Biology subjects

Rana, S.

Publications and source records attributed to Rana, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Targeting PRMT5 Across Cancers and AI-Driven Discovery of Candidate Compounds

Protein arginine methyltransferase 5 (PRMT5) is a promising anticancer target, yet existing inhibitors shown limited clinical efficacy. Here, we paired multi-omics pan-cancer profiling with a machine learning virtual screening pipeline. Bioinformatics analyses with TIMER3, GEPIA2, UALCAN/CPTAC, the Human Protein Atlas, cBioPortal, STRING and Enrichr revealed widespread of PRMT5 mRNA expression, protein abundance, survival, genetic alteration, immune infiltration and co-expression networks with tumor-specific prognostic impact in GBM, LGG and KIRC. A deep neural network screened about 1.5 million PubChem compounds and deep neural network reached a ROC-AUC = 0.9857 and prioritized three candidates, CID 44345182, CID 2794188 and CID 44345334. Subsequent molecular docking against PRMT5 (PDB ID: 4X61), ADMET filtering and toxicity prediction, and 100 ns molecular dynamics (MD) simulations identified CID 44345182 as the potential hit, similar the docking scores of -9.8 compared with -9.2 kcal/mol for the reference ligand in binding affinity and trajectory stability. These findings clarify the context-dependent roles of PRMT5 and further experiment validations are needed to establish CID 44345182 as a promising candidate.

bioinformatics↗

bioRxiv2026

Multiple roads to swarming: divergent molecular machineries drive the repeated evolution of locusts

Locust swarming, one of nature's most spectacular examples of a repeated emergent polyphenism, has long been suspected to rely on conserved "swarming genes" or shared genomic features. By applying a model-clade approach comparing six species that vary in their degrees of plasticity and collective behavior, we show that the evolution of swarming locusts is not driven by shared genomic features or a universal set of swarming genes. In contrast, we find that this phenomenon evolved through flexible regulatory architectures, in which the degree of behavioral plasticity directly correlates with the total scale of density-responsive gene expression. While different locust species recruit largely non-overlapping gene sets to achieve the same syndrome, these divergent molecular machineries converge on similar higher-level biological functions. Thus, multiple molecular pathways achieve locust swarming, challenging the preconceived notion about the genetic prerequisites to transition from solitary to collective states. Further, we establish that a complex syndrome such as locust swarming emerges through modular regulatory systems that can be amplified, modified, or attenuated across the tree of life.

evolutionary biology↗

bioRxiv2026

Nucleic acid 3D structure search and alignment with GTalign

SummaryStructural comparison of nucleic acids, particularly RNA, is critical for understanding evolutionary and functional relationships beyond sequence similarity, yet efficient tools for large-scale 3D structure search and alignment remain scarce. We extend GTalign to support nucleic acid structures, enabling unified, high-performance alignment across macromolecules. Benchmarking on a diverse RNA dataset demonstrates improved alignment accuracy and substantially lower runtimes compared to existing methods. GTalign thus provides a scalable solution for nucleic acid structure comparison and database search. Availability and Implementation: https://github.com/minmarg/gtalign_alpha

bioinformatics↗

bioRxiv2026

Characterization of a novel soluble melanin secreted by Gliomastix polychroma

Melanin is a heterogeneous, amorphous biopolymer widely distributed in biological systems, yet most canonical forms are intrinsically insoluble. Soluble melanins are rare and remain poorly characterized, with pyomelanin and peptidomelanin representing the best-described fungal examples. Here, we report the isolation and characterization of a distinct, polyphyletic class of soluble melanin that we term `colloidal melanin'. This class of polymers was isolated from four different species of Ascomycetous fungi occupying varied environmental niches. Colloidal melanin was found to be phenolic and nitrogenous, with a low amino acid content. The polymers form particles with median diameters ranging from 79 to 127 nm, suggesting that small particle size may contribute to aqueous solubility via colloidal dispersion. Using chemical inhibition of melanin biosynthesis together with whole-genome sequencing, we show that colloidal melanin can be produced through multiple distinct biochemical pathways. Further, genes identified as involved in melanin biosynthesis across species do not share any detectable common ancestry, consistent with convergent evolution. Together, these findings identify a distinct class of soluble melanin that does not conform to existing soluble melanin classifications.

