Biology subjects

Das, R.

Publications and source records attributed to Das, R..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Compact RNA sensors for increasingly complex functions of multiple inputs

Designing single molecules that compute general functions of input molecular partners represents a major unsolved challenge in molecular design. Here, we demonstrate that high-throughput, iterative experimental testing of diverse RNA designs crowdsourced from Eterna yields sensors of increasingly complex functions of input oligonucleotide concentrations. After designing single-input RNA sensors with activation ratios beyond our detection limits, we created logic gates, including challenging XOR and XNOR gates, and sensors that respond to the ratio of two inputs. Finally, we describe the OpenTB challenge, which elicited 85-nucleotide sensors that compute a score for diagnosing active tuberculosis, based on the ratio of products of three gene segments. Building on OpenTB design strategies, we created an algorithm Nucleologic that produces similarly compact sensors for the three-gene score based on RNA and DNA. These results open new avenues for diverse applications of compact, single molecule sensors previously limited by design complexity.

synthetic biology↗

bioRxiv2023

Tertiary folds of the SL5 RNA from the 5' proximal region of SARS-CoV-2 and related coronaviruses

Coronavirus genomes sequester their start codons within stem-loop 5 (SL5), a structured, 5' genomic RNA element. In most alpha- and betacoronaviruses, the secondary structure of SL5 is predicted to contain a four-way junction of helical stems, some of which are capped with UUYYGU hexaloops. Here, using cryogenic electron microscopy (cryo-EM) and computational modeling with biochemically-determined secondary structures, we present three-dimensional structures of SL5 from six coronaviruses. The SL5 domain of betacoronavirus SARS-CoV-2, resolved at 4.7 [A] resolution, exhibits a T-shaped structure, with its UUYYGU hexaloops at opposing ends of a coaxial stack, the Ts "arms." Further analysis of SL5 domains from SARS-CoV-1 and MERS (7.1 and 6.4-6.9 [A] resolution, respectively) indicate that the junction geometry and inter-hexaloop distances are conserved features across the studied human-infecting betacoronaviruses. The MERS SL5 domain displays an additional tertiary interaction, which is also observed in the non-human-infecting betacoronavirus BtCoV-HKU5 (5.9-8.0 [A] resolution). SL5s from human-infecting alphacoronaviruses, HCoV-229E and HCoV-NL63 (6.5 and 8.4-9.0 [A] resolution, respectively), exhibit the same coaxial stacks, including the UUYYGU-capped arms, but with a phylogenetically distinct crossing angle, an X-shape. As such, all SL5 domains studied herein fold into stable tertiary structures with cross-genus similarities, with implications for potential protein-binding modes and therapeutic targets. SignificanceThe three-dimensional structures of viral RNAs are of interest to the study of viral pathogenesis and therapeutic design, but the three-dimensional structures of viral RNAs remain poorly characterized. Here, we provide the first 3D structures of the SL5 domain (124-160 nt, 40.0-51.4 kDa) from the majority of human-infecting coronaviruses. All studied SL5s exhibit a similar 4-way junction, with their crossing angles grouped along phylogenetic boundaries. Further, across all species studied, conserved UUYYGU hexaloop pairs are located at opposing ends of a coaxial stack, suggesting that their three-dimensional arrangement is important for their as-of-yet defined function. These conserved tertiary features support the relevance of SL5 for pan-coronavirus fitness and highlight new routes in understanding its molecular and virological roles and in developing SL5-based antivirals. Classification: Biological Sciences, Biophysics and Computational Biology

