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Results for “molecular biology”

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bioRxiv2022

Dynamic interplay between non-coding enhancer transcription and gene activity in development

Non-coding transcription at the intergenic regulatory regions is a prevalent feature of metazoan genomes, but its biological function remains uncertain. Here, we devised a live-imaging system that permits simultaneous visualization of gene activity along with intergenic non-coding transcription at the single-cell resolution in Drosophila. Quantitative image analysis revealed that elongation of RNA polymerase II across the internal core region of enhancers leads to suppression of transcriptional bursting from linked genes. Super-resolution imaging and genome-editing analysis further demonstrated that enhancer transcription antagonizes molecular crowding of transcription factors, thereby interrupting the formation of transcription hub at the gene locus. We also show that a certain class of developmental enhancers are structurally optimized to co-activate gene transcription together with non-coding transcription effectively. We suggest that enhancer function is flexibly tunable through the modulation of hub formation via surrounding non-coding transcription during development.

molecular biology↗

bioRxiv2026

Insights into tick-pathogen interactions - a single cell RNA sequencing approach of transcriptional changes during ehrlichial infection

Tick-borne diseases represent a significant threat to human and animal health worldwide. In the United States, the blacklegged tick, Ixodes scapularis (I. scapularis), serves as a competent vector for several bacterial pathogens, including Ehrlichia muris eauclairensis (EME). The I. scapularis embryonic cell line (ISE6) is a valuable tool for propagating tick-borne pathogens and studying tick-pathogen interactions. In this study, we examined the cellular complexity of ISE6 cells and their response to EME infection. Single-cell RNA sequencing revealed 15 distinct cell clusters present. Although ISE6 cells are heterogeneous, they do not display transcriptional similarity to any known tick tissues. Notably, this lack of similarity did not influence their susceptibility to EME infection. Our results demonstrated that EME infection induces time-dependent transcriptional changes in ISE6 cells: early infection is characterized by upregulation of genes associated with stress adaptation, mitochondrial function, and metabolic pathways, whereas late infection leads to broad downregulation of genes involved in the cell cycle, DNA replication, and cytoskeletal organization. These findings enhance our understanding of ehrlichial interactions with ISE6 cells and reinforce the utility of this cell line as a resource for isolating and propagating arthropod endosymbionts and tick-borne pathogens. IMPORTANCEThis study provides a single-cell resolution framework for interpreting tick cell line biology during infection with a medically relevant ehrlichial pathogen. Using scRNA-seq, we show that the I. scapularis embryonic-derived ISE6 cell line comprises multiple transcriptionally distinct cell states, yet these states do not map cleanly onto canonical tick tissue signatures, even when compared against a curated reference tissue atlas. Despite this heterogeneity, EME broadly infects ISE6 cell population, indicating that susceptibility is not restricted to a specific cell type. We further define a time-dependent arthropod vector response in which early infection is marked by activation of stress and metabolic adaptation response, followed by late-stage inhibition of key signaling, transcriptional, and proliferative pathways as bacterial burden increases. Together, these findings strengthen the biological interpretation of ISE6 as an in vitro model for tick-pathogen interactions and provide a resource for future mechanistic studies of ehrlichial persistence, replication, and vector competence.

molecular biology↗

bioRxiv2026

Modelling the polygenicity and clinical heterogeneity of human depression in mice to identify biomarkers of antidepressant response

Major depressive disorders (MDD) are predicted to become the first cause of burden of disease worldwide in 2030, but 30% of patients still do not respond to antidepressants. Current rodent models of MDD mainly result either from one genetic or one environmental risk factor exposure, not recapitulating the multifactorial and polygenic nature of MDD. We recently generated a polygenic mouse model of MDD from selective breeding after mild stress in the Tail Suspension Test (TST), named H-TST. Here, we selected animals exhibiting high immobility during the Forced Swim Test (FST) to generate a new stable polygenic model of MDD, called H-FST. Unlike our previous H-TST model, H-FST mice did not exhibit any anxiety-or anhedonia-like behaviors, nor did they display any sleep disturbances. Moreover, H-TST and H-FST mice showed opposite response after administration of various antidepressant treatments. The gene expression level in the prefrontal cortex of H-TST and H-FST mice revealed little overlap in genes and biological pathways associated with depressive-like behaviors and opposite dysregulation of excitatory/inhibitory synaptic imbalance. Finally, these two models allowed in humans the identification biomarkers of treatment response specific of clinical subgroup of patients.

