Biology subjects

Pi, J.

Publications and source records attributed to Pi, J..

10 recordsLinked to original sources

bioRxiv2026

The circ_0074371/miR-4738-3p/AMPK Signaling Axis Induces M1 Macrophage Polarization and Restricts Intracellular Survival of Mycobacterium tuberculosis

Tuberculosis, an infectious disease caused by Mycobacterium tuberculosis, remains endemic in regions where it is prevalent. Mycobacterium tuberculosis is an intracellular pathogen that can survive within host macrophages; however, the mechanisms governing its long-term persistence and the progression to active pulmonary tuberculosis remain poorly understood. Circular RNAs (circRNAs) have been implicated in the initiation and progression of numerous diseases. In our previous study, circRNA sequencing identified several circRNAs associated with tuberculosis progression. In the present study, sequencing and reverse transcription-polymerase chain reaction (RT-PCR) analyses revealed that Circ_0074371 was significantly downregulated in monocytes from patients with active pulmonary tuberculosis (ATB) and was closely associated with disease onset and progression, exhibiting considerable diagnostic value for ATB. Functional experiments further showed that Circ_0074371 significantly impaired the intracellular survival of Mtb and promoted M1 macrophage polarization. Mechanistically, Circ_0074371 acted as a competing endogenous RNA by sequestering miR-4738-3p, a potent negative regulator of AMP-activated protein kinase (AMPK) activation. Collectively, these findings identify Circ_0074371 as a tuberculosis-associated circRNA that regulates AMPK activity and reveal a novel mechanism through which Circ_0074371 influences macrophage polarization via the AMPK pathway, providing new insights into potential therapeutic targets for ATB.

immunology↗

bioRxiv2026

Structural engineering of dual-targeting antisense oligonucleotides enhances exon 44 skipping for treating Duchenne muscular dystrophy

Antisense oligonucleotides (ASOs) inducing exon-skipping during pre-mRNA splicing offer promising treatment for diseases such as Duchenne muscular dystrophy. Recently, dual-targeting ASOs that simultaneously bind two splicing regulatory sequences have been shown to improve exon-skipping efficiency. Current ASOs are designed to interact with target RNAs solely based on Watson-Crick base pairing. Here we report the development of dual-targeting three-dimensional bridge (3D-bridge) ASOs in which tertiary interactions are engineered to increase target-binding affinity and the number of target residues occupied. We designed a 3D-bridge ASO for skipping exon 44 of dystrophin mRNA and biochemically validated its enhanced binding affinity for the target RNA over a similar ASO with the tertiary interactions disrupted. We subsequently optimized the 3D-bridge ASO by varying its ends and ribose chemical modifications using patient-derived induced directly reprogrammed myotubes and identified an LNA/DNA mixmer as the most potent. We further demonstrate enhanced exon-skipping efficacy and potency of the 3D-bridge ASO compared to previously reported ASOs in myotubes differentiated from patient-derived primary myoblasts and MyoD-reprogrammed fibroblasts harboring mutations amenable to reframing through exon 44 skipping. In conclusion, the 3D-bridge ASO technology improves the current dual-targeting design, demonstrating the utility and power of structure-based ASO design methods.

pharmacology and toxicology↗

bioRxiv2025

Hyaluronic Acid-Modified Mesoporous Manganese Dioxide Combined with Carboplatin Synergistically Enhances Ovarian Cancer Therapy

Ovarian cancer (OC) is a prevalent malignant tumor that poses a significant threat to womens health. Conventional chemotherapeutic agents, such as carboplatin, are associated with several limitations, including notable side effects and the emergence of drug resistance. Carboplatin (CBP) and hyaluronic acid (HA) were subsequently loaded into nanoparticles through incubation to construct targeted nanoparticles (210.3 nm, -31.2 mV) capable of delivering both chemotherapy and chemodynamic therapy. In vitro experiments demonstrated that these nanoparticles enhanced ROS generation through enzyme-like activity and induced immunogenic cell death (ICD) by releasing damage-associated molecular patterns (DAMPs), such as ATP and HMGB1. In vivo animal studies revealed that the nanoparticles predominantly accumulated at the tumor site within 24 hours and significantly suppressed tumor growth by activating the cGAS-STING pathway. These findings indicate that the CBP@HMnO2@HA nanoparticles exhibit potent chemotherapeutic and chemodynamic properties, along with strong catalytic activity. This study presents a promising nanotechnology-based strategy for cancer therapy. HighlightsO_LIThe CBP@HMnO2@HA nanoparticles integrate chemotherapy with chemodynamic therapy, thereby enhancing anti-tumor efficacy. C_LIO_LIThese nanoparticles induce ROS-mediated immunogenic cell death, leading to the release of DAMPs, including ATP and HMGB1. C_LIO_LIThrough HA-mediated targeting, the nanoparticles demonstrate preferential accumulation within tumor tissues, resulting in significant tumor growth inhibition in vivo while reducing off-target toxicity. C_LI

