters. PSCs utilize SLC1A4 and other transporters to rapidly exchange and maintain environmental alanine concentrations. Moreover, PDAC cells upregulate SLC38A2 to supply their increased alanine demand. Cells lacking SLC38A2 fail to concentrate intracellular alanine and undergo a profound metabolic crisis resulting in markedly impaired tumor growth. Our results demonstrate that stromal-cancer metabolic niches can form through differential transporter expression, creating unique therapeutic opportunities to target metabolic demands of cancer. SIGNIFICANCE: This work identifies critical neutral amino acid transporters involved in channeling alanine between pancreatic stellate and PDAC cells. Targeting PDAC-specific alanine uptake results in a metabolic crisis impairing metabolism, proliferation, and tumor growth. PDAC cells specifically activate and require SLC38A2 to fuel their alanine demands that may be exploited therapeutically.This article is highlighted in the In This Issue feature, p. 890.

2'-O-ribose methylation of transfer RNA promotes recovery from oxidative stress in Saccharomyces cerevisiae.

Chemical modifications that regulate protein expression at the translational level are emerging as vital components of the cellular stress response. Transfer RNAs (tRNAs) are significant targets for methyl-based modifications, which are catalyzed by tRNA methyltransferases (Trms). Here, Saccharomyces cerevisiae served as a model eukaryote system to investigate the role of 2'-O-ribose tRNA methylation in the cell's response to oxidative stress. Using 2'-O-ribose deletion mutants for trms 3, 7, 13, and 44, in acute and chronic exposure settings, we demonstrate a broad cell sensitivity to oxidative stress-inducing toxicants (i.e., hydrogen peroxide, rotenone, and acetic acid). A global analysis of hydrogen peroxide-induced tRNA modifications shows a complex profile of decreased, or undetectable, 2'-O-ribose modification events in 2'-O-ribose trm mutant strains, providing a critical link between this type of modification event and Trm status post-exposure. Based on the pronounced oxidative stress sensitivity observed for trm7 mutants, we used a bioinformatic tool to identify transcripts as candidates for regulation by Trm7-catalyzed modifications (i.e., enriched in UUC codons decoded by tRNAPheGmAA). This screen identified transcripts linked to diverse biological processes that promote cellular recovery after oxidative stress exposure, including DNA repair, chromatin remodeling, and nutrient acquisition (i.e., CRT10, HIR3, HXT2, and GNP1); moreover, these mutants were also oxidative stress-sensitive. Together, these results solidify a role for TRM3, 7, 13, and 44, in the cellular response to oxidative stress, and implicate 2'-O-ribose tRNA modification as an epitranscriptomic strategy for oxidative stress recovery.

Generating retinoic acid gradients by local degradation during craniofacial development: One cell's cue is another cell's poison.

Retinoic acid (RA) is a vital morphogen for early patterning and organogenesis in the developing embryo. RA is a diffusible, lipophilic molecule that signals via nuclear RA receptor heterodimeric units that regulate gene expression by interacting with RA response elements in promoters of a significant number of genes. For precise RA signaling, a robust gradient of the morphogen is required. The developing embryo contains regions that produce RA, and specific intracellular concentrations of RA are created through local degradation mediated by Cyp26 enzymes. In order to elucidate the mechanisms by which RA executes precise developmental programs, the kinetics of RA metabolism must be clearly understood. Recent advances in techniques for endogenous RA detection and quantification have paved the way for mechanistic studies to shed light on downstream gene expression regulation coordinated by RA. It is increasingly coming to light that RA signaling operates not only at precise concentrations but also employs mechanisms of degradation and feedback inhibition to self-regulate its levels. A global gradient of RA throughout the embryo is often found concurrently with several local gradients, created by juxtaposed domains of RA synthesis and degradation. The existence of such local gradients has been found especially critical for the proper development of craniofacial structures that arise from the neural crest and the cranial placode populations. In this review, we summarize the current understanding of how local gradients of RA are established in the embryo and their impact on craniofacial development.

Global Epitranscriptomics Profiling of RNA Post-Transcriptional Modifications as an Effective Tool for Investigating the Epitranscriptomics of Stress Response.