molecular biology↗

bioRxiv2025

Non-Invasive Diagnostic Evaluation of Urinary Exosomal Let-7c Cluster Expression in Bladder Cancer Using Machine Learning Approaches

BackgroundBladder cancer (BCa) diagnosis typically relies on invasive cystoscopy, which is effective but costly and uncomfortable. Urinary microRNAs (miRNAs), especially exosomal ones, are promising non-invasive biomarkers due to their stability in biological fluids and disease specificity. However, challenges such as population variability, methodological inconsistencies and normalization issues hinder their clinical translation, emphasizing the need for innovative approaches to enhance diagnostic performance. ObjectiveTo evaluate the diagnostic potential of urinary exosomal let-7c cluster (let-7c-5p, miR-99a-5p and miR-125b-5p) in BCa patients by integrating miRNA expression data with Machine Learning (ML) models. MethodsUrine samples were collected from 66 participants, including 50 BCa patients and 16 healthy controls (HC). Exosomal miRNAs were isolated and quantified using Quantitative Real-Time-Polymerase-Chain-Reaction (qRT-PCR). Statistical analysis and hypothesis tests were conducted to explore the nature and diagnostic relevance of individual biomarkers. A logistic regression classifier was applied to evaluate both the combined and differential diagnostic capabilities of the selected biomarkers. Accuracy, precision, recall and AU-ROC scores were used to assess model performance. Bioinformatics analysis was performed to identify pathways associated with the features prioritized by the ML models, ensuring their relevance to BCa. ResultsThe result revealed significant differentiation between BCa patients and HC, with miR-99a-5p (p=0.013, AU-ROC=0.71) and miR-125b-5p (p=0.047, AU-ROC=0.64) demonstrating reliable diagnostic performance (let-7c-5p showed weaker discrimination, AU-ROC=0.65, p>0.1). The logistic regression ML model achieved an accuracy of 80.0% (AU-ROC=0.86, recall=100%) in distinguishing cancer from HC and 53.3% (AU-ROC=0.63) when applied to miRNA-only grade classification. When clinical variables were integrated with miRNA expression, performance improved to 73.3% accuracy (AU-ROC=0.61) for high-versus low-grade differentiation. Across Ta-T2, miR-99a-5p displayed relatively better separation, whereas let-7c-5p and miR-125b-5p showed weak stage-related differences. The integration of bioinformatics analysis confirmed the biological relevance of these miRNAs in BCa-related pathways, including PI3K-Akt, p53, NF-{kappa}B and RAS/MAPK signaling, with hub genes such as TP53, MYC, EGFR, and CCND1 identified, further validating the diagnostic utility of the selected biomarkers. ConclusionUrinary let-7c cluster miRNAs demonstrate promising diagnostic potential when analyzed with ML models, offering a non-invasive alternative to conventional methods. These findings highlight the promise of ML-based approaches alongside molecular markers for advancing clinical diagnostics in BCa.

molecular biology↗

bioRxiv2026

CSF glucosylsphingosine is a central readout of GCase impairment across genetic and sporadic Parkinson’s disease

