Multiple Parallel Pathways Research Articles

Automatization of theoretical kinetic data generation for tabulated TS models building - Part II: 1,2 to 1,5-H-shift reactions in alkyl radicals

Branched alkanes make up a significant fraction of sustainable alternative fuels. The accurate chemical kinetic modeling of the pyrolysis and oxidation of those fuels requires the availability of accurate kinetic data for branched structures. The accurate theoretical calculation of these data for substituted cyclic transition states (TS) is a challenge because of the large number of configurations that can be created, especially in the larger TS cycles. These configurations originate from all the possible combinations of the orientations of the substituents (axial or equatorial) on the cyclic TS and diastereomers in the reactants, which makes the rigorous counting of the multiple parallel pathways complicated. In this paper, the isomerisation reactions of branched alkyl radicals are theoretically investigated using the code presented in the Part I of this paper series. The 1,2 to 1,5-H-shift reactions are studied within the tabulated transition state models approach, where chain substituents are represented by methyl groups, and all combinations of substitutions in the model TSs are included in a table with their computed rate constants. The rate constants computed for hundreds of reactions with our code demonstrate the necessity to consider all the TS configurations in order to get accurate data. The presence of spectator substituents in the cyclic transition state is shown to have a major impact on the rate constants, increasing their values by more than a factor of 10 for some cases. The tabulated TS models (TMTS) method is validated by comparisons with available experimental data in the literature and is one of the only approach able to accurately capture the impact of branching on the rate constants of isomerizations for large alkyl radicals, which are still difficult to calculate with high-level on-the-fly ab initio calculations.

Tandem catalytic conversion of glucose and cellobiose to 5-ethoxymethylfurfural with record yields

The conversion of biomass-derived carbohydrates to 5-ethoxymethylfurfural (EMF) is a fascinating reaction with 100% carbon atom utilization. Although effective conversion of 5-hydroxymethylfurfural (HMF) and fructose to EMF have been achieved, the direct conversion of glucose only gave low EMF yields. Herein, we reveal that the combinations of common Lewis acid with Brønsted acid in ethanol universally catalyze rapid etherification of glucose to intractable ethyl glucoside (EGL), as impedes the further conversion toward the desired products. The synergy of large-pore tin phosphate (SnPO) bearing strong Lewis acidic sites with acidic ionic liquid 1-(4-sulfobutyl)-3-methylimidazolium chloride (BSO3HMIMCl) enable tandem catalytic conversion of glucose, cellobiose and starch to EMF with record yields (61.7%, 61.8% and 55.7%, respectively), far exceeding previous reports. This transformation probably occurs via multiple parallel pathways, where water molecules generated by dehydration cooperate with acid and Cl- to hydrolyze EGL back to glucose, thus forming a positive feedback on EMF production.

Moving object detection based on bioinspired background subtraction

Flying insects rely mainly upon visual motion to detect and track objects. There has been a lot of research on fly inspired algorithms for object detection, but few have been developed based on visual motion alone. One of the daunting difficulties is that the neural and circuit mechanisms underlying the foreground-background segmentation are still unclear. Our previous modeling study proposed that the lobula held parallel pathways with distinct directional selectivity, each of which could retinotopically discriminate figures moving in its own preferred direction based on relative motion cues. The previous model, however, did not address how the multiple parallel pathways gave the only detection output at their common downstream. Since the preferred directions of the pathways along either horizontal or vertical axis were opposite to each other, the background moving in the opposite direction to an object also activated the corresponding lobula pathway. Indiscriminate or ungated projection from all the pathways to their downstream would mix objects with the moving background, making the previous model fail with non-stationary background. Here, we extend the previous model by proposing that the background motion-dependent gating of individual lobula projections is the key to object detection. Large-field lobula plate tangential cells are hypothesized to perform the gating to realize bioinspired background subtraction. The model is shown to be capable of implementing a robust detection of moving objects in video sequences with either a moving camera that induces translational optic flow or a static camera. The model sheds light on the potential of the concise fly algorithm in real-world applications.

Critical steps in the assembly process of the bacterial 50S ribosomal subunit.