cancer biology↗

bioRxiv2024

The cornerstone of early diagnosis and immunotherapy of prostate cancer:screening characteristic genes

BackgroundProstate cancer (PCA) has become a common malignant tumor globally, posing a substantial risk to the health of middle-aged and elderly men. However, there is still a lack of effective strategies for early detection and treatment of prostate cancer. The introduction of gene therapy in recent years has shown promise as a potential approach for cancer diagnosis and treatment. Methodology & Theoretical OrientationThe training set data GSE45016, GSE46602, and GSE69223 from the Gene Expression Omnibus (GEO) dataset, along with validation training set data GSE17951, were utilized. Differentially expressed genes (DEGs) between normal individuals and tumor patients were identified by combining the training set data. Subsequent analyses including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) were conducted on the DEGs. WGCNA analysis was then performed on the gene expression matrix to identify module genes highly correlated with PCA, followed by the application of the LASSO algorithm to obtain PCA candidate genes. The candidate genes were validated using the area under the receiver operating characteristic (ROC) curve (AUC) to determine key feature genes. Finally, the relationship between key characteristic genes and immune cells was explored. FindingsA total of 54 DEGs were identified, with 26 down-regulated genes and 28 up-regulated genes. The GO function analysis revealed enrichment in processes such as establishment of protein localization to membrane and protein targeting to membrane. KEGG analysis showed enrichment in pathways like eutrophil degranulation, neutrophil activation involved in immune response, and regulation of cell morphogenesis. GSEA analysis highlighted enrichment in pathways like CTRL_VS_ACT_IL4 AND ANTI_IL12_12H_CD4_TCELL_DN. Through WGCNA and LASSO regression analysis, key characteristic genes MARCKSL1, TMTC4, and TTLL12 were identified, with AUC values greater than 0.8 in both the training and validation sets, and were found to be closely associated with immune cell infiltration. Conclusion & SignificanceMARCKSL1, TMTC4, and TTLL12 emerge as crucial genes in the process of PCA, showing significant relevance to immune cell infiltration.this study offers valuable clinical insights into the diagnosis and treatment of prostate cancer through the identification of specific genes associated with the disease.

genomics↗

bioRxiv2024

How short peptides can disassemble ultra-stable tau fibrils extracted from Alzheimers disease brain by a strain-relief mechanism

Reducing fibrous aggregates of protein tau is a possible strategy for halting progression of Alzheimers disease (AD). Previously we found that in vitro the D-peptide D-TLKIVWC disassembles tau fibrils from AD brains (AD-tau) into benign segments with no energy source present beyond ambient thermal agitation. This disassembly by a short peptide was unexpected, given that AD-tau is sufficiently stable to withstand disassembly in boiling SDS detergent. To consider D peptide-mediated disassembly as a potential therapeutic for AD, it is essential to understand the mechanism and energy source of the disassembly action. We find assembly of D-peptides into amyloid-like fibrils is essential for tau fibril disassembly. Cryo-EM and atomic force microscopy reveal that these D-peptide fibrils have a right-handed twist and embrace tau fibrils which have a left-handed twist. In binding to the AD-tau fibril, the oppositely twisted D-peptide fibril produces a strain, which is relieved by disassembly of both fibrils. This strain-relief mechanism appears to operate in other examples of amyloid fibril disassembly and provides a new direction for the development of first-in-class therapeutics for amyloid diseases.

neuroscience↗

bioRxiv2023

Effort cost of harvest affects decisions and movement vigor of marmosets during foraging