Parkinsons disease (PD) risk converges on lysosomal biology, including reduced activity of glucocerebrosidase (GCase), encoded by GBA1. Glucosylsphingosine (GlcSph), a toxic deacylated glycosphingolipid and established target engagement biomarker in Gaucher disease, is difficult to quantify in cerebrospinal fluid (CSF) because of low abundance and isomeric interference. We optimized and qualified targeted LC-MS/MS assays for GlcSph in CSF and plasma and measured GlcSph and GCase activity (4-MU assay) in participants from the Parkinsons Progression Markers Initiative (PPMI), including GBA1 and LRRK2 mutation carriers with and without PD, sporadic PD, and healthy controls. Group level analyses showed higher levels of CSF and plasma GlcSph in GBA1 heterozygous variant carriers independent of disease status, [~]120% (p<0.0001) and [~]61% (p<0.0001), respectively, with CSF elevations reflecting allelic dosage and, to a lesser degree, variant severity. Notably, elevated CSF GlcSph was observed not only in carriers of pathogenic GBA1 mutations but also in individuals harboring common GBA1 risk variants. CSF GlcSph was also elevated by [~]30% in sporadic PD (p=0.002) and by [~]40% LRRK2 mutation carriers (p=0.0003), indicating shared central GCase pathway perturbation across PD subtypes. CSF and plasma GlcSph levels showed poor concordance across groups with the exception of the GBA-PD group, supporting the hypothesis that central and peripheral GCase pathway dysfunction arise through distinct biological mechanisms. Together, these findings establish CSF GlcSph as a sensitive biomarker of central GCase pathway impairment and may support its use as a pharmacodynamic and target engagement biomarker for therapeutics targeting GCase in PD. More broadly, CSF GlcSph may enable identification of biologically defined GCase-pathway dysfunction beyond genetically defined GBA1-associated PD, with potential implications for patient stratification in future disease-modifying trials.

Molecular Biology↗

bioRxiv2026

The FDA-approved CDK4/6 inhibitor Abemaciclib is a potent agonist of the β-arrestin-biased atypical chemokine receptor ACKR3

Atypical chemokine receptor 3 (ACKR3/CXCR7) is an intrinsically {beta}-arrestin-biased family-A GPCR that controls chemokine availability by scavenging CXCL12 and CXCL11, and consequently plays a key role in cancer, chronic inflammation, autoimmunity, cardiovascular disease, and CNS repair. Despite its pathophysiological significance, the chemical space available to interrogate and therapeutically modulate this receptor remains limited. Here, by using a drug-repurposing strategy to screen 2,342 FDA-approved compounds in a NanoBRET-based fluorescent chemokine-binding competition assay, we identified the clinically used CDK4/6 inhibitor abemaciclib (Verzenios(R)) as a nanomolar ACKR3 ligand. Abemaciclib inhibited CXCL12 binding to ACKR3 with comparable affinity to the ACKR3-reference agonist VUF15485, whereas the related clinically used CDK4/6 inhibitors palbociclib, ribociclib, dalpiciclib and trilaciclib were inactive on this receptor. Binding and functional profiling across classical and atypical chemokine receptors revealed selectivity for ACKR3, including lack of detectable activity at the CXCL12 receptors CXCR4 and ACKR5. Abemaciclib acted as a potent ACKR3 agonist, recruiting both {beta}-arrestin-1 and 2 and promoting rapid receptor internalization with potencies and efficacies, like the reference ACKR3 agonist VUF15485. Major CYP3A4-derived abemaciclib metabolites retained ACKR3 binding and agonist activity, albeit with reduced potency. Methionine 13C-HSQC NMR confirmed direct receptor engagement and revealed a small-molecule-like ACKR3 conformational signature distinct from the CXCL12-bound state. Cryo-EM of the abemaciclib-ACKR3-CID24 complex at 3.2 [A] uncovered a unique, inverted U-shaped ligand binding pose in the orthosteric pocket and activation-associated rearrangements of TM6, TM7 and helix 8. Functionally, abemaciclib blocked ACKR3-mediated uptake of CXCL11 and CXCL12 in vitro. Moreover, oral administration of abemaciclib in mice resulted in a time-dependent increase in plasma CXCL12 levels, indicative of in vivo ACKR3 target engagement. These findings establish this FDA-approved kinase inhibitor as a potent ACKR3 modulator and reveal an unexpected pharmacological link of this CDK4/6 inhibitor to atypical chemokine receptor biology.

molecular biology↗

bioRxiv2024

Integrated systems biology identifies disruptions in mitochondrial function and metabolism as key contributors to heart failure with preserved ejection fraction (HFpEF)