The simultaneous detection of all the post-transcriptional modifications (PTMs) that decorate cellular RNA can provide comprehensive information on the effects of changing environmental conditions on the entire epitranscriptome. To capture this type of information, we performed the analysis of ribonucleotide mixtures produced by hydrolysis of total RNA extracts from S. cerevisiae that was grown under hyperosmotic and heat shock conditions. Their global PTM profiles clearly indicated that the cellular responses to these types of stresses involved profound changes in the production of specific PTMs. The observed changes involved not only up-/down-regulation of typical PTMs, but also the outright induction of new ones that were absent under normal conditions, or the elimination of others that were normally present. Pointing toward the broad involvement of different classes of RNAs, many of the newly observed PTMs differed from those engaged in the known tRNA-based mechanism of translational recoding, which is induced by oxidative stress. Some of the expression effects were stress-specific, whereas others were not, thus suggesting that RNA PTMs may perform multifaceted activities in stress response, which are subjected to distinctive regulatory pathways. To explore their signaling networks, we implemented a strategy based on the systematic deletion of genes that connect established response genes with PTM biogenetic enzymes in a putative interactomic map. The results clearly identified PTMs that were under direct HOG control, a well-known protein kinase pathway involved in stress response in eukaryotes. Activation of this signaling pathway has been shown to result in the stabilization of numerous mRNAs and the induction of selected lncRNAs involved in chromatin remodeling. The fact that PTMs are capable of altering the activity of the parent RNAs suggest their possible participation in feedback mechanisms aimed at modulating the regulatory functions of such RNAs. This tantalizing hypothesis will be the object of future studies.

Profiling ribonucleotide modifications at full-transcriptome level: a step toward MS-based epitranscriptomics.

The elucidation of the biological significance of RNA post-transcriptional modifications is hampered by the dearth of effective high-throughput sequencing approaches for detecting, locating, and tracking their levels as a function of predetermined experimental factors. With the goal of confronting this knowledge gap, we devised a strategy for completing global surveys of all ribonucleotide modifications in a cell, which is based on the analysis of whole cell extracts by direct infusion electrospray ionization mass spectrometry (ESI-MS). Our approach eschews chromatographic separation to promote instead the direct application of MS techniques capable of providing detection, differentiation, and quantification of post-transcriptional modifications (PTMs) in complex ribonucleotide mixtures. Accurate mass analysis was used to carry out database-aided identification of PTMs, whereas multistep tandem mass spectrometry (MS(n)) and consecutive reaction monitoring (CRM) provided the necessary structural corroboration. We demonstrated that heat-map plots afforded by ion mobility spectrometry mass spectrometry (IMS-MS) can provide comprehensive modification profiles that are unique for different cell types and metabolic states. We showed that isolated tRNA samples can be used as controlled sources of PTMs in standard-additions quantification. Intrinsic internal standards enable direct comparisons of heat-maps obtained under different experimental conditions, thus offering the opportunity to evaluate the global effects of such conditions on the expression levels of all PTMs simultaneously. This type of comparative analysis will be expected to support the investigation of the system biology of RNA modifications, which will be aimed at exploring mutual correlations of their expression levels and providing new valuable insights into their biological significance.

Direct infusion analysis of nucleotide mixtures of very similar or identical elemental composition.

The challenges posed by the analysis of mono-nucleotide mixtures by direct infusion electrospray ionization were examined in the context of recent advances of mass spectrometry (MS) technologies. In particular, we evaluated the merits of high-resolution mass analysis, multistep gas-phase dissociation, and ion mobility determinations for the characterization of species with very similar or identical elemental composition. The high resolving power afforded by a linear trap quadrupole-orbitrap allowed the complete differentiation of overlapping isotopic distributions produced by nucleotides that differed by a single mass unit. Resolving (12)C signals from nearly overlapped (13)C contributions provided the exact masses necessary to calculate matching elemental compositions for unambiguous formulae assignment. However, it was the ability to perform sequential steps of gas-phase dissociation (i.e. MS(n)-type analysis) that proved more valuable for discriminating between truly isobaric nucleotides, such as the AMP/dGMP and UMP/ΨMP couples, which were differentiated in the mixture from their unique fragmentation patterns. The identification of diagnostic fragments enabled the deconvolution of dissociation spectra containing the products of coexisting isobars that could not be individually isolated in the mass-selection step. Approaches based on ion mobility spectrometry-MS provided another dimension upon which isobaric nucleotides could be differentiated according to their distinctive mobility behaviors. Subtle structural variations, such as the different positions of an oxygen atom in AMP/dGMP or the glycosidic bond in UMP/ΨMP, produced detectable differences in the respective ion mobility profiles, which enabled the differentiation of the isobaric couples in the mixture. Parallel activation of all ions emerging from the ion mobility element provided an additional dimension for differentiating these analytes on the basis of both mobility and fragmentation properties.