During assembly, ribosomal particles in bacteria fold according to energy landscapes comprised of multiple parallel pathways. Cryo-electron microscopy studies have identified a critical maturation step that occurs during the late assembly stages of the 50S subunit in Bacillus subtilis. This step acts as a point of convergency for all the parallel assembly pathways of the subunit,where an assembly intermediate accumulates in a 'locked' state, causing maturation to pause. Assembly factors then act on this critical step to 'unlock' the last maturation steps involving the functional sites. Without these factors, the 50S subunit fails to complete its assembly, causing cells to die due to a lack of functional ribosomes to synthesize proteins. In this review, we analyze these findings in B. subtilis and examine other cryo-EM studies that have visualized assembly intermediates in different bacterial species, to determine if convergency points in the ribosome assembly process are a common theme among bacteria. There are still gaps in our knowledge, as these methodologies have not yet been applied to diverse species. However, identifying and characterizing these convergency points can reveal how different bacterial species implement unique mechanisms to regulate critical steps in the ribosome assembly process.

Looming Angry Faces: Preliminary Evidence of Differential Electrophysiological Dynamics for Filtered Stimuli via Low and High Spatial Frequencies.

Looming motion interacts with threatening emotional cues in the initial stages of visual processing. However, the underlying neural networks are unclear. The current study investigated if the interactive effect of threat elicited by angry and looming faces is favoured by rapid, magnocellular neural pathways and if exogenous or endogenous attention influences such processing. Here, EEG/ERP techniques were used to explore the early ERP responses to moving emotional faces filtered for high spatial frequencies (HSF) and low spatial frequencies (LSF). Experiment 1 applied a passive-viewing paradigm, presenting filtered angry and neutral faces in static, approaching, or receding motions on a depth-cued background. In the second experiment, broadband faces (BSF) were included, and endogenous attention was directed to the expression of faces. Our main results showed that regardless of attentional control, P1 was enhanced by BSF angry faces, but neither HSF nor LSF faces drove the effect of facial expressions. Such findings indicate that looming motion and threatening expressions are integrated rapidly at the P1 level but that this processing relies neither on LSF nor on HSF information in isolation. The N170 was enhanced for BSF angry faces regardless of attention but was enhanced for LSF angry faces during passive viewing. These results suggest the involvement of a neural pathway reliant on LSF information at the N170 level. Taken together with previous reports from the literature, this may indicate the involvement of multiple parallel neural pathways during early visual processing of approaching emotional faces.

Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice

Brain communication, defined as information transmission through white-matter connections, is at the foundation of the brain’s computational capacities that subtend almost all aspects of behavior: from sensory perception shared across mammalian species, to complex cognitive functions in humans. How did communication strategies in macroscale brain networks adapt across evolution to accomplish increasingly complex functions? By applying a graph- and information-theory approach to assess information-related pathways in male mouse, macaque and human brains, we show a brain communication gap between selective information transmission in non-human mammals, where brain regions share information through single polysynaptic pathways, and parallel information transmission in humans, where regions share information through multiple parallel pathways. In humans, parallel transmission acts as a major connector between unimodal and transmodal systems. The layout of information-related pathways is unique to individuals across different mammalian species, pointing at the individual-level specificity of information routing architecture. Our work provides evidence that different communication patterns are tied to the evolution of mammalian brain networks.

Multi-scale time series analysis using TT-ConvLSTM technique for bearing remaining useful life prediction

This study advocates the utilization of a parallel neural network (PNN) architecture for the estimation of remaining useful life (RUL) of rolling element bearings. Conventional machine learning methods have often fallen short in processing machinery sensor data efficiently and accurately, given its vast nature and the temporal dynamics of component health conditions. To address this limitation, a robust PNN architecture is proposed which incorporates multiple parallel processing pathways. These pathways are equipped with diverse input neurons, capturing data from mechanical component condition sensors. The output neuron then efficiently predicts the RUL, capturing the degradation stages throughout the component's lifespan. The PNN structure provides better accuracy and computation time by efficiently handling huge amounts of data simultaneously and integrating both spatial and temporal information present. Additionally, time-transformer and recurrent neural networks (RNNs) are used to handle complex time series data. Improvement methodologies, such as positional encoding combined with a multi-headed self-attention mechanism and the convolutional long short-term memory (ConvLSTM) neural network, are employed. These methodologies adeptly handle spatiotemporal dependencies inherent in multidimensional features extracted across the time domain, frequency domain, and time–frequency domain, thereby considerably boosting the model's efficacy. Two case studies are conducted on XJTU-SY rolling element bearing dataset and FEMTO bearing dataset to validate and display the generalization capabilities of the proposed methodology, where PNN performed exceptionally in terms of accuracy and efficiency. It is concluded that with a novel implementation of variational stride temporal window strategy and utilizing the full capabilities of a PNN, the RUL of bearings can be predicted very accurately. The algorithm strategy is very robust and can be applied to other machine components as well. Subsequently, the code for the algorithm will be open-sourced.

