Dataset Information

Spatial SILAC Regorafenib Treated Bottom-up Proteomic Analysis

ABSTRACT: Developing effective model systems to evaluate new potential chemotherapeutic reagents is critical. Three-dimensional cell cultures, such as spheroids, aid in bridging the gap between commonly used monolayer cell cultures and significantly more complex and expensive animal models. Spheroid model systems contain pathophysiological and chemical gradients similar to an in vivo tumor, which ultimately form distinct cellular subpopulations. In the spatial SILAC model, labels are pulsed into the spheroid at discrete time windows during development. These media pulses result in labeled proteins in distinct regions of the spheroid, which allows for tracing of quantitative proteomic changes to be correlated to different cellular subregions. In this study, we use the Spatial SILAC model to evaluate the proteomic response of a colon carcinoma spheroid to the multikinase inhibitor Regorafenib. We determined regorafenib to be an effective kinase inhibitor which significantly altered whole spheroid proliferation and resulted in increased apoptosis when the signal was averaged for all cells in the culture. However, when regorafenib treatment is more closely examined among the cellular subpopulations, drastic differences are observed for how the drug impacted the proteome of the necrotic spheroid core and the proliferating outer regions. Whole spheroid and outer region analysis shows that regorafenib treatment inhibited critical pathways such as mTOR signaling, ERK/MAPK signaling, and colorectal cancer metastasis signaling. However, analysis of the core shows that regorafenib had an entirely different effect, including upregulation of MAPK1 and KRAS, possibly indicating drug resistance within these late apoptotic cells. Ultimately, these combinatory studies can be used to further understanding of drug metabolism is different cellular subpopulations and provide valuable information to ultimately improve the accuracy of therapeutic testing.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Colon

DISEASE(S): Colon Cancer

SUBMITTER: Nicole Beller

LAB HEAD: Dr. Amanda Hummon

PROVIDER: PXD038958 | Pride | 2024-08-09

REPOSITORIES: Pride

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Publications

Evaluating the Pharmacokinetics and Pharmacodynamics of Chemotherapeutics within a Spatial SILAC-Labeled Spheroid Model System.

Beller Nicole C NC Wang Yijia Y Hummon Amanda B AB

Analytical chemistry 20230718 30

Tumors have considerable cellular heterogeneity that is impossible to explore with simple cell cultures. Spheroid cultures contain pathophysiological and chemical gradients similar to in vivo tumors and show complex responses to therapeutics, similar to a tumor. Using pulsed isotopic labels, we demonstrate the pronounced differential response of the proteome to the drug Regorafenib, a multikinase inhibitor, in HCT 116 spheroids. Regorafenib treatment of outer spheroids inhibits proteins involved ...[more]

PMID: 37462741

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Project description:Spheroids, near spherical multicellular aggregates, are one of the most common types of threedimensional (3D) cell cultures. Despite decades of implementation of spheroid technology in various fields of life science and medical research, no minimal information (MI) guidelines are available to cope with heterogeneity and to stimulate transparency. To cope with this unmet need, we assembled an international consortium to develop the MISpheroID knowledgebase (https://www.mispheroid.org) and interrogation revealed heterogeneity and lack of transparency in published spheroid-related experiments. This steered us to empirically evaluate the impact of cell line, culture medium type, spheroid formation method and spheroid size on complementary spheroid metrics (RNA fingerprints, presence of cell death, ATP content, glucose to lactate conversion, secreted protein signatures, circularity, size and cancer therapy response). We measured media-induced transcriptional variation in lung cancer (A549), colorectal cancer (HCT116), ovarium cancer (SKOV3) and glioblastoma (U87MG) spheroids using RNA sequencing (RNA-seq). These spheroids were formed in ultra-low attachment plates and cultured in 6 different media types (DMEM high glucose, DMEM/F12, RPMI1640, DMEM low glucose, EMEM and MEM) for 5 (HCT116) or 7 (A549, SKOV3 and U87MG) days. RNA extraction was performed on 2 spheroids per condition using the miRNeasy micro kit (217084, Qiagen, Hilden, Germany). RNA-sequencing libraries were prepared from purified RNA using the QuantSeq 3' mRNA-Seq Library Prep Kit FWD for Illumina (Lexogen, Vienna, Austria) according to the manufacturer's instructions, using 27.5ng of RNA that was DNase treated using HL-dsDNA (Arcticzymes, TromsØ, Norway). The individual libraries were quantified by qPCR using the KAPA Library Quantification Kit (Roche, Pleasanton, CA, US) and equimolarly pooled. The pool concentration was measured with Qubit and 1.4pM with 1% PhiX was sequenced on a NextSeq 500 (Illumina, San Diego, CA, US) using a high-output 1x75 run. Reads were mapped to the human genome using Tophat and gene expression counts were generated using HTSeq. This data was used to perform Principal Component Analysis (PCA) and Gene Set Enrichment Analysis (GSEA).

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