BackgroundHeart failure with preserved ejection fraction (HFpEF) accounts for [~]50% of HF cases, with no effective treatments. The ZSF1-obese rat model recapitulates numerous clinical features of HFpEF including hypertension, obesity, metabolic syndrome, exercise intolerance, and LV diastolic dysfunction. Here, we utilized a systems-biology approach to define the early metabolic and transcriptional signatures to gain mechanistic insight into the pathways contributing to HFpEF development. MethodsMale ZSF1-obese, ZSF1-lean hypertensive controls, and WKY (wild-type) controls were compared at 14w of age for extensive physiological phenotyping and LV tissue harvesting for unbiased metabolomics, RNA-sequencing, and assessment of mitochondrial morphology and function. Utilizing ZSF1-lean and WKY controls enabled a distinction between hypertension-driven molecular changes contributing to HFpEF pathology, versus hypertension + metabolic syndrome. ResultsZSF1-obese rats displayed numerous clinical features of HFpEF. Comparison of ZSF1-lean vs WKY (i.e., hypertension-exclusive effects) revealed metabolic remodeling suggestive of increased aerobic glycolysis, decreased {beta}-oxidation, and dysregulated purine and pyrimidine metabolism with few transcriptional changes. ZSF1-obese rats displayed worsened metabolic remodeling and robust transcriptional remodeling highlighted by the upregulation of inflammatory genes and downregulation of the mitochondrial structure/function and cellular metabolic processes. Integrated network analysis of metabolomic and RNAseq datasets revealed downregulation of nearly all catabolic pathways contributing to energy production, manifesting in a marked decrease in the energetic state (i.e., reduced ATP/ADP, PCr/ATP). Cardiomyocyte ultrastructure analysis revealed decreased mitochondrial area, size, and cristae density, as well as increased lipid droplet content in HFpEF hearts. Mitochondrial function was also impaired as demonstrated by decreased substrate-mediated respiration and dysregulated calcium handling. ConclusionsCollectively, the integrated omics approach applied here provides a framework to uncover novel genes, metabolites, and pathways underlying HFpEF, with an emphasis on mitochondrial energy metabolism as a potential target for intervention.

molecular biology↗

bioRxiv2026

Recombinant SIRT1 expression and SIRT1 METTL3 interaction analysis with computational identification of phytochemical SIRT1 activators and inhibitors

Sirtuin 1 (SIRT1), a NAD{+/-}dependent histone deacetylase, regulates diverse biological processes including aging, stress response, and cancer progression. Owing to its dual roles in tumor suppression and promotion, selective modulators of SIRT1 have attracted considerable therapeutic interest. This study explored the interaction of SIRT1 with METTL3 and screened phytochemicals from Indian medicinal plants for potential SIRT1 activation or inhibition. Human SIRT1 (residues 183-665) was cloned, expressed in E. coli, purified, and validated by isothermal titration calorimetry (ITC) to confirm binding with METTL3. Computational approaches, including molecular docking, ADMET profiling, molecular dynamics (MD) simulations, MM-PBSA free energy estimation, and frontier molecular orbital (FMO) analysis, were employed to characterize ligand interactions. Docking revealed Catechin, Epicatechin, Kaempferol, and Bisdemethoxycurcumin as potent inhibitors, showing stronger binding than the reference inhibitor Selisistat by stabilizing the catalytic pocket via key hydrogen bonds and {pi}-{pi} stacking interactions. Among activators, Ginsenosides and Carnosol demonstrated higher affinities than resveratrol, binding the allosteric site through hydrophobic and electrostatic interactions. MD simulations highlighted Catechin and Ginsenosides as the most stable modulators, supported by reduced RMSD, compact Rg values, and favorable hydrogen bond occupancy. MM-PBSA confirmed their strong binding free energies, while ADMET analysis predicted favorable pharmacokinetic properties and low toxicity, particularly for Catechin and Ginsenosides. Overall, this study integrates expression and purification of the protein and computational modeling to identify phytochemicals as potential SIRT1 modulators and provides novel insights into the SIRT1-METTL3 regulatory axis. These findings highlight Catechin and Ginsenosides as promising scaffolds for therapeutic strategies targeting cancer and metabolic disorders.