The Role of CLE Peptides in the Suppression of Mycorrhizal Colonization of Tomato.

Symbioses with beneficial microbes are widespread in plants, but these relationships must balance the energy invested by the plants with the nutrients acquired. Symbiosis with arbuscular mycorrhizal (AM) fungi occurs throughout land plants, but our understanding of the genes and signals that regulate colonization levels is limited, especially in non-legumes. Here, we demonstrate that in tomato, two CLV3/EMBRYO-SURROUNDING REGION (CLE) peptides, SlCLE10 and SlCLE11, act to suppress AM colonization of roots. Mutant studies and overexpression via hairy transformation indicate that SlCLE11 acts locally in the root to limit AM colonization. Indeed, SlCLE11 expression is strongly induced in AM-colonized roots, but SlCLE11 is not required for phosphate suppression of AM colonization. SlCLE11 requires the FIN gene that encodes an enzyme required for CLE peptide arabinosylation to suppress mycorrhizal colonization. However, SlCLE11 suppression of AM does not require two CLE receptors with roles in regulating AM colonization, SlFAB (CLAVATA1 ortholog) or SlCLV2. Indeed, multiple parallel pathways appear to suppress mycorrhizal colonization in tomato, as double mutant studies indicate that SlCLV2 and FIN have an additive influence on mycorrhizal colonization. SlCLE10 appears to play a more minor or redundant role, as cle10 mutants did not influence intraradical AM colonization. However, the fact that cle10 mutants had an elevated number of hyphopodia and that ectopic overexpression of SlCLE10 did suppress mycorrhizal colonization suggests that SlCLE10 may also play a role in suppressing AM colonization. Our findings show that CLE peptides regulate AM colonization in tomato and at least SlCLE11 likely requires arabinosylation for activity.

Current and future advances in practice: a practical approach to the diagnosis and management of primary central nervous system vasculitis

Abstract Primary CNS vasculitis (CNSV) is a rare, idiopathic autoimmune disease that, if untreated, can cause significant morbidity and mortality. It is a challenging diagnosis due to multiple mimics that can be difficult to differentiate, given that the CNS is an immunologically privileged and structurally isolated space. As such, diagnosis requires comprehensive multimodal investigations. Usually, a brain biopsy is required to confirm the diagnosis. Treatment of CNSV involves aggressive immunosuppression, but relapses and morbidity remain common. This expert review provides the reader with a deeper understanding of presentations of CNSV and the multiple parallel diagnostic pathways that are required to diagnose CNSV (and recognize its mimics), highlights the important knowledge gaps that exist in the disease and also highlights how we might be able to care for these patients better in the future.

Cultivation of marine bacteria of the SAR202 clade

Bacteria of the SAR202 clade, within the phylum Chloroflexota, are ubiquitously distributed in the ocean but have not yet been cultivated in the lab. It has been proposed that ancient expansions of catabolic enzyme paralogs broadened the spectrum of organic compounds that SAR202 bacteria could oxidize, leading to transformations of the Earth’s carbon cycle. Here, we report the successful cultivation of SAR202 bacteria from surface seawater using dilution-to-extinction culturing. The growth of these strains is very slow (0.18–0.24 day−1) and is inhibited by exposure to light. The genomes, of ca. 3.08 Mbp, encode archaella (archaeal motility structures) and multiple sets of enzyme paralogs, including 80 genes coding for enolase superfamily enzymes and 44 genes encoding NAD(P)-dependent dehydrogenases. We propose that these enzyme paralogs participate in multiple parallel pathways for non-phosphorylative catabolism of sugars and sugar acids. Indeed, we demonstrate that SAR202 strains can utilize several substrates that are metabolized through the predicted pathways, such as sugars ʟ-fucose and ʟ-rhamnose, as well as their lactone and acid forms.

A sensory-motor decoder that transforms neural responses in extrastriate area MT into smooth pursuit eye movements.