biophysics↗

bioRxiv2023

Minimization of the E. coli ribosome, aided and optimized by community science

The ribosome is a ribonucleoprotein complex found in all domains of life. Its role is to catalyze protein synthesis, the messenger RNA (mRNA)-templated formation of amide bonds between -amino acid monomers. Amide bond formation occurs within a highly conserved region of the large ribosomal subunit known as the peptidyl transferase center (PTC). Here we describe the stepwise design and characterization of mini-PTC 1.1, a 284-nucleotide RNA that recapitulates many essential features of the Escherichia coli PTC. Mini-PTC 1.1 folds into a PTC-like structure under physiological conditions, even in the absence of r-proteins, and engages small molecule analogs of A- and P-site tRNAs. The sequence of mini-PTC 1.1 differs from the wild type E. coli ribosome at 12 nucleotides that were installed by a cohort of citizen scientists using the on-line video game Eterna. These base changes improve both the secondary structure and tertiary folding of mini-PTC 1.1 as well as its ability to bind small molecule substrate analogs. Here, the combined input from Eterna citizen-scientists and RNA structural analysis provides a robust workflow for the design of a minimal PTC that recapitulates many features of an intact ribosome.

synthetic biology↗

bioRxiv2023

Fusobacterium nucleatum present in the saliva of oral cancer subjects can activate niche defense of oral squamous cell carcinoma

Oral cancer is a subset of head and neck cancer (HNC), has a high incidence rate in this malignancy group. Cancer Stem Cells (CSCs) are population of the heterogeneous malignant cells present within oral tumor microenvironment. CSCs stemness permits them to control several signaling pathways and so play a role in cancer progression and relapse. A number of studies have recently demonstrated the presence of specific oral bacteria populations and their lipopolysaccharides (LPS) in the tumor microenvironment. The precise mechanism of action in the initiation, progression, and relapse of oral cancer by the oral bacteria are yet to be determined. We previously reported pathogenic bacterial internalization in CSCs. Based on the findings; we have developed an in-vitro model to investigate how oral microbiota may integrate into the tumor microenvironments CSC population and control its activity. Notably, we found that live bacteria and their LPS, mostly Fusobacterium nucleatum isolated from clinical subjects, were capable of invading CSCs in the in-vitro experimental design setup. Post the host-pathogen interaction; it enabled the activation of a niche modulatory tumor stemness defense (TSD) phenotype in the CSCs. These aggressive CSCs with the TSD phenotype have been found to have a critical role in the progression and relapse of oral cancer.

cancer biology↗

bioRxiv2023

Metallo-protease Peptidase M84 from Bacillus altitudinis induces ROS dependent apoptosis in ovarian cancer cells by targeting PAR-1

In pursuit of isolating novel anticancer proteases from environmental microbial isolates, we have purified and identified an extracellular metallo-protease from Bacillus altitudinis named Peptidase M84. This protease selectively triggered apoptosis in human ovarian adenocarcinoma cells (PA-1, SKOV3) and mouse ovarian carcinoma cells (ID8), in addition to exhibiting no significant effect on normal human epithelial ovarian cell (IOSE) and mouse peritoneal macrophage (PEM[FE]) cell viabilities. Protease activated receptor-1 (PAR-1); a GPCR which is reported to be overexpressed in ovarian cancer cells was identified as a novel target of Peptidase M84. We observed that Peptidase M84 induced PAR-1 overexpression along with activating its downstream signalling effectors NF{kappa}B and MAPK to promote excessive reactive oxygen species (ROS) generation in ovarian cancer cells. This disrupted mitochondrial membrane potential, allowed cytosolic release of mitochondrial cytochrome c, increased the Bax (pro-apoptotic) to Bcl-2 (anti-apoptotic) ratio and promoted DNA damage to evoke apoptotic death of the ovarian cancer cells. Peptidase M84 also reduced nuclear ki-67 expression in these malignant cells to render an anti-proliferative role. In in vivo set-up, weekly intraperitoneal administration of Peptidase M84 (12 {micro}g/kg body-weight) in the ID8 mice model significantly diminished ascitic fluid accumulation through induction of oxidative stress, increasing murine survival rates by 60%. Collectively, our in vitro and in vivo findings suggested that Peptidase M84 triggered PAR-1 mediated oxidative stress to act as an apoptosis inducer in ovarian cancer cells. This established Peptidase M84 as a promising drug candidate for receptor mediated targeted-therapy of ovarian cancer. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=158 HEIGHT=200 SRC="FIGDIR/small/556500v2_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@6b0a19org.highwire.dtl.DTLVardef@1640510org.highwire.dtl.DTLVardef@1888b49org.highwire.dtl.DTLVardef@1708114_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2023