biochemistry↗

bioRxiv2025

Oncogenic RAS activity is linked to immune priming and adenosine-driven immune evasion in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is a leading cause of cancer death worldwide, with RAS signalling as a key oncogenic driver. Although KRAS mutations have been linked to immune evasion in preclinical models, the relationship between RAS activity and tumour immunity or response to immunotherapy in patients remains unclear. Here, we applied our previously validated RAS84 transcriptional signature to stratify LUAD patient cohorts and dissect the immune landscape associated with RAS signalling. We report that tumours with elevated RAS activity exhibited features of immune priming, including increased immune infiltration, interferon response, and immune checkpoint gene expression, and showed improved progression-free survival in an independent cohort of patients treated with anti-PD-1. Yet, in both LUAD tumours and cell lines, RAS activity also correlated with elevated immunosuppressive interstitial adenosine mediated by transcriptional regulation of several components of the adenosinergic pathway. In orthotopic pre-clinical models of high-RAS activity lung tumours, blocking adenosine signalling delayed tumour growth and improved response to anti-PD-1 and KRAS inhibition, with a significant effect on innate immunity. This study reveals a dual role for RAS signalling in tumour progression, fostering a pro-immunogenic environment whilst simultaneously dampening anti-tumoural immunity via mechanisms including extracellular adenosine accumulation. Stratifying patients based on RAS transcriptional activity, rather than genetic alterations alone, could inform immunotherapy strategies and improve clinical outcomes.

cancer biology↗

bioRxiv2025

Biofuel-driven Adaptable n-type Supramolecular Wires: Mimicking Conducting Microbial Nano-filaments

We report the biofuel-driven self-assembly of a benzimidazole-pyridine platinum (II) complex into supramolecular nanowires. Phosphate promotes Pt{middle dot}{middle dot}{middle dot}Pt metallophilic stacking, whereas the pristine complex forms nanosheets dominated by {pi}-{pi} interactions. By varying phosphate denticity (adenosine/guanosine mono-, di-, and triphosphates), we tune the extent of Pt{middle dot}{middle dot}{middle dot}Pt interactions and the resulting electrical conductance of the nanowires, measured on graphene using a custom EGaIn setup. Triphosphate-templated nanowires exhibit nearly four orders of magnitude higher conductance than non-templated nanosheets. Thermopower measurements reveal a negative Seebeck coefficient, indicating LUMO-mediated electron transport and rare n-type behavior in these supramolecular assemblies. Temperature-dependent measurements show a transition from tunneling (non-templated nanosheets) to thermally activated hopping (triphosphate templated nanowires). The system is recyclable, apyrase hydrolysis disrupts the nanowires, and re-addition of phosphate restores assembly, enabling reversible conductance switching over multiple cycles. This study demonstrates a fuel-responsive, adaptive supramolecular electronic material, highlighting how controlled Pt{middle dot}{middle dot}{middle dot}Pt interactions can be exploited to program charge transport in soft, bioinspired electronic systems.

bioengineering↗

bioRxiv2025

Leveraging death of drug-sensitive cancer cells to promote immune-mediated bystander killing of subclones of drug-resistant tumor cells

The response of lung cancer patients to drugs targeting the G12C mutant form of KRAS is limited by the development of resistance through multiple mechanisms. In order to achieve lasting benefit with these therapies, effective strategies for tackling the evolution of drug resistance are required. We have developed a preclinical model system to mimic the development of resistance to KRAS G12Ci inhibitors (G12Ci) such as adagrasib and RMC-4998. Treatment of tumours containing a minor subpopulation of resistant cancer cells with G12Ci leads to their rapid outgrowth to replace the drug-sensitive cells within a few weeks. However, when combined with therapies that, at least in part, target the immune response, such as SHP2 inhibitors or PD-1 blockade, drug-resistant cells can be eliminated, even by drug combinations that do not impact their growth in the absence of drug-sensitive cells. This bystander killing of drug-resistant cells when drug-sensitive cells are targeted is dependent on an intact adaptive immune system. Mechanistically, these combination therapies lead to profound remodelling of the tumour immune microenvironment, with influx of T cells recognising a tumour associated antigen shared between drug-resistant and drug-sensitive cancer cells. Promotion of immune-mediated bystander killing of drug-resistant cells may provide a paradigm for tackling the problem of drug resistance in cancer more broadly.