Visual motion drives smooth pursuit eye movements through a sensory-motor decoder that uses multiple parallel neural pathways to transform the population response in extrastriate area MT into movement. We evaluated the decoder by challenging pursuit in monkeys with reduced motion reliability created by reducing coherence of motion in patches of dots. Our strategy was to determine how reduced dot coherence changes the population response in MT. We then predicted the properties of a decoder that transforms the MT population response into dot coherence-induced deficits in the initiation of pursuit and steady-state tracking. During pursuit initiation, decreased dot coherence reduces MT population response amplitude without changing the preferred speed at its peak. The successful decoder reproduces the measured eye movements by multiplication of 1) the estimate of target speed from the peak of the population response with 2) visual-motor gain based on the amplitude of the population response. During steady-state tracking, the decoder that worked for pursuit initiation failed to reproduce the paradox that steady-state eye speeds do not accelerate to the target speed despite persistent image motion. It predicted eye acceleration to target speed even when monkeys' eye speeds were steady at well below the target speed. To account for the effect of dot coherence on steady-state eye speed, we postulate that the decoder uses sensory-motor gain to modulate the eye velocity positive feedback that normally sustains perfect steady-state tracking. Then, poor steady-state tracking persists because of balance between eye deceleration caused by low positive feedback gain and acceleration driven by MT.NEW & NOTEWORTHY By challenging a sensory-motor system with degraded sensory stimuli, we reveal how the sensory-motor decoder transforms the population response in extrastriate area MT into commands for the initiation and steady-state behavior of smooth pursuit eye movements. Conclusions are based on measuring population responses in MT for multiple target speeds and different levels of motion reliability and evaluating a decoder with a biologically motivated architecture to determine the decoder properties that create the measured eye movements.

Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape.

The integrated stress response (ISR) is a conserved signaling network that detects aberrations and computes cellular responses. Dissecting these computations has been difficult because physical and chemical inducers of stress activate multiple parallel pathways. To overcome this challenge, we engineered a photo-switchable control over the ISR sensor kinase PKR (opto-PKR), enabling virtual, on-target activation. Using light to control opto-PKR dynamics, we traced information flow through the transcriptome and for key downstream ISR effectors. Our analyses revealed a biphasic, proportional transcriptional response with two dynamic modes, transient and gradual, that correspond to adaptive and terminal outcomes. We then constructed an ordinary differential equation (ODE) model of the ISR, which demonstrated the dependence of future stress responses on past stress. Finally, we tested our model using high-throughput light-delivery to map the stress memory landscape. Our results demonstrate that cells encode information in stress levels, durations, and the timing between encounters. A record of this paper's transparent peer review process is included in the supplemental information.

Immune Regulation by Cytosolic DNA Sensors in the Tumor Microenvironment

cGAS and AIM2 are CDSs that are activated in the presence of cytosolic dsDNA and are expressed in various cell types, including immune and tumor cells. The recognition of tumor-derived dsDNA by CDSs in the cytosol of tumor-infiltrating dendritic cells (TIDCs) activates the innate and acquired immunity, thereby enhancing anti-tumor immune responses. STING is the downstream signaling effector of cGAS that induces type I interferon (IFN) signaling. Owing to their ability to activate TIDCs, STING agonists have been intratumorally injected in several clinical trials to enhance the anti-tumor immune response elicited by immune checkpoint antibodies. However, they have shown minimal effect, suggesting the importance of optimizing the dose and route of administration for STING agonists and deciphering other immune pathways that contribute to anti-tumor immune responses. Recent studies have revealed that AIM2 activity induces pro-tumor growth through multiple parallel pathways, including inhibition of STING-type I IFN signaling. Thus, AIM2 could be a potential molecular target for cancer immunotherapies. This review summarizes the current research on the roles of cGAS, STING, and AIM2 in immune cells and tumor cells in the tumor microenvironment and discusses the future prospects of anti-tumor treatment approaches based on these molecules.