molecular biology↗

bioRxiv2021

A CRISPR/Cas9 genetically engineered organoid biobank reveals essential host factors for coronaviruses

Rapid identification of host genes essential for virus replication may expedite the generation of therapeutic interventions. Genetic screens are often performed in transformed cell lines that poorly represent viral target cells in vivo, leading to discoveries that may not be translated to the clinic. Intestinal organoids (IOs) are increasingly used to model human disease and are amenable to genetic engineering. To discern which host factors are reliable anti-coronavirus therapeutic targets, we generate mutant clonal IOs for 19 host genes previously implicated in coronavirus biology. We verify ACE2 and DPP4 as entry receptors for SARS-CoV/SARS-CoV-2 and MERS-CoV respectively. SARS-CoV-2 replication in IOs does not require the endosomal Cathepsin B/L proteases, but specifically depends on the cell surface protease TMPRSS2. Other TMPRSS family members were not essential. The newly emerging coronavirus variant B.1.1.7, as well as SARS-CoV and MERS-CoV similarly depended on TMPRSS2. These findings underscore the relevance of non-transformed human models for coronavirus research, identify TMPRSS2 as an attractive pan-coronavirus therapeutic target, and demonstrate that an organoid knockout biobank is a valuable tool to investigate the biology of current and future emerging coronaviruses.

molecular biology↗

bioRxiv2022

The antibiotic phazolicin displays a dual mode of uptake in Gram-negative bacteria

Phazolicin (PHZ) is a peptide antibiotic exhibiting narrow-spectrum activity against rhizobia closely related to its producer Rhizobium sp. Pop5. Using genetic and biochemical techniques, we here identified BacA and YejABEF as two importers of PHZ in a sensitive model strain Sinorhizobium meliloti Sm1021. BacA and YejABEF are members of SLiPT and ABC transporter families of non-specific peptide importers, respectively. The uptake of PHZ by two distinct families of transporters dramatically decreases the naturally occurring rate of resistance. Moreover, since both BacA and YejABEF are essential for the development of functional symbiosis of rhizobia with leguminous plants, the acquisition of PHZ resistance via the inactivation of transporters is further disfavoured since single bacA or yejABEF mutants are unable to propagate in root nodules. Crystal structures of the periplasmic subunit YejA from S. meliloti and Escherichia coli revealed fortuitous bound peptides, suggesting a non-specific peptide-binding mechanism that facilitates the uptake of PHZ and other antimicrobial peptides. SIGNIFICANCEMany bacteria produce antimicrobial peptides to eliminate competitors and create an exclusive niche. These peptides kill bacteria by either membrane disruption or inhibiting essential intracellular processes. The Achilles heel of the latter type of antimicrobials is their dependence on transporters to enter the susceptible bacteria since mutations in such transporters result in resistance. We describe here how the ribosome-targeting peptide phazolicin, produced by Rhizobium sp. Pop5, uses two different transporters, BacA and YejABEF, to get into the cells of the symbiotic bacterium Sinorhizobium meliloti. This dramatically reduces the probability of resistance acquisition. Both transporters need to be inactivated for phazolicin resistance acquisition. Since these transporters are also crucial in S. meliloti for its symbiotic association with host plants, their inactivation in biological settings is highly unlikely. This makes PHZ an attractive lead for the development of a biocontrol agent with potential for use in agriculture.

molecular biology↗

bioRxiv2018

Evidence of a noncoding transcript of the RIPK2 gene overexpressed in head and neck tumor

Receptor-interacting proteins are a family of serine/threonine kinases, which integrate extra and intracellular stress signals caused by different factors, including infections, inflammation and DNA damage. Receptor-interacting serine/threonine-protein kinase 2 (RIP-2) is a member of this family and an important component of the nuclear factor NF-kappa-B signaling pathway. The corresponding human gene RIPK2 generates two transcripts by alternative splicing, the full-length and a short transcript. The short transcript has a truncated 5 sequence, which results in a predicted isoform with a partial kinase domain but able to transduce signals through its caspase recruitment domain. In this study, the expression of RIPK2 was investigated in human tissue samples and, in order to determine if both transcripts are similarly regulated at the transcriptional level, cancer cell lines were submitted to temperature and acid stresses. We observed that both transcripts are expressed in all tissues analyzed, with higher expression of the short one in tumor samples, and they are differentially regulated following temperature stress. Despite transcription, no corresponding protein for the short transcript was detected in tissues and cell lines analyzed. We propose that the shorter transcript is a noncoding RNA and that its presence in the cell may play regulatory roles and affect inflammation and other biological processes related to the kinase activity of RIP-2.