cancer biology↗

bioRxiv2025

An improved deep learning model for immunogenic B epitope prediction

The recognition of B epitopes by B cells of the immune system initiates an immune response that leads to the production of antibodies to combat bacterial and viral infections. Computational methods for predicting the epitopes on antigens have shown promising results in the development of subunit vaccines and therapeutics. Recently, the use of protein language models (pLMs) for epitope prediction has led to a substantial increase in prediction accuracy. However, further improvements in precision are necessary for practical applications. Here, we develop and evaluate a series of models using different combinations of features and feature fusion techniques on a curated independent test set. Our results show that the models that use protein embeddings along with structural features are better at predicting both linear and conformational B epitopes when compared to a baseline model that uses only protein embeddings as features. Additionally, we show that the embeddings of ESM-2, an evolutionary scale model, likely capture T-B reciprocity.

bioinformatics↗

bioRxiv2025

Loss of function of chromatin remodeler OsCLSY4 leads to RdDM-mediated mis-expression of endosperm-specific genes affecting grain qualities

RNA-directed DNA methylation (RdDM) sequence-specifically targets transposable elements (TEs) and repeats in plants, often in a tissue-specific manner. In triploid endosperm tissue, RdDM also acts as a parental dosage regulator, mediating spatio-temporal expression of genes required for its development. It is unclear how RdDM is initiated and established in endosperm. Rice endosperm-specific imprinted chromatin remodeler OsCLSY3 recruits RNA polymerase IV to specific genomic sites for silencing and optimal gene expression. Here we show that, in addition to OsCLSY3, ubiquitously expressed OsCLSY4 is also crucial for proper reproductive growth and endosperm development. Loss of function of OsCLSY4 led to reproductive and nutrient-filling defects in endosperm. Using genetic and molecular analysis, we show that OsCLSY3 and OsCLSY4 play both overlapping and unique silencing roles in rice endosperm by targeting specific and common TEs, repeats and genic regions. These results indicate the importance of optimal expression of two OsCLSYs in regulating endosperm-specific gene expression, genomic imprinting and suppression of specific TEs. Results presented here provide new insights into the functions of rice CLSYs as upstream RdDM regulators in rice endosperm development, and we propose that functions of their homologs might be conserved across monocots.

plant biology↗

bioRxiv2025

Identification of 4-Amino-2-Nitrophenol as a novel inducer of phenotypic antibiotic resistance in Escherichia coli: roles of Lon protease and its substrate MarA

In prokaryotes, the energy-dependent protein degradation is controlled primarily by two ATP-dependent proteases, Lon and Clp. This study investigates the roles of the Lon protease in the metabolism of 2,4-dinitrophenol (2,4-DNP), a toxic industrial compound, in Escherichia coli (E. coli). During the study, an observation was made that the absence of Lon protease resulted in an enhanced conversion of yellow coloured 2,4-DNP to a reddish-brown product. This study aims to characterise the compound observed in the media with wild type (WT) and {Delta}lon strains, understand the mechanisms of 2,4-DNP conversion and decipher the roles of Lon protease in the conversion of 2,4-DNP. UV-visible and LC-MS analyses revealed differences in the conversion products between the WT and {Delta}lon strains. One of the substrates of Lon protease is MarA, a transcription factor. Growth studies with different mutants and trans-complemented strains demonstrated MarA-dependent conversion. The bathochromic shift of spectral peaks suggested a reduction process and possible involvement of nitroreductase enzymes. Indeed, the expression of two nitroreductases, nfsA and nfsB, increased with 2,4-DNP and was dependent on MarA. Importantly, the production of the reddish-brown product was lower in strains lacking nfsA or nfsB. Finally, LC-MS analysis identified one of the conversion products of 2,4-DNP to be 4-Amino-2-nitrophenol (4,2-ANP). Dose studies with purified 4,2-ANP demonstrated that it did not lower the growth of E. coli (unlike 2,4-DNP) but induced phenotypic antibiotic resistance (like 2,4-DNP). This study contributes to our understanding of biological treatment of nitroaromatics and may offer insights into environmental pollution mitigation strategies. ImportanceThis study identifies the roles of Lon protease and its substrate MarA in inducing nitroreductases, NfsA and NfsB, in reducing toxic 2,4-DNP to less toxic 4,2-ANP, a novel inducer of phenotypic antibiotic resistance. This study contributes to understanding the biological treatment of nitroaromatics, offering insights into environmental pollution mitigation strategies and the development of efficient bioremediation techniques.

