Biology subjects

Lust, H.

Publications and source records attributed to Lust, H..

3 recordsLinked to original sources

bioRxiv2025

Proteome changes associated with effect of high-dose single-fractionation radiation on lung adenocarcinoma cell lines

Lung cancer is a leading cause of cancer-related mortality globally, with non-small cell lung cancer (NSCLC) representing 85% of cases. Advances in treatment modalities, including the emergence of antibody-drug conjugates and stereotactic radiation therapy, have improved outcomes. However, the possible synergistic effects of these therapies remain underexplored at the molecular level. This study investigated high-dose radiation-induced proteomic changes in lung adenocarcinoma cell line HCC-44 grown adherently and cell line A549, grown as adherent cells and 3D spheroids. Our hypothesis was that proteins upregulated by 10 Gy irradiation serve as resistance drivers in cancerous cells and can thus represent potential therapeutic targets. The label-free mass spectrometry revealed distinct proteomic responses to 10 Gy irradiation, varying by cell line and culturing conditions. Differentially expressed proteins elevated in the irradiated samples included ephrin type-A receptor 2 (EPHA2) in adherent cells and insulin-like growth factor 2 receptor (IGF2R), tetraspanin 3 (TSPAN3) as well as cathepsin D (CTSD) in spheroids. The validation of these targets was carried out via Western blot, immunofluorescence, viability assay and spheroid formation assay. The functional assays demonstrated that irradiation sensitized A549 cells to EPHA2 and CTSD inhibitors. These findings underscore the potential of integrating radiation and targeted therapies in NSCLC treatment, and highlight EPHA2 as a promising candidate for future therapeutic strategies.

cell biology↗

bioRxiv2023

Inhibition of epigenetic and cell cycle-related targets in glioblastoma cell lines: onametostat reduces proliferation and viability in both normoxic and hypoxic conditions

The choice of targeted therapies for treatment of glioblastoma patients is currently limited, and most glioblastoma patients die from the disease recurrence. Thus, systematic studies in simplified model systems are required to pinpoint the choice of targets for further exploration in clinical settings. Here, we report screening of 5 compounds targeting epigenetic writers or erasers and 6 compounds targeting cell cycle-regulating protein kinases against 3 glioblastoma cell lines following incubation under normoxic or hypoxic conditions. The viability assay indicated that PRMT5 inhibitor onametostat was endowed with high potency under both normoxic and hypoxic conditions in both MGMT-positive and MGMT-negative cell lines. In U-251 MG and U-87 MG cells, onametostat also affected the spheroid formation at concentrations lower than the currently used chemotherapeutic drug lomustine. Furthermore, in T98-G cell line, treatment with onametostat led to dramatic changes in the transcriptome profile by inducing the cell cycle arrest, suppressing RNA splicing, and down-regulating several major glioblastoma cell survival pathways. In this way, we confirmed that inhibition of epigenetic targets might represent a viable strategy for glioblastoma treatment even in the case of decreased chemo- and radiation sensitivity, although further studies in clinically more relevant models are required.

cancer biology↗

bioRxiv2023

Cell type-specific Interaction Analysis using Doublets in scRNA-seq (CIcADA)

MotivationDoublets are usually considered an unwanted artifact of single-cell RNA-sequencing (scRNA-seq) and are only identified in datasets for the sake of removal. However, if cells have a juxtacrine attachment to one another in situ and maintain this association through an scRNA-seq processing pipeline that only partially dissociates the tissue, these doublets can provide meaningful biological information regarding the interactions and cell processes occurring in the analyzed tissue. This is especially true for cases such as the immune compartment of the tumor microenvironment, where the frequency and type of immune cell juxtacrine interactions can be a prognostic indicator. ResultsWe developed Cell type-specific Interaction Analysis using Doublets in scRNA-seq (CIcADA) as a pipeline for identifying and analyzing biological doublets in scRNA-seq data. CIcADA identifies putative doublets using multi-label cell type scores and characterizes interaction dynamics through a comparison against synthetic doublets of the same cell type composition. In performing CIcADA on several scRNA-seq tumor datasets, we found that the identified doublets were consistently upregulating expression of immune response genes. ContactCourtney.T.Schiebout.GR@Dartmouth.edu, Hildreth.R.Frost@Dartmouth.edu

bioinformatics↗