Evaluation of morpho-physiological and yield-associated traits of rice (Oryza sativa L.) landraces combined with marker-assisted selection under high temperature stress and elevated atmospheric CO2 levels

Rice (Oryza sativa L.) has a tremendous domestication history and is presently used as a major cereal all over the world. In Asia, India is considered as one of the centers of origin of indica rice and has several native landraces, especially in North-Eastern India (NEI), which have the potential to cope with the negative impact of present-day climate change. The current investigation aimed to evaluate the NEI rice landraces potential under high temperatures and elevated CO2 levels in comparison with a check variety for phenological, morphological, physiological and yield-associated parameters and molecularly validated with marker-assisted genotyping. The initial experiment was carried out with 75 rice landraces to evaluate their high heat tolerance ability. Seven better-performing landraces along with the check variety (N22) were further evaluated for aforesaid traits across two years (2019 and 2020) under control (or T1) and two stress treatments - (i) mild stress or T2 [CO2 550 ppm + 4{degrees} C more than ambient temperature] and (ii) severe stress or T3 [CO2 750 ppm + 6{degrees} C more than ambient temperature] using bioreactors. In the molecular analysis, the eight selected genotypes were evaluated through 25 Start Codon Targeted (SCoT) markers. The results revealed that the mild stress (T2) had a positive impact on various morpho-physiological parameters like plant height, number of leaves, leaf area and yield parameters like spikelets panicle-1 (S/P), thousand-grain weight (TGW) and grain yield (GY). This effect could be attributed to the genotypes ability to maintain a higher photosynthetic rate and possess better tolerance ability to moderately high temperatures. However, under high-temperature conditions in T3, all genotypes exhibited a significant decrease in the studied parameters including GY. It was found that pollen traits were significantly and positively correlated to spikelet fertility% at maturity, which was further significantly associated with GY under applied stress conditions. The physiological traits including shoot biomass were evident to have a significant positive effect on yield-associated parameters like S/P, harvest index (HI), TGW and GY. Overall, two landraces Kohima special and Lisem were found to be better responsive compared to other landraces as well as the check variety N22 under stress conditions. SCoT genotyping amplified a total of 77 alleles out of which 55 were polymorphic with the PIC value ranging from 0.22 to 0.67. The investigation suggests the presence of genetic variation among the tested rice lines and further supports evidence of the closely relatedness of Kohima special and Lisem. These two are two better-performing rice landraces from North-East India based on their improving morpho-physiological parameters and yield attributes in mild and severe high temperature and elevated CO2 stress environments. The shortlisted two rice landraces can be used as valuable pre-breeding materials for future rice breeding programs to improve the stress tolerance properties, particularly to high temperatures and elevated CO2 levels under ongoing changing climatic scenarios.

plant biology↗

bioRxiv2023

CASP15 cryoEM protein and RNA targets: refinement and analysis using experimental maps

CASP assessments primarily rely on comparing predicted coordinates with experimental reference structures. However, errors in the reference structures can potentially reduce the accuracy of the assessment. This issue is particularly prominent in cryoEM-determined structures, and therefore, in the assessment of CASP15 cryoEM targets, we directly utilized density maps to evaluate the predictions. A method for ranking the quality of protein chain predictions based on rigid fitting to experimental density was found to correlate well with the CASP assessment scores. Overall, the evaluation against the density map indicated that the models are of high accuracy although local assessment of predicted side chains in a 1.52 [A] resolution map showed that side-chains are sometimes poorly positioned. The top 136 predictions associated with 9 protein target reference structures were selected for refinement, in addition to the top 40 predictions for 11 RNA targets. To this end, we have developed an automated hierarchical refinement pipeline in cryoEM maps. For both proteins and RNA, the refinement of CASP15 predictions resulted in structures that are close to the reference target structure, including some regions with better fit to the density. This refinement was successful despite large conformational changes and secondary structure element movements often being required, suggesting that predictions from CASP-assessed methods could serve as a good starting point for building atomic models in cryoEM maps for both proteins and RNA. Loop modeling continued to pose a challenge for predictors with even short loops failing to be accurately modeled or refined at times. The lack of consensus amongst models suggests that modeling holds the potential for identifying more flexible regions within the structure.