microbiology↗

bioRxiv2024

Covalent inhibitors of the RAS binding domain of PI3Ka impair tumor growth driven by RAS and HER2

Genetic disruption of the RAS binding domain (RBD) of PI 3-kinase (PI3K) prevents the growth of mutant RAS driven tumors in mice and does not impact PI3Ks role in insulin mediated control of glucose homeostasis. Selectively blocking the RAS-PI3K interaction may represent an attractive strategy for treating RAS-dependent cancers as it would avoid the toxicity associated with inhibitors of PI3K lipid kinase activity such as alpelisib. Here we report compounds that bind covalently to cysteine 242 in the RBD of PI3K p110 and block the ability of RAS to activate PI3K activity. These inhibitors have a profound impact on the growth of RAS mutant and also HER2 over-expressing tumors, particularly when combined with other inhibitors of the RAS/MAPK pathway, without causing hyperglycemia.

cancer biology↗

bioRxiv2024

Neonatal systemic gene therapy restores cardiorespiratory function in a rat model of Pompe disease

Absence of functional acid--glucosidase (GAA) leads to early-onset Pompe disease with cardiorespiratory and neuromuscular failure. A novel Pompe rat model (Gaa-/-) was used to test the hypothesis that neonatal gene therapy with adeno-associated virus serotype 9 (AAV9) restores cardiorespiratory neuromuscular function across the lifespan. Temporal vein administration of AAV9-DES-GAA or sham (saline) injection was done on post-natal day 1; rats were studied at 6-12 months old. Whole-body plethysmography showed that reduced inspiratory tidal volumes in Gaa-/-rats were corrected by AAV-GAA treatment. Matrix- assisted laser desorption/ionization mass spectrometry imaging (MALDI) revealed that AAV-GAA treatment normalized diaphragm muscle glycogen as well as glycans. Neurophysiological recordings of phrenic nerve output and immunohistochemical evaluation of the cervical spinal cord indicated a neurologic benefit of AAV-GAA treatment. In vivo magnetic resonance imaging demonstrated that impaired cardiac volumes in Gaa-/- rats were corrected by AAV-GAA treatment. Biochemical assays showed that AAV treatment increased GAA activity in the heart, diaphragm, quadriceps and spinal cord. We conclude that neonatal AAV9-DES-GAA therapy drives sustained, functional GAA expression and improved cardiorespiratory function in the Gaa-/- rat model of Pompe disease.

physiology↗

bioRxiv2024

Fluorescence based live cell imaging identifies exon 14 skipped hepatocyte growth factor receptor (MET) degraders

Despite ongoing efforts to employ structure-based methods to discover targeted protein degraders (TPD), the prevailing strategy continues to be the synthesis of a focused set of heterobifunctional compounds and screen them for target protein degradation. Here we used a fluorescence based live cell imaging screen to identify degraders that target exon 14 skipped hepatocyte growth factor receptor (MET). MET is a known oncogenic driver. MET exon 14 skipping mutations (METex14{Delta}) are found in lung cancers and result in the loss of a degron that is required for E3-ligase recognition and subsequent ubiquitination, prolonging the half-life and oncogenicity of MET. Since proteolysis targeting chimeras (PROTACs) are heterobifunctional molecules that promote target degradation by the proteosome, we sought to restore degradation of MET lost with METex14{Delta} using a MET-targeting PROTAC. We generated a library of sixty PROTACs of which 37 used the MET inhibitor capmatinib as the protein of interest targeting ligand. We screened this PROTAC library for targeted degradation of METex14{Delta}-GFP using live cell imaging. We benchmarked out MET-targeting PROTACs to that of a previously reported MET-targeting PROTAC, SJF8240. Curve fitting live cell imaging data affords determination of time required to degrade 50% of the target protein (DT50), which was used in determining structure activity relationships. A promising candidate, 48-284, identified from the screen, exhibited classic PROTAC characteristics, was > 15-fold more potent than SJF8240, had fewer off targets compared to SJF8240, and degraded MET in multiple cell lines.