molecular biology↗

bioRxiv2026

High-variance phenome database reveals important roles of WD40 proteins in the plant pathogenic fungus Fusarium graminearum

WD40 is a highly conserved protein domain in eukaryotes, playing a critical role in various cellular process. We conducted genome-wide functional analysis of WD40 genes in Fusarium graminearum-a phytopathogenic fungus that causes severe yield loss and mycotoxin contamination in major cereal crops. Comprehensive phenome analysis of 119 WD40 gene deletion mutants across 22 distinct phenotypic traits revealed phenotypic divergence within the phenome, establishing a strong correlation between virulence and sexual reproduction. Notably, 21 core WD40 genes were identified, offering valuable insights into divergent biological processes. Pilot interactome studies of Fgwd101 and Fgwd133 provided further insights into their potential pathobiological functions. Our investigation contributes to broadening our knowledge of the biological mechanisms underlying fungal pathogenesis and may assist in the identification of targets for antifungal agents.

molecular biology↗

bioRxiv2026

A tRNA-derived second messenger mediates antiviral defense

CRISPR-Cas systems are RNA-guided nucleases that enable prokaryotic immunity; however, some loci encode additional associated genes that cooperate with CRISPR effectors to perform diverse biological functions. Here, we uncover a CRISPR-associated kinase (CASK) system that links the recognition of target RNA to protein phosphorylation. We show that the kinase Csx33 phosphorylates Csx34 following activation of Cas13, enabling Csx34 to bind DNA in a sequence-specific manner. Together, Csx33 and Csx34 function as a transcriptional activation module that upregulates cas13 and associated genes, revealing a positive autoregulatory circuit that potentiates the immune response upon detection of foreign RNA. At the molecular level, Csx33 is activated by CCA trinucleotide RNA generated by Cas13-mediated cleavage of tRNA 3' tails, uncovering a novel linear second messenger in bacterial immunity and a previously unrecognized signaling role of collateral RNA fragments. Together, these findings establish CASK systems as a new platform for RNA sensing and for engineering programmable phosphorylation-based signaling systems.

molecular biology↗

bioRxiv2022

Foxg1 regulates translation of neocortical neuronal genes, including the main NMDA receptor subunit gene, Grin1.

Mainly known as a transcription factor patterning the rostral brain and governing its histogenesis, Foxg1 has been also detected outside the nucleus, however biological meaning of that has been only partially clarified. Here, moving from Foxg1 expression in cytoplasm of neocortical neurons, we investigated its implication in translational control. We documented an impact of Foxg1 on ribosomal recruitment of Grin1-mRNA, encoding for the main subunit of NMDA receptor. Next, we showed that Foxg1 increases Grin1 protein level by enhancing translation of its mRNA, while not increasing its stability. Such enhancement was associated to augmented translational initiation and, possibly, polypeptide elongation. Molecular mechanisms at the basis of this activity included Foxg1 interaction with Eif4e and Eef1d as well as with Grin1-mRNA. Besides, we found that, within murine neocortical cultures, Grin1 de novo synthesis undergoes a prominent and reversible, homeostatic regulation and Foxg1 is instrumental to that. Finally, through TRAP-seq, we discovered that Foxg1 is implicated in the translation of hundreds of neuronal genes at the level of ribosome engagement and progression. All that points to Foxg1 as a key effector, crucial to multi-scale temporal tuning of neocortical pyramid activity, an issue with profound physiological and neuropathological implications.