bioinformatics↗

bioRxiv2023

Enhancing gene transfer to renal tubules and podocytes by context-dependent selection of AAV capsids

Despite recent remarkable advancements in adeno-associated virus (AAV) vector technologies, effective gene delivery to the kidney remains a significant challenge. Here we show that AAV vector transduction in proximal tubules and podocytes, the crucial targets for renal gene therapy, can be enhanced remarkably through a meticulous selection of both AAV capsids and route of administration, tailored to the condition of the kidney. In this study, we performed a side-by-side comparison of 47 AAV capsids using AAV Barcode-Seq and identified six AAV capsids, including AAV-KP1, that exhibit remarkable enhancement of renal transduction in mice when delivered locally via the renal vein or the renal pelvis. Individual capsid validation analyses revealed that local delivery of AAV-KP1, but not AAV9, enables remarkably enhanced proximal tubule transduction while minimizing off-target liver transduction. In a mouse model of chronic kidney disease, intravenous administration of AAV9, not AAV-KP1, showed efficient renal tubule and podocyte transduction, which was not observed in the control wild-type mice. We also provide evidence that these contrasting observations between AAV-KP1 and AAV9 are attributed to their distinct pharmacokinetic profiles. Thus, this study highlights the importance of context-dependent capsid selection and engineering for successful renal gene therapy.

cell biology↗

bioRxiv2023

Molecular basis of VEGFR1 autoinhibition at the plasma membrane

Ligand-independent activation of VEGFR is a hallmark in diabetes and several cancers. Like most RTKs, the VEGFR2, the primary VEGF receptor, is activated spontaneously at higher receptor concentrations. An exception is VEGFR1, which remains constitutively inactive in the basal state. Ligand stimulation transiently phosphorylates VEGFR1 and induces weak kinase activation in endothelial cells. Recent studies, however, suggest that VEGFR1 signaling is indispensable in regulating various physiological or pathological events, which is puzzling. Why VEGFR1 is differentially regulated is an open question. Here we elucidate a mechanism of juxtamembrane inhibition that shifts the equilibrium more to the inactive state, rendering VEGFR1 an inefficient kinase. Our data suggest that a combination of tyrosine phosphatase activity and JM inhibition suppress the basal phosphorylation of VEGFR1. We conclude that a subtle imbalance in phosphatase activation or removing juxtamembrane inhibition is sufficient to induce basal activation of VEGFR1 and remodel tyrosine phosphorylation to be sustained.

biochemistry↗

bioRxiv2023

Insights into the genomic features, lifestyle and therapeutic potential of B1 sub-cluster mycobacteriophages

BackgroundA large number (about 1200) of mycobacteriophages (phages) have been isolated on Mycobacterium smegmatis mc2155. Their genome analysis shows high sequence diversity; therefore, based on nucleotide sequence similarity and genomic architecture, the related phages have been grouped in clusters and sub-clusters. However, a deeper study of mycobacteriophages has been conducted only for a few clusters. This study explores the traits of phages belonging to the B1 sub-cluster. We have attempted to functionally annotate and experimentally characterize B1 phages to get an insight into their biology and explore their therapeutic potential. MethodsAnalysis of B1 sub-cluster phage genomes to understand their key characteristics & lifestyle and to determine the putative function of hypothetical proteins (HPs), we developed a framework with a specific set of computational tools available online. For the experimental characterization, mycobacteriophages were isolated from environmental samples and were examined for their morphology, lysogeny status, effect on biofilm and activity against drug-resistant M. smegmatis. The B1 sub-cluster phages were identified by PCR using the specific primers. ResultsWe have predicted the function of about 55% of the 77 representative proteins in B1 phages, which were previously deemed hypothetical. We studied ten B1 phages (Phages 1-10) which included their morphological characteristics, lysogeny status and antibiofilm activity. TEM analysis, showing an average head & tail size of 65 nm and 202.12 nm, respectively. The turbid morphology of several plaques suggested these phages to be temperate. To verify, we tested their potential to lysogenize M. smegmatis and later found the spontaneous release from the putative lysogens. Interestingly, a putative RepA-like protein was identified in B1 phage genomes, indicating a possibility of extrachromosomal replication of prophages. Further, the impact of Phages 1-10 on M. smegmatis biofilm was found to be potent; the highest inhibitory and disruptive effect of phages (at a fixed titre of 108 pfu/ml) was 64% and 46%, respectively. Also, all ten phages could kill 4XR1 (the isoniazid-resistant M. smegmatis strain). ConclusionWe believe this combination of experimental analysis and exploration of genomic features of mycobacteriophages belonging to a sub-cluster can provide deeper insights into mycobacteriophage biology and also help in understanding their therapeutic potential.

