Biology subjects

Anderson, K. C.

Publications and source records attributed to Anderson, K. C..

7 recordsLinked to original sources

bioRxiv2026

Set202 is a histone lysine methyltransferase that enables Cryptococcus neoformans to adapt to the host environment

All pathogens rely on dynamic gene expression for host adaptation and disease causation. This is especially important for pathogens that normally are found in the environment, like Cryptococcus neoformans, given that environmental and host conditions are dramatically different. Epigenetic modifications, like those carried out by SET-domain histone lysine methyltransferases (HKMTs), are essential for this genome expression flexibility. While transcription factors and signaling cascades have been well-studied in C. neoformanss host adaptation, the role of HKMTs in this process has not been explored. Here, we characterize the gene SET202, previously reported as a putative HKMT important for growth in host lungs. We show that set202{Delta} mutants have 50% less phagosomal permeabilization than the wild-type fungi, have phagosomal maturation defects, and poor intracellular survival. Additionally, they are defective in traits promoting virulence, including significantly smaller capsules, less melanin, and poor growth under host-like conditions. These phenotypes contributed to reduced virulence in a murine model of infection but, notably, this defect was host-temperature-dependent. In order to explain mechanistically how SET202 deletion could affect such a wide range of processes, we assessed and demonstrated, for the first time, that Set202 is a true histone-3-lysine 36 methyltransferase, supporting its role in epigenetically modifying the fungal genome to enable adaptation to the hostile host conditions. Consequently, our findings support the study of the biological function of Set202, as it can serve as a potential future therapeutic target for the treatment of infections caused by C. neoformans, and possibly other pathogenic fungi.

microbiology↗

bioRxiv2025

Decitabine reverses innate immune gene suppression in rare melanomas

Rare melanoma subtypes, including acral, mucosal, and uveal melanomas, exhibit limited responses to immune checkpoint inhibitors (ICIs), yet the molecular mechanisms of immune resistance remain poorly defined. Here, we performed transcriptomic profiling of patient-derived xenografts (PDXs) and publicly available tumor datasets to systematically compare intratumoral gene expression across cutaneous and rare melanoma subtypes. We identified a convergent downregulation of innate immune pathogen sensing (IIPS) and type I interferon signaling pathways in rare melanomas compared to cutaneous, with lower expression also observed in anti-PD-1 non-responder tumors. CIBERSORT deconvolution of immune populations revealed that lower IIPS gene-expressing tumors exhibited reduced CD8 T cell and memory CD4 T cell infiltration, and enrichment of M2 macrophages, consistent with a more immunosuppressive tumor microenvironment. In vitro screening of epigenetic and immunomodulatory compounds revealed that the DNA hypomethylating agent decitabine robustly induced IIPS and adaptive immune gene expression in rare melanoma cell lines. In vivo treatment of mucosal and uveal melanoma xenograft models with decitabine resulted in durable upregulation of IIPS and antigen presentation genes, and whole transcriptome analysis confirmed that IIPS gene re-expression was the dominant transcriptional consequence of decitabine treatment. These findings highlight silencing of IIPS genes as a recurrent immune evasion mechanism in rare melanomas and nominate decitabine as a potential immunomodulatory strategy for enhancing immune responsiveness.

cancer biology↗

bioRxiv2022

Characterizing dry mass and volume changes in human multiple myeloma cells upon treatment with proteotoxic and genotoxic drugs

Multiple myeloma (MM) is a cancer of terminally differentiated plasma cells. MM remains incurable, but overall survival of patients has progressively increased over the past two decades largely due to novel agents such as proteasome inhibitors (PI) and the immunomodulatory agents. While these therapies are highly effective, MM patients can be de novo resistant and acquired resistance with prolonged treatment is inevitable. There is growing interest in early, accurate identification of responsive versus non-responsive patients, however limited sample availability and need for rapid assays are limiting factors. Here, we test dry mass and volume as label-free biomarkers to monitor early response of MM cells to treatment with bortezomib, doxorubicin, and ultraviolet light. For the dry mass measurement, we use two types of phase-sensitive optical microscopy techniques: digital holographic tomography and computationally-enhanced quantitative phase microscopy. We show that human MM cell lines (RPMI8226, MM.1S, KMS20, and AMO1) increase dry mass upon bortezomib treatment. This dry mass increase after bortezomib treatment occurs as early as 1 hour for sensitive cells and 4 hours for all tested cells. We further confirm this observation using primary multiple myeloma cells derived from patients and show that a correlation exists between increase in dry mass and sensitivity to bortezomib, supporting the use of dry mass as a biomarker. The volume measurement using Coulter counter shows a more complex behavior; RPMI8226 cells increase the volume at an early stage of apoptosis, but MM.1S cells show the volume decrease typically observed with apoptotic cells. Altogether, this cell study presents complex kinetics of dry mass and volume at an early stage of apoptosis, which may serve as a basis for the detection and treatment of MM cells.