Hydrogenation of N-ethylcarbazole with Hydrogen-Methane mixtures for hydrogen storage

Hydrogen is a clean secondary energy as well as an efficient energy carrier, but the low density and small molecular hydrogen result in high economic and energetic efforts to store and transport hydrogen. In addition, the hydrogen produced by the current industry is usually impure and requires gas separation, which consequently increases the cost of hydrogen. A promising hydrogen storage technology using liquid organic hydrogen carrier (LOHC) can permit the safe storage of hydrogen for long time through the reversible chemical reaction in the presence of catalyst. The selective hydrogenation reaction of N-ethylcarbazole (NEC), an attractive LOHC compound due to the low dehydrogenation temperature of perhydro-N-ethylcarbazole (12H-NEC), with hydrogen was conducted in this study to achieve both separation and hydrogen storage for hydrogen-rich raw gas from natural gas steam reforming. First, hydrogenation experiments of molten NEC under a pure hydrogen atmosphere were carried out to determine the suitable hydrogenation conditions and reaction pathways. Then, the effect of methane addition on NEC hydrogenation was analyzed. Results indicate that there are multiple parallel pathways in the hydrogenation of NEC. The reaction rate from 8H-NEC to 12H-NEC step is extremely slow and this step is unstable at 453 K. The optimal hydrogenation temperature of NEC is 443 K and the apparent activation energy is 67.6 kJ·mol−1. The addition of methane reduces the initial reaction rate from 0.877 gH2·(gRu·min)−1 to 0.640 gH2·(gRu·min)−1 but increases the maximum degree of hydrogenation (DoH) from 0.870 to 0.909.

Immune network operations in COVID-19

The immune system, whose nature lies in being a complex network of interactions, lends itself well to being represented and studied using graph theory. However, it should be noted that although the formalization of models of the immune system is relatively recent, the medical use of its signaling network structure has been carried out empirically for centuries in vaccinology, immunopathology, and clinical immunology, as evidenced by the development of effective vaccines, the management of transplant rejection, the management of allergies, and the treatment of certain types of cancer and autoimmune diseases. A network optimization analogy is proposed through the employment of the system dynamic formalism of causal loop diagrams (CLDs), where current network operations (also known as NetOps) in information technology (IT), are interpreted as immune NetOps in coronavirus disease 2019 (COVID-19) treatment. Traffic shaping corresponds to signaling pathway modulation by immunosuppressors. Data caching corresponds to the activation of innate immunity by application of Bacillus Calmette-Guerin (BCG) and other vaccines. Data compression corresponds with the activation of adaptative immune response by vaccination with the actual approved COVID-19 vaccines. Buffer tuning corresponds with concurrent activation of innate and adaptative or specialized immune cells and antibodies that attack and destroy foreign invaders by trained immunity-based vaccines to develop. The present study delineates some experimental extensions and future developments. Given the complex communication architecture of signal transduction in the immune system, it is apparent that multiple parallel pathways influencing and regulating each other are not the exception but the norm. Thus, the transition from empirical immune NetOps to analytical immune NetOps is a goal for the near future in biomedicine.

Neural structure of a sensory decoder for motor control

The transformation of sensory input to motor output is often conceived as a decoder operating on neural representations. We seek a mechanistic understanding of sensory decoding by mimicking neural circuitry in the decoder’s design. The results of a simple experiment shape our approach. Changing the size of a target for smooth pursuit eye movements changes the relationship between the variance and mean of the evoked behavior in a way that contradicts the regime of “signal-dependent noise” and defies traditional decoding approaches. A theoretical analysis leads us to propose a circuit for pursuit that includes multiple parallel pathways and multiple sources of variation. Behavioral and neural responses with biomimetic statistics emerge from a biologically-motivated circuit model with noise in the pathway that is dedicated to flexibly adjusting the strength of visual-motor transmission. Our results demonstrate the power of re-imagining decoding as processing through the parallel pathways of neural systems.

VIP152, a Selective CDK9 Inhibitor, Induces Complete Regression in a High-Grade B-Cell Lymphoma (HGBL) Model and Depletion of Short-Lived Oncogenic Driver Transcripts, MYC and MCL1, with a Once Weekly Schedule

VIP152, a Selective CDK9 Inhibitor, Induces Complete Regression in a High-Grade B-Cell Lymphoma (HGBL) Model and Depletion of Short-Lived Oncogenic Driver Transcripts, MYC and MCL1, with a Once Weekly Schedule

Inhibition of p62-ZZ Domain-Mediated Signaling Overcomes Bortezomib Resistance in Multiple Myeloma Cells Independent of Their p53 Status