microbiology↗

bioRxiv2023

Bacterial deamidases modulate ubiquitin structure and dynamics to dysregulate ubiquitin signaling

The deamidases secreted by Burkholderia pseudomallei and Enteropathogenic Ecoli modify the residue 40 in ubiquitin from a Glutamine (Q) to Glutamate (E), triggering several downstream processes to cause cell cycle arrest and activate immune responses. Deamidation hampers the activity of ubiquitin and its interaction with ubiquitin chain receptors by an unknown mechanism. Here, we study the effect of deamidation on ubiquitin structure and dynamics. We report the crystal structure of the deamidated ubiquitin, supported by NMR and molecular dynamics simulations. The structure reveals a new intra-molecular salt bridge between the deamidated region and the C-terminal tail of ubiquitin. The salt bridge perturbs the dynamics of the ubiquitin tail to reduce affinity for ubiquitin receptors like the p62 ubiquitin-associated domain. The salt bridge disrupts the transition to catalytically active E2~Ub closed conformation. Consequently, RING E3s fail to interact with E2~Ub, reducing ubiquitination activity. Our findings reveal that deamidation-induced intramolecular salt bridges in ubiquitin modulate conformational ensembles to inactivate ubiquitination.

biochemistry↗

bioRxiv2023

Assessment of three-dimensional RNA structure prediction in CASP15

The prediction of RNA three-dimensional structures remains an unsolved problem. Here, we report assessments of RNA structure predictions in CASP15, the first CASP exercise that involved RNA structure modeling. Forty two predictor groups submitted models for at least one of twelve RNA-containing targets. These models were evaluated by the RNA-Puzzles organizers and, separately, by a CASP-recruited team using metrics (GDT, lDDT) and approaches (Z-score rankings) initially developed for assessment of proteins and generalized here for RNA assessment. The two assessments independently ranked the same predictor groups as first (AIchemy_RNA2), second (Chen), and third (RNAPolis and GeneSilico, tied); predictions from deep learning approaches were significantly worse than these top ranked groups, which did not use deep learning. Further analyses based on direct comparison of predicted models to cryogenic electron microscopy (cryo-EM) maps and X-ray diffraction data support these rankings. With the exception of two RNA-protein complexes, models submitted by CASP15 groups correctly predicted the global fold of the RNA targets. Comparisons of CASP15 submissions to designed RNA nanostructures as well as molecular replacement trials highlight the potential utility of current RNA modeling approaches for RNA nanotechnology and structural biology, respectively. Nevertheless, challenges remain in modeling fine details such as non- canonical pairs, in ranking among submitted models, and in prediction of multiple structures resolved by cryo-EM or crystallography.

biophysics↗

bioRxiv2023

Whole Body PBPK Model of Nasal Naloxone Administration to Measure Repeat Dosing Requirements During Fentanyl Overdose