molecular biology↗

bioRxiv2025

Structural basis for human chondroitin sulfate chain polymerization

Chondroitin sulfates are complex polysaccharide chains that regulate various biological processes at the cell surface and within the extracellular matrix. Here, we identify four heterodimeric complexes responsible for chondroitin sulfate chain polymerization in humans: CHSY1-CHPF, CHSY1-CHPF2, CHSY3-CHPF and CHSY3-CHPF2. Using a novel in vitro glycosylation assay based on chemo-enzymatically synthesized fluorescent substrates, we demonstrate that all four complexes exhibit chain polymerization activity. The cryo-EM structure of the CHSY3-CHPF complex provides, for the first time, molecular insights into the chondroitin sulfate chain polymerization reaction. The architecture of the catalytic sites suggests that CHSY1 and CHSY3 are enzymatically active, while CHPF and CHPF2 primarily play a stabilizing role. Mutational analysis of purified enzyme complexes, combined with an in cellulo complementation assay, confirms that only CHSY1 and CHSY3 have bifunctional glycosyltransferase activities. Based on the spatial arrangement of the catalytic sites, we propose that chondroitin sulfates chain polymerization follows a non-processive, disruptive mechanism.

molecular biology↗

bioRxiv2022

Detecting apoptosis via DODO

The real-time detection of intracellular biological processes by coded sensors has broad application prospects. Here we develop a degron based modular reporting system: the Device of Death Operation (DODO), which can be used to detect a series of biological processes. The DODO system consists of "reporter", "sensor" and degron. After protease activation and cleavage, the degron will be released from the fluorescent protein and eventually lead to the stabilization of the fluorescent protein. By replacing different "sensors" and "reporters", a series of biological processes can be reported through different signals. The system can effectively report the existence of TEV. To prove this concept, we successfully apply the DODO system to report apoptosis. In addition, the reporter based on degron will help to design protease reporters other than caspase.

molecular biology↗

bioRxiv2022

To make a short story long: simultaneous short and long RNA profiling on Nanopore devices

Sequencing of long coding RNAs informs about the abundance and the novelty in the transcriptome, while sequencing of short coding RNAs (e.g., microRNAs) or long non-coding RNAs informs about the epigenetic regulation of the transcriptome. Currently, each of these goals is addressed by separate sequencing experiments given the different physical characteristics of RNA species from biological samples. Sequencing of both short and long RNAs from the same experimental run has not been reported for long-read Nanopore sequencing to date and only recently has been achieved for short-read (Illumina) methods. We propose a library preparation method capable of simultaneously profiling short and long RNA reads in the same library on the Nanopore platform and provide the relevant bioinformatics workflows to support the goals of RNA quantification. Using a variety of synthetic samples we demonstrate that the proposed method can simultaneously detect short and long RNAs in a manner that is linear over 5 orders of magnitude for RNA abundance and three orders of magnitude for RNA length. In biological samples the proposed method is capable of profiling a wider variety of short and long non-coding RNAs when compared against the existing Smart-seq protocols for Illumina and Nanopore sequencing.

molecular biology↗

bioRxiv2025

The Environment-Dependent Regulatory Landscape of the E. coli Genome

1All cells respond to changes in both their internal milieu and the environment around them through the regulation of their genes. Despite decades of effort, there remain huge gaps in our knowledge of both the function of many genes (the so-called y-ome) and how they adapt to changing environments via regulation. Here we describe a joint experimental and theoretical dissection of the regulation of a broad array of more than 100 biologically interesting genes in E. coli across 39 diverse environments, enabling us to identify the binding sites and transcription factors that mediate regulatory control. Using a combination of mutagenesis, massively parallel reporter assays, mass spectrometry, and tools from information theory and statistical physics, we go from complete ignorance of a promoters environment-dependent regulatory architecture to a quantitative description of its binding sites, candidate transcription factors that bind them where identifiable, and the conditions under which they act. As proof of principle of the biological insights to be gained from such a study, we chose a combination of genes from the y-ome, toxin-antitoxin pairs, and genes hypothesized to be part of regulatory modules; we discovered a host of new insights into their underlying regulatory landscape and resulting biological function. We highlight discoveries for y-ome genes, including transcription start sites and transcription factor binding sites at base-pair resolution, and their dependence on growth conditions.

molecular biology↗