Multiple myeloma (MM) cells depend on autophagy as well as proteasome activity for their survival. In MM cells, autophagy is essential to reduce the extraordinary ubiquitinated protein system stress derived from high levels of immunoglobulin synthesis. Thus, proteasome inhibitors (PIs) decrease tumor burden in the majority of MM patients but eventually a PI resistant MM clone(s) arises. Bortezomib (BTZ) resistance has been reported to correlate with p53 status of MM cells. Previous studies showed that MM patients harboring p53 genetic abnormalities are commonly resistant to standard therapies, increasing the need for new druggable targets.A possible mechanism of BTZ resistance involves the cargo receptor for ubiquitin-mediated autophagy SQSTM1/p62, that enhances MM cells survival by increasing their autophagic flux. We found that MM cells with wild type p53, are more sensitive to PI treatment, while MM cells harbouring mutant p53 or lacking p53 are more resistant to BTZ-mediated cytotoxicity. BTZ treatment induced a modest level of apoptosis in MM1.S cells (p53 wild type) at high doses (>5nM) by triggering the cleavage of caspase 3 and PARP-1. As expected BTZ treatment induced a significant compensatory increase in SQSTM1/p62 at the mRNA and protein levels in these cells. Conversely, BTZ treatment of p53 mutant MM cells failed to induce apoptosis, exhibiting only a mild effect on viability. This occurred in spite of a similar increase in SQSTM1/p62 expression as seen in MM.1S cells.To determine the role of p62 in the BTZ resistance of p53 mutant MM cells, we tested a novel small-molecule p62-ZZ domain inhibitor, XRK3F2 we recently identified. XRK3F2 treatment of mice with established MM, dramatically increased bone formation in MM-bearing bones, although it did not affect tumour burden in vivo . In vitro studies showed that high concentrations (10μM) of XRK3F2 were required to decrease the viability of primary and MM cell lines and induce a time-dependent activation of caspases 3, 7 and 9. XRK3F2 treatment dose-dependently increased levels of the lipidated form of LC3, LC3II, suggesting activation of pro-survival autophagy. Surprisingly, the expression levels of SQSTM1/p62 were either unchanged or increased following XRK3F2 treatment despite the increase of autophagosome formation, indicating that XRK3F2 inhibited the autophagic flux in MM cells. Defective autophagy occurs in tumor cells and leads to accumulation of p62, further promoting tumorigenesis by altering NFκB regulation and gene expression. We found that XRK3F2 treatment also significantly inhibited TNFα-induced NFκB activation, by inhibiting p65 nuclear translocation. These data suggested that XRK3F2 may sensitize MM cells to BTZ-induced cytotoxicity and possibly overcome BTZ resistance.To test this hypothesis, human MM cell lines MM1.S (p53 wild type), U266 (p53 mutant) and KMS-11 (p53 null) were exposed to different doses of a BTZ-XRK3F2 combination comprised of varying concentrations of BTZ combined with XRK3F2 at 5μM. We found treatment with the BTZ-XRK3F2 combination significantly reduced cell viability compared with either drug alone at the same doses, and increased MM cells sensitivity to BTZ, independent of their p53 status (IC50 BTZ vs BTZ-XRK3F2 for MM1.S 3 vs 1.5nM of BTZ; for U266 10 vs 1.7nM of BTZ; for KMS-11 7 vs 1nM BTZ).Mechanistic studies revealed that in p53 wild type MM cells, the combination (Bortezomib 3nM - XRK3F2 5 μM) significantly increased annexin V positive cells after 6h of treatment. This was followed by a reduction in expression of the anti-apoptotic Bcl-2 protein (mRNA and protein levels) and extensive activation of caspase 3 and cleaved PARP1 after 24h, demonstrating apoptosis-mediated cell death. Importantly, p62 expression was significantly reduced by the BTZ-XRK3F2 combination. The decrease in p62 level may result as a consequence of its caspase 3-dependent degradation. In p53 mutant cells, the combination significantly induced PARP1 cleavage, although only mildly increased caspase 3 activation. These results imply that the BTZ-XRK3F2 combination activates multiple parallel death pathways to enhance both apoptosis and necrosis.Taken together, these data suggest that p62-ZZ antagonists, alone or in combination with PIs, may have both anti-tumor and bone anabolic effects, and may overcome PI resistance in MM cells, making p62 an attractive target for the treatment of MM. DisclosuresXie:Oxis Biotech: Consultancy. Roodman:Amgen Denosumab Trial: Membership on an entity's Board of Directors or advisory committees.