Opioid use in the United States and abroad is an endemic part of culture with yearly increases in overdose rates and deaths. As rates of overdose incidence increases, the use of the safe and effective reversal agent, naloxone, in the form of a nasal rescue spray is being fielded and used by emergency medical technicians (EMTs) at a greater and greater rate. Despite advances in deployment of these rescue products, deaths are continuing to increase. There is evidence that repeated dosing of a naloxone nasal spray (such as Narcan) is becoming more common due to the amount and type of opiate being abused. Despite the benefits of naloxone related to opioid reversals, we lack repeated dosing guidelines as a function of opiate and amount the patient has taken. Goal directed dosing is promising, where respiratory markers are being used as an indication of the patient recovery but require time and understanding by the EMT. We construct a whole-body model of the pharmacokinetics and dynamics of an opiate, fentanyl on respiratory depression. We then construct a model of nasal deposition and administration of naloxone to investigate repeat dosing requirements for large overdoses. We demonstrate that naloxone is highly effective at reversing respiratory symptoms of the patient and recommend dosing requirements as a function of opiate amount administered. By designing the model to include circulation and respiration we investigate physiological markers that may be used in goal directed therapy rescue treatments.

pharmacology and toxicology↗

bioRxiv2023

Homeodomain-interacting protein kinase maintains neuronal homeostasis during normal Caenorhabditis elegans aging and systemically regulates longevity from serotonergic and GABAergic neurons

Aging and the age-associated decline of the proteome is determined in part through neuronal control of evolutionarily conserved transcriptional effectors, which safeguard homeostasis under fluctuating metabolic and stress conditions by regulating an expansive proteostatic network. We have discovered the Caenorhabditis elegans homeodomain-interacting protein kinase (HPK-1) acts as a key transcriptional effector to preserve neuronal integrity, function, and proteostasis during aging. Loss of hpk-1 results in drastic dysregulation in expression of neuronal genes, including genes associated with neuronal aging. During normal aging hpk-1 expression increases throughout the nervous system more broadly than any other kinase. Within the aging nervous system, hpk-1 induction overlaps with key longevity transcription factors, which suggests hpk-1 expression mitigates natural age-associated physiological decline. Consistently, pan-neuronal overexpression of hpk-1 extends longevity, preserves proteostasis both within and outside of the nervous system, and improves stress resistance. Neuronal HPK-1 improves proteostasis through kinase activity. HPK-1 functions cell non-autonomously within serotonergic and GABAergic neurons to improve proteostasis in distal tissues by specifically regulating distinct components of the proteostatic network. Increased serotonergic HPK-1 enhances the heat shock response and survival to acute stress. In contrast, GABAergic HPK-1 induces basal autophagy and extends longevity, which requires mxl-2 (MLX), hlh-30 (TFEB), and daf-16 (FOXO). Our work establishes hpk-1 as a key neuronal transcriptional regulator critical for preservation of neuronal function during aging. Further, these data provide novel insight as to how the nervous system partitions acute and chronic adaptive response pathways to delay aging by maintaining organismal homeostasis.

genetics↗

bioRxiv2022

On the origin of viscosity saturation at high densities during zebrafish morphogenesis

A recent experiment on zebrafish blastoderm morphogenesis showed that the viscosity ({eta}) of a non-confluent embryonic tissue grows sharply until a critical cell packing fraction ({phi}S). The increase in{eta} up to{phi} S is similar to the behavior observed in several glass forming materials, which suggests that the cell dynamics is sluggish or glass-like. Surprisingly,{eta} is a constant above{phi} S. To determine the mechanism of this unusual dependence of{eta} on{phi} , we performed extensive simulations using an agent-based model of a dense non-confluent two-dimensional tissue. We show that polydispersity in the cell size, and the propensity of the cells to deform, results in the saturation of the available free area per cell beyond a critical packing fraction. Saturation in the free space not only explains the viscosity plateau above{phi} S but also provides a relationship between equilibrium geometrical packing to the dramatic increase in the relaxation dynamics.