Our decisions are guided by how we perceive the value of an option, but this evaluation also affects how we move to acquire that option. Why should economic variables such as reward and effort alter the vigor of our movements? In theory, both the option that we choose and the vigor with which we move contribute to a measure of fitness in which the objective is to maximize rewards minus efforts, divided by time. To explore this idea, we engaged marmosets in a foraging task in which on each trial they decided whether to work by making saccades to visual targets, thus accumulating food, or to harvest by licking what they had earned. We varied the effort cost of harvest by moving the food tube with respect to the mouth. Theory predicted that the subjects should respond to the increased effort costs by choosing to work longer, stockpiling food before commencing harvest, but reduce their movement vigor to conserve energy. Indeed, in response to an increased effort cost of harvest, marmosets extended their work duration, but slowed their movements. These changes in decisions and movements coincided with changes in pupil size. As the effort cost of harvest declined, work duration decreased, the pupils dilated, and the vigor of licks and saccades increased. Thus, when acquisition of reward became effortful, the pupils constricted, the decisions exhibited delayed gratification, and the movements displayed reduced vigor. Significance statementOur results suggest that as the brainstem neuromodulatory circuits that control pupil size respond to effort costs, they alter computations in the brain regions that control decisions, encouraging work and delaying gratification, and the brain regions that control movements, reducing vigor and suppressing energy expenditure. This coordinated response suggests that decisions and actions are part of a single control policy that aims to maximize a variable relevant to fitness: the capture rate.

neuroscience↗

bioRxiv2021

Synchronous spiking of cerebellar Purkinje cells during control of movements

The information that the brain transmits from one region to another is often viewed through the lens of firing rates. However, if the output neurons could vary the timing of their spikes with respect to each other, then through synchronization they could highlight information that may be critical for control of behavior. In the cerebellum, the computations that are performed by the cerebellar cortex are conveyed to the nuclei via inhibition. Yet, synchronous activity entrains nucleus neurons, making them fire. Does the cerebellar cortex rely on spike synchrony within populations of Purkinje cells (P-cells) to convey information to the nucleus? We recorded from multiple P-cells while marmosets performed saccadic eye movements and organized them into populations that shared a complex spike response to error. Before movement onset, P-cells transmitted information via a rate code: the simple spike firing rates predicted the direction and velocity of the impending saccade. However, during the saccade, the spikes became temporally aligned within the population, signaling when to stop the movement. Thus, the cerebellar cortex relies on spike synchronization within a population of P-cells, not individual firing rates, to convey to the nucleus when to stop a movement.

neuroscience↗

bioRxiv2021

Mathematical Modeling Reveals Quantitative Properties of KEAP1-NRF2 Signaling

In response to oxidative and electrophilic stresses, cells launch an NRF2-mediated transcriptional antioxidant program. The activation of NRF2 depends on a redox sensor, KEAP1, which acts as an E3-ligase adaptor to promote the ubiquitination and degradation of NRF2. While a great deal has been learned about this redox duo, its quantitative signaling properties are still largely unexplored. In the present study, we examined these properties including response time, half-life, maximal activation, and response steepness (ultrasensitivity) of NRF2, through mathematical modeling. The models describe, with increasing complexity, the reversible binding of KEAP1 dimer and NRF2 via the ETGE and DLG motifs, NRF2 production, KEAP1-dependent and independent NRF2 degradation, and perturbations by different classes of NRF2 activators. Our simulations revealed that at the basal condition, NRF2 molecules are largely sequestered by KEAP1, with the KEAP1-NRF2 complex distributed comparably in either an ETGE-bound only (open) state or an ETGE and DLG dual-bound (closed) state, corresponding to the unlatched and latched configurations of the conceptual hinge-latch model. With two-step ETGE binding, the open and closed states operate in cycle mode at the basal condition and transition to equilibrium mode at stressed conditions. Class I-V, electrophilic NRF2 activators, which modify redox-sensing cysteine residues of KEAP1, shift the balance to a closed state that is unable to degrade NRF2 effectively. When total NRF2 accumulates to a level that nearly saturates existing KEAP1, ultrasensitive NRF2 activation, i.e., a steep rise in the free NRF2 level, can occur. The ultrasensitivity results from two simultaneous mechanisms, zero-order degradation mediated by DLG binding and protein sequestration (molecular titration) mediated by ETGE binding. These response characteristics of class I-V activators do not require disruption of DLG binding to unlatch the KEAP1-NRF2 complex. In comparison, class VI NRF2 activators, which directly compete with NRF2 for KEAP1 binding, cause a shift to the unlatched, open state of KEAP1-NRF2 complex and ultimately its complete dissociation (unhinged), resulting in a fast release of free NRF2 followed by stabilization. Although class VI activators may induce free NRF2 to higher levels, ultrasensitivity is lost due to lower free KEAP1 and thus its NRF2-sequestering effect. Stress-induced nuclear NRF2 accumulation is enhanced when basal nuclear NRF2 turnover constitutes a small load of NRF2 production. Our simulation further demonstrated that optimal abundances of cytosolic and nuclear KEAP1 exist to maximize ultrasensitivity. In summary, by simulating the dual role of KEAP1 in repressing NRF2, i.e., sequestration and promoting degradation, our mathematical modeling provides key novel quantitative insights into the signaling properties of the KEAP1-NRF2 system, which may help with the design of novel classes of NRF2 activators and inhibitors and understanding of the toxic actions of environmental oxidative stressors.