cancer biology↗

bioRxiv2024

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfa-tase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning tools in Python, demonstrated superior performance among sub-missions. Furthermore, the study observed that state-of-the-art deep learning methods provided small but statistically significant improvement in predictive performance compared to less elaborate techniques. These findings underscore the utility of variant effect prediction, and the potential for models trained with modest resources to accurately classify VUS in genetic and clinical research.

genetics↗

bioRxiv2024

The brassinosteroid receptor gene BRI1 safeguards cell-autonomous brassinosteroid signaling across tissues

Brassinosteroid signaling is essential for plant growth as exemplified by the dwarf phenotype of loss-of-function mutants in BRASSINOSTEROID INSENSITIVE 1 (BRI1), a ubiquitously expressed Arabidopsis brassinosteroid receptor gene. Complementation of brassinosteroid-blind receptor mutants by BRI1 expression with various tissue-specific promoters implied that local brassinosteroid signaling may instruct growth non-cell-autonomously. Here we performed such rescues with a panel of receptor variants and promoters, in combination with tissue-specific transgene knockouts. Our experiments demonstrate that brassinosteroid receptor expression in several tissues is necessary but not sufficient for rescue. Moreover, complementation with tissue-specific promoters requires the genuine BRI1 gene body sequence, which confers ubiquitous expression of trace receptor amounts that are sufficient to promote brassinosteroid-dependent root growth. Our data, therefore, argue for a largely cell-autonomous action of brassinosteroid receptors.

plant biology↗

bioRxiv2024

Chemogenetic stimulation of phrenic motor output and diaphragm activity

Impaired respiratory motor output contributes to morbidity and mortality in many neurodegenerative diseases and neurologic injuries. We investigated if expressing designer receptors exclusively activated by designer drugs (DREADDs) in the mid-cervical spinal cord could effectively stimulate phrenic motor output to increase diaphragm activation. Two primary questions were addressed: 1) does effective DREADD-mediated diaphragm activation require focal expression in phrenic motoneurons (vs. non-specific mid-cervical expression), and 2) can this method produce a sustained increase in inspiratory tidal volume? Wild type (C57/bl6) and ChAT-Cre mice received bilateral intraspinal (C4) injections of an adeno-associated virus (AAV) encoding the hM3D(Gq) excitatory DREADD. In wild-type mice, this produced non-specific DREADD expression throughout the mid-cervical ventral horn. In ChAT-Cre mice, a Cre-dependent viral construct was used to drive neuronal DREADD expression in the C4 ventral horn, targeting phrenic motoneurons. Diaphragm EMG was recorded in isoflurane-anesthetized spontaneously breathing mice at 4-9 weeks post-AAV delivery. The DREADD ligand JHU37160 (J60) caused a bilateral, sustained (>1 hour) increase in inspiratory EMG bursting in both groups; the relative increase was greater in ChAT-Cre mice. Additional experiments in ChAT-Cre rats were conducted to determine if spinal DREADD activation could increase inspiratory tidal volume (VT) during spontaneous breathing, assessed using whole-body plethysmography without anesthesia. Three-to-four months after intraspinal (C4) injection of AAV driving Cre-dependent hM3D(Gq) expression, intravenous J60 resulted in a sustained (>30 min) increase in VT. Subsequently, phrenic nerve recordings performed under urethane anesthesia confirmed that J60 evoked a > 200% increase in inspiratory output. We conclude that targeting mid-cervical spinal DREADD expression to the phrenic motoneuron pool enables ligand-induced, sustained increases in phrenic motor output and VT. Further development of this technology may enable application to clinical conditions associated with impaired diaphragm activation and hypoventilation.

neuroscience↗

bioRxiv2024

Spatial proteomic analysis of a lung cancer model reveals regulatory T cells attenuate KRAS-G12C inhibitor-induced immune responses