biophysics↗

bioRxiv2022

Rapid Real-time Squiggle Classification for Read Until Using RawMap

ReadUntil enables Oxford Nanopore Technologys (ONT) sequencers to selectively sequence reads of target species in real-time. This enables efficient microbial enrichment for applications such as microbial abundance estimation and is particularly beneficial for metagenomic samples with a very high fraction of non-target reads (> 99% can be human reads). However, read-until requires a fast and accurate software filter that analyzes a short prefix of a read and determines if it belongs to a microbe of interest (target) or not. The baseline Read Until pipeline uses a deep neural network-based basecaller called Guppy and is slow and inaccurate for this task ([~]60% of bases sequenced are unclassified). We present RawMap, an efficient CPU-only microbial species-agnostic Read Until classifier for filtering non-target human reads in the squiggle space. RawMap uses a Support Vector Machine (SVM), which is trained to distinguish human from microbe using non-linear and non-stationary characteristics of ONTs squiggle output (continuous electrical signals). Compared to the baseline Read Until pipeline, RawMap is a 1327X faster classifier and significantly improves the sequencing time and cost, and compute time savings. We show that RawMap augmented pipelines reduce sequencing time and cost by [~]24% and computing cost by [~]22%. Additionally, since RawMap is agnostic to microbial species, it can also classify microbial species it is not trained on. We also discuss how RawMap may be used as an alternative to the RT-PCR test for viral load quantification of SARS-CoV-2. Availability and implementationSoftware is released with MIT License and available on GitHub: https://github.com/harisankarsadasivan/RawMap

bioinformatics↗

bioRxiv2022

RNA structure landscape of S. cerevisiae introns

Pre-mRNA secondary structures are hypothesized to play widespread roles in regulating RNA processing pathways, but these structures have been difficult to visualize in vivo. Here, we characterize S. cerevisiae pre-mRNA structures through transcriptome-wide dimethyl sulfate (DMS) probing, enriching for low-abundance pre-mRNA through splicing inhibition. We cross-validate structures found from phylogenetic and mutational studies and identify new structures within the majority of probed introns (102 of 161). We find widespread formation of "zipper stems" between the 5 splice site and branch point, "downstream stems" between the branch point and the 3 splice site, and previously uncharacterized long stems that distinguish pre-mRNA from spliced mRNA. Multi-dimensional chemical mapping reveals examples where intron structures can form in vitro without the presence of binding partners, and structure ensemble prediction suggests that such structures appear in introns across the Saccharomyces genus. We develop a high-throughput functional assay to characterize variants of RNA structure (VARS-seq) and we apply the method on 135 sets of stems across 7 introns, identifying structured elements that alter retained intron levels at a distance from canonical splice sites. This transcriptome-wide inference of intron RNA structures suggests new ideas and model systems for understanding how pre-mRNA folding influences gene expression.

biochemistry↗

bioRxiv2022

The proteasomal degradation signal FAT10 modulates substrate stability to accelerate degradation

The proteasome controls levels of most cellular proteins, and its activity is regulated under stress, quiescence, and inflammation. However, factors determining the proteasomal degradation activity remain poorly understood. Proteasome substrates are conjugated with small proteins (tags) like ubiquitin and Fat10 to target them to the proteasome. It is unclear if the structural plasticity of proteasome-targeting tags influences substrate degradation. The tag Fat10 is activated during inflammation, and ambiguously, Fat10 and its substrates undergo rapid proteasomal degradation. We report that the rapid degradation of Fat10 substrates depends on its structural plasticity. While the ubiquitin tag is recycled at the proteasome, Fat10 is degraded with the substrate, and the mechanical unfolding kinetics of Fat10 regulates substrate degradation. Our studies reveal that long-range salt bridges are absent in the Fat10 structure, creating a plastic protein with partially unstructured regions suitable for proteasome engagement. Such a malleable structure also provides low resistance to mechanical unfolding and expedites proteasomal degradation. We also uncovered that the Fat10 plasticity destabilizes substrates significantly and creates partially unstructured regions in the substrate to enhance degradation. NMR-relaxation-derived order parameters and temperature dependence of chemical shifts identify the Fat10-induced partially unstructured regions in the substrate. They correlated excellently to the regions where Fat10 contacts the substrate, suggesting that the tag-substrate collision destabilizes the substrate. These results highlight a strong dependence of proteasomal degradation on the structural plasticity and thermodynamic properties of the proteasome-targeting tag.

biochemistry↗