systems biology↗

bioRxiv2021

P-sort: an open-source software for cerebellar neurophysiology

Analysis of electrophysiological data from Purkinje cells (P-cells) of the cerebellum presents challenges for spike detection. Complex spikes have waveforms that vary significantly from one event to the next, raising the problem of misidentification. Even when complex spikes are detected correctly, the simple spikes may belong to a different P-cell, raising the danger of misattribution. Here, we analyzed data from over 300 P-cells in marmosets, macaques, and mice, using an open-source, semi-automated software called P-sort that addresses the spike identification and attribution problems. Like other sorting software, P-sort relies on nonlinear dimensionality reduction to cluster spikes. However, it also uses the statistical relationship between simple and complex spikes to merge seemingly disparate clusters, or split a single cluster. In comparison with expert manual curation, occasionally P-sort identified significantly more complex spikes, as well as prevented misattribution of clusters. Three existing automatic sorters performed less well, particularly for identification of complex spikes. To improve development of analysis tools for the cerebellum, we provide labeled data for 313 recording sessions, as well as statistical characteristics of waveforms and firing patterns.

neuroscience↗

bioRxiv2018

Molecular mechanisms controlling the multistage post-translational processing of endogenous Nrf1α/TCF11 proteins to yield distinct proteoforms within the coupled positive and negative feedback circuits

In an attempt to terminate the chaotic state of the literature on Nrf1/TCF11 with various confused molecular masses, we herein establish a generally acceptable criterion required for identification of its endogenous full-length proteins and derivative isoforms expressed differentially in distinct experimental cell lines. Further work has been focused on the molecular mechanisms that dictate the successive multistate post-translational modifications (i.e. glycosylation by OST, deglycosylation by NGLY, and ubiquitination by Hrd1) of this CNC-bZIP protein and its proteolytic processing to yield multiple isoforms. Several lines of experimental evidence have demonstrated that the nascent Nrf1/TCF11 polypeptide (non-glycosylated) is transiently translocated into the endoplasmic reticulum (ER), in which it becomes an inactive glycoprotein-A, and also folded in a proper topology within and around membranes. Thereafter, dynamic repositioning of the ER-resident domains in Nrf1 glycoprotein is driven by p97-fueled retrotranslocation into extra-ER compartments. Therein, glycoprotein of Nrf1 is allowed for digestion into a deglycoprotein-B and then its progressive proteolytic processing by cytosolic DDI-1/2 and proteasomes to yield distinct proteoforms (i.e. protein-C/D). The processing is accompanied by removal of a major N-terminal ~12.5-kDa polypeptide from Nrf1. Interestingly, our present study has further unraveled that coupled positive and negative feedback circuits exist between Nrf1 and its cognate target genes, including those encoding its regulators p97, Hrd1, DDI-1 and proteasomes. These key players are differentially or even oppositely involved in diverse cellular signalling responses to distinct extents of ER-derived proteotoxic and oxidative stresses induced by different concentrations of proteasomal inhibitors.

biochemistry↗