Transcriptional repression by FEZF2 restricts alternative identities of cortical projection neurons.

SUMMARYProjection neuron subtype identities in the cerebral cortex are established by expressing pan-cortical and subtype-specific effector genes that execute terminal differentiation programs bestowing neurons with a glutamatergic neuron phenotype and subtype-specific morphology, physiology, and axonal projections. Whether pan-cortical glutamatergic and subtype-specific characteristics are regulated by the same genes or controlled by distinct programs remains largely unknown. Here, we show that FEZF2 functions as a transcriptional repressor, and it regulates subtype-specific identities of both corticothalamic and subcerebral neurons by selectively repressing expression of genes inappropriate for each neuronal subtype. We report that TLE4, specifically expressed in layer 6 corticothalamic neurons, is recruited by FEZF2 to inhibit layer 5 subcerebral neuronal genes. Together with previous studies, our results indicate that a cortical glutamatergic identity is specified by multiple parallel pathways active in progenitor cells, whereas projection neuron subtype-specific identity is achieved through selectively repressing genes associated with alternate identities in differentiating neurons.

Abstract PO-112: miR-149-3p inhibits the glioma stem cell phenotype and re-sensitizes therapy-resistant GBM cells

Abstract Intra-tumor heterogeneity presents one of the biggest challenges in the development of solid cancer therapeutics. Cells within the same tumor display distinct phenotypes that affect their growth rate, survival, migration, therapy-response, and tumor-propagating capacity. We now understand cancer stem cells (CSCs) play critical roles in driving intra-tumor cellular heterogeneity by establishing dynamic cellular transitions within tumors. GBM are highly aggressive tumors that display a poorly differentiated cell phenotype characterized by high expression of genes enriched in embryonic stem cells (ESCs). Lineage-tracing experiments show that stem-like cells are responsible for GBM re-growth after therapy and this process is in part mediated by known drivers of stemness (e.g. Sox2). There is a strong correlation between the expression of stem cell drivers and markers and tumor recurrence in multiple cancers, including GBM. We and others have established that reprogramming transcription factors Oct4 and Sox2 are important drivers of the stem-cell, tumor and therapy-resistant phenotype in GBM. We present data showing that GBM cells expressing transgenic Oct4 and Sox2 are more resistant to ionizing radiation (IR) treatment and exposing GBM neurospheres to temozolomide (TMZ) and IR gives rise to a cell sub-set with higher gene expression levels of Oct4 and Sox2 compared to untreated cells. The clinical and potential therapeutic relevance of this phenotype is supported by multi-dimensional transcriptome analyses that identifies a group of genes induced by Oct4 and Sox2 enriched in recurrent GBM. The promiscuous quality of miRNAs is an underexploited characteristic that could allow the targeting of multiple parallel oncogenic pathways using a single agent, enhancing therapeutic efficacy and reducing chances of tumor recurrence. To explore this untapped potential, we predicted miRNAs likely to target the transcripts induced by Oct4/Sox2 in recurrent GBM and identified miR-149-3p as a high-priority candidate. Importantly, transient expression of miR-149-3p simultaneously repressed these transcripts in GSCs as measured by qRT-PCR, concurrent with a decrease in the capacity of both parental and GSCs expressing transgenic Oct4/Sox2 to self-renew as spheres, a biomarker of cell stemness and tumor-propagating potential. Additionally, transient expression of miR-149-3p also re-sensitized therapy-resistant GBM neurospheres to TMZ treatment. These results show this resistant phenotype is reversible and support our hypothesis that GSC-driving mechanisms induce a subset of genes that give rise to therapy-resistant GBM cells and suggests that miR-149-3p can be developed as a therapeutic for recurrent GBM. Citation Format: Hernando Lopez-Bertoni. miR-149-3p inhibits the glioma stem cell phenotype and re-sensitizes therapy-resistant GBM cells [abstract]. In: Proceedings of the AACR Virtual Special Conference on Tumor Heterogeneity: From Single Cells to Clinical Impact; 2020 Sep 17-18. Philadelphia (PA): AACR; Cancer Res 2020;80(21 Suppl):Abstract nr PO-112.