systems biology↗

bioRxiv2021

Long Noncoding RNA RROL Provides Chromatin Scaffold for MYC-WDR82 Interaction to Impact Lipid Metabolism and Tumor Cell Growth in Multiple Myeloma

Long noncoding RNAs (lncRNA) can drive the tumorigenesis and be susceptible to therapeutic intervention. To define the landscape of therapeutically actionable lncRNA dependencies in multiple myeloma (MM), we coupled our extensive lncRNA transcriptomic profile with lncRNA targeted CRISPR interference viability screen and identified RNA Regulator of Lipogenesis (RROL) as a leading lncRNA dependency in MM. RROL shares its origin with the microRNA locus MIR17HG, however supports the proliferation and survival of MM cells in a microRNA- and DROSHA- independent manner. We found that RROL provides a chromatin scaffold for the functional interaction between c-MYC and WDR82 to promote the regulation of the lipogenic pathways via the transcriptional control of the rate-limiting enzyme ACC1 in MM cells. Inhibition of RROL with clinically applicable antisense molecules disrupts its transcriptional and functional activities causing potent anti-tumor effects both in vitro and in vivo in two pre-clinical animal models. This study establishes lncRNA RROL as a therapeutically actionable dependency with a unique mechanism of action in support of myeloma cell growth.

cancer biology↗

bioRxiv2021

Development of PRPK Directed Phthalimides

Immunomodulatory drugs (IMiDs) thalidomide, lenalidomide, and pomalidomide (Pom) bind to cereblon (CRBN) and trigger proteasomal degradation of neo-substrates IKZF1/3 leading to multiple myeloma (MM) cell apoptosis. Pomalidomide (Pom) also binds albeit weakly to p53-related protein kinase (PRPK, aka TP53RK), an understudied kinase reported to be associated with poor prognosis in MM patients. Here, we developed a series of IMiDs based on Pom and conducted a structure-activity relationship (SAR) study to identify a potent and selective PRPK binder. Structural analysis showed that IMiDs bind PRPK in a fundamentally different way from CRBN, and suggested specific derivatization to improve affinity. We employed a structure-guided strategy to develop compound TXM-02-118, which exhibited nanomolar affinityfor PRPK in binding assays, and showed high selectivity for PRPK over CRBN. Overall, the work represents an initial effort to develop tool compounds for studying PRPK. Moreover, it illustrates how a single class of molecules can use different recognition elements to bind diverse targets using fundamentally different binding poses. This has broad implications for chemical probe and lead compound selectivity profiling, and argues for more wide-spread use of global proteomics or similar methodologies.

biochemistry↗

bioRxiv2019

Revealing the impact of recurrent and rare structural variants in multiple myeloma

The landscape of structural variants (SVs) in multiple myeloma remains poorly understood. Here, we performed comprehensive classification and analysis of SVs in multiple myeloma, interrogating a large cohort of 762 patients with whole genome and RNA sequencing. We identified 100 SV hotspots involving 31 new candidate driver genes, including drug targets BCMA (TNFRSF17) and SLAMF7. Complex SVs, including chromothripsis and templated insertions, were present in 61 % of patients and frequently resulted in the simultaneous acquisition of multiple drivers. After accounting for all recurrent events, 63 % of SVs remained unexplained. Intriguingly, these rare SVs were associated with up to 7-fold enrichment for outlier gene expression, indicating that many rare driver SVs remain unrecognized and are likely important in the biology of individual tumors.

genomics↗

bioRxiv2018

Genomic landscape and chronological reconstruction of driver events in multiple myeloma

Multiple myeloma (MM) has a heterogeneous genome, evolving through both pre-clinical and post-diagnosis phases. Here, using sequences from 67 MM genomes serially collected from 30 patients together with public datasets, we establish a hierarchy of driver lesions. Point mutations, structural variants and copy number aberrations define at least 7 genomic subgroups of MM, each with distinct sets of co-operating driver mutations. Complex structural events are major drivers of MM, including chromothripsis, chromoplexy and a replication-based mechanism of templated insertions: these typically occur early. Hyperdiploidy also occurs early, with individual chromosomes often gained in more than one chronological epoch of MM evolution, showing a preferred order of acquisition. Positively selected point mutations frequently occur in later phases of disease development, as do structural variants involving MYC. Thus, initiating driver events of MM, drawn from a limited repertoire of structural and numerical chromosomal changes, shape preferred trajectories of subsequent evolution.

cancer biology↗