We recently showed that lung tumor specific KRAS-G12C inhibition causes remodelling of the tumor immune microenvironment from cold to hot. As a result, KRAS-G12C inhibition is able to synergise with anti-PD-1 treatment, but only in tumor models that were already moderately responsive to immune checkpoint blockade at baseline. To investigate mechanisms that restrain immunotherapy sensitivity in non-responsive tumors, we used multiplex imaging mass cytometry to explore spatial patterns in the tumor microenvironment of the highly immune evasive KRAS mutant murine Lewis Lung Cancer model. Clustering of close neighbour information per cell allowed characterisation of spatial patterns or communities in the tissue. We identified a community harbouring features of localised T-cell activation, where CD4+ and CD8+ T cells and dendritic cells were gathered together. KRAS-G12C inhibition led to increased expression of PD-1 on T cells, CXCL9 expression by dendritic cells, together with increased proliferation and potential cytotoxicity of CD8+ T cells, indicating an effector response. However, we also observed a high incidence of regulatory T cells (Tregs) within this community, which had frequent contact with effector T cells, suggesting that Tregs may be able to dampen anti-tumoral immune responses following KRAS-G12C inhibition. Similar communities were detected in human lung adenocarcinoma clinical samples. Depleting Tregs in vivo with anti-CTLA-4 antibody rescued the anti-tumor immune response and led to enhanced tumor control in combination with anti-PD-1 and KRAS-G12C inhibitor. We therefore propose use of KRAS-G12C inhibitor in combination with Treg depletion as a therapeutic opportunity that increases anti-tumoral immune responses and initiates tumor regression. One sentence summarySpatial analysis identified regulatory T cells as potential source of local T cell repression, mediating resistance to KRAS-G12Ci and anti-PD1 therapy.

cancer biology↗

bioRxiv2024

Novel spirocyclic dimer, SpiD3, targets chronic lymphocytic leukemia survival pathways with potent preclinical effects

Chronic lymphocytic leukemia (CLL) cell survival and growth is fueled by the induction of B-cell receptor (BCR) signaling within the tumor microenvironment (TME) driving activation of NF- {kappa}B signaling and the unfolded protein response (UPR). Malignant cells have higher basal levels of UPR posing a unique therapeutic window to combat CLL cell growth using pharmacological agents that induce accumulation of misfolded proteins. Frontline CLL therapeutics that directly target BCR signaling such as Bruton-tyrosine kinase (BTK) inhibitors (e.g., ibrutinib) have enhanced patient survival. However, resistance mechanisms wherein tumor cells bypass BTK inhibition through acquired BTK mutations, and/or activation of alternative survival mechanisms have rendered ibrutinib ineffective, imposing the need for novel therapeutics. We evaluated SpiD3, a novel spirocyclic dimer, in CLL cell lines, patient-derived CLL samples, ibrutinib-resistant CLL cells, and in the E{micro}-TCL1 mouse model. Our integrated multi-omics and functional analyses revealed BCR signaling, NF-{kappa}B signaling, and endoplasmic reticulum stress among the top pathways modulated by SpiD3. This was accompanied by marked upregulation of the UPR and inhibition of global protein synthesis in CLL cell lines and patient-derived CLL cells. In ibrutinib-resistant CLL cells, SpiD3 retained its anti-leukemic effects, mirrored in reduced activation of key proliferative pathways (e.g., PRAS, ERK, MYC). Translationally, we observed reduced tumor burden in SpiD3-treated E{micro}-TCL1 mice. Our findings reveal that SpiD3 exploits critical vulnerabilities in CLL cells including NF-{kappa}B signaling and the UPR, culminating in profound anti-tumor properties independent of TME stimuli. STATEMENT OF SIGNIFICANCESpiD3 demonstrates cytotoxicity in CLL partially through inhibition of NF-{kappa}B signaling independent of tumor-supportive stimuli. By inducing the accumulation of unfolded proteins, SpiD3 activates the UPR and hinders protein synthesis in CLL cells. Overall, SpiD3 exploits critical CLL vulnerabilities (i.e., the NF-{kappa}B pathway and UPR) highlighting its use in drug-resistant CLL. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=137 HEIGHT=200 SRC="FIGDIR/small/578283v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1dd7a38org.highwire.dtl.DTLVardef@1831c85org.highwire.dtl.DTLVardef@c571f9org.highwire.dtl.DTLVardef@bdce53_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