癌症生物学

Fatty acid (FA) biosynthesis is a crucial cellular process that converts nutrients into metabolic intermediates necessary for membrane biosynthesis, energy storage, and the production of signaling molecules. Acetyl-CoA carboxylase (ACACA) plays a pivotal catalytic role in both fatty acid synthesis and oxidation. This cytosolic enzyme catalyzes the carboxylation of acetyl-CoA to malonyl-CoA, which represents the first and rate-limiting step in de novo fatty acid biosynthesis. In this study, we developed a rapid and effective purification scheme for separating human ACACA without any exogenous affinity tags, providing researchers with a novel method to obtain human ACACA in its native form.

In response to DNA-damaging physical or chemical agents, the DNA damage repair (DDR) pathway is activated in eukaryotic cells. In the radiobiology field, it is important to assess the DNA damage effect of a certain irradiation regime on cancer cells and compare it to the effect on non-transformed cells exposed to identical conditions. The first step in the DNA repair mechanism consists of the attachment of proteins such as the phosphorylated histone γ-H2AX (p-γ-H2AX) to DNA double-strand breaks (DSB) in the nucleus, which leads to the formation of repairing foci. Therefore, imaging methods were established to evaluate the presence of foci inside the nucleus after exposure to DNA-damaging agents. This approach is superior in sensitivity to other methods, such as the comet assay or the pulsed-field gel electrophoresis (PFGE), that allow direct detection of cleaved DNA fragments. These electrophoresis-based methods require high ionizing radiation dosages and are difficult to reproduce compared to imaging-based assays. Conventionally, the number of foci is determined visually, with limited accuracy and throughput. Here, by exploring the effect of laser-plasma accelerated electrons FLASH irradiation on cancer cells, we describe an image cytometry protocol for the quantification of foci with increased throughput, upon large areas, with increased precision and sample-to-sample consistency. It consists of the automatic scanning of fluorescently labeled cells and using a gating strategy similar to flow cytometry to discriminate cells in co-culture based on nuclei elongation properties, followed by automatic quantification of foci number and statistical analysis. The protocol can be used to monitor the kinetics of DNA repair by quantification of p-γ-H2AX at different time points post-exposure or by quantification of other DNA repair proteins that form foci at the DNA DSB sites. Also, the protocol can be used for quantifying the response to chemical agents targeting DNA. This protocol can be performed on any type of cancer cells, and our gating strategy to discriminate cells in co-culture can also be used in other research applications.

Recent advancements in high-throughput functional genomics have substantially enhanced our comprehension of the genetic and molecular dimensions of cancer, facilitating the identification of novel therapeutic targets. One of the key methodological innovations in this field is the CRISPR screening strategy, which has proven efficacy in elucidating essential gene functions and pathway alterations critical to cancer cell survival and fitness. The construction of custom CRISPR libraries permits the integration of tailored single-guide RNAs (gRNAs), offering greater flexibility as well as specificity in comparison to the commercially available libraries, and enables more refined secondary screening strategies to attenuate the selection of false positive potential gene candidates. Among various molecular cloning techniques, circular polymerase extension cloning (CPEC) has emerged as a highly efficient and cost-effective approach. CPEC utilizes polymerase overlap extension to assemble overlapping DNA fragments into circular plasmids, eliminating the need for restriction digestion and ligation and thus streamlining the creation of both single and multi-fragment constructs. In this protocol, we present the application of the CPEC method to construct the EpiTransNuc knockout gRNA library, specifically designed to target epigenetic regulators, transcription factors, and nuclear proteins. The custom library, assembled using the lentiGuide-Puro backbone, comprises 40,820 gRNAs, with 10 gRNAs per gene, along with 100 non-targeting control gRNAs. Importantly, the CPEC method can be tailored to meet the specific requirements of other custom gRNA libraries, offering flexibility for diverse research applications.

Glioblastoma (GBM) is the most aggressive brain tumor, and different efforts have been employed in the search for new drugs and therapeutic protocols for GBM. A label-free, mass spectrometry–based quantitative proteomics has been developed to identify and characterize proteins that are differentially expressed in GBM to gain a better understanding of the interactions and functions that lead to the pathological state focusing on the extracellular matrix (ECM). The main challenge in GBM research has been to identify novel molecular therapeutic targets and accurate diagnostic/prognostic biomarkers. To better investigate the GBM secretome upon in vitro treatment with histone deacetylase inhibitor (iHDAC), we employed a high-throughput label-free methodology of protein identification and quantification based on mass spectrometry followed by in silico studies. Our analysis revealed significant changes in the ECM protein profile, particularly those associated with the angiogenic matrisome. Proteins such as decorin, ADAM10, ADAM12, and ADAM15 were differentially regulated upon in silico analysis. In contrast, key angiogenesis markers such as VEGF and ECM proteins like fibronectin and integrins did not display significant changes. These results suggest that iHDAC inhibitors may modulate or suppress tumor behavior growth by targeting ECM proteins’ secretion rather than directly inhibiting angiogenesis.

Cell viability and cytotoxicity assays are commonly used to investigate protein function and to evaluate drug efficacy in cancer and other disease models. Cytotoxicity is the measure of dead or damaged cells and is often quantified using assays based on cellular characteristics such as membrane integrity or mitochondrial metabolism. However, these assays are typically limited to endpoint analysis and lack emulation of physiological conditions. The IncuCyte Live and Dead Cell assay described here leverages common cell permeability methodologies but uses fluorescence microscopy channels to image both live and dead cells over time and phase microscopy channels to measure confluency. Cytotox green reagent is a cell membrane–impermeable dye that can only be taken up by cells with poor cell membrane integrity. NucLight rapid red dye is a cell membrane–permeable nuclear dye that can be taken up by all cells. Based on dye uptake and fluorescence intensity, the IncuCyte software can be used to analyze images for live and dead cell detection and quantification. Phase microscopy is used to determine confluency and can be further quantified using the IncuCyte software. We provide an application of this assay, using it to calculate IC₅₀ and EC₅₀ values for the assessment of drug efficacy.

Recurrent hormone receptor-positive (HR+) breast cancer is a leading cause of cancer mortality in women. Recurrence and resistance to targeted therapies have been difficult to study due to the long clinical course of the disease, the complex nature of resistance, and the lack of clinically relevant model systems. Existing models are limited to a few HR+ cell lines, organoid models, and patient-derived xenograft models, all lacking components of the human tumor microenvironment. Furthermore, the low take rate and loss of estrogen receptor (ER) expression in patient-derived organoids (PDOs) has been challenging. Our protocol allows simultaneous isolation of PDOs and matching cancer-associated fibroblasts (CAFs) from primary and metastatic HR+ breast cancers. Importantly, our protocol has a higher take rate and enables long-term culturing of PDOs that retain ER expression. Our matching PDOs and CAFs will provide researchers with a new resource to study the influence of the tumor microenvironment on various aspects of cancer biology such as cell growth and drug resistance in HR+ breast cancer.

The initiation and progression of prostate cancer (PCa) are associated with aging. In the history of age-related PCa research, mice have become a more popular animal model option than any other species due to their short lifespan and rapid reproduction. However, PCa in mice is usually induced at a relatively young age, while it spontaneously develops in humans at an older age. Thus, it is essential to develop a method by which the PCa initiation and progression timeline can be strictly controlled to mimic human physiological conditions. One milestone in this field was the identification of the prostate-specific transcription factor, Probasin (Pb), which allowed for the prostate-specific expression of genes knocked into the mice's genome. Another milestone is the establishment of the preclinical mouse model with Pten conditionally knocked out in the prostate tissue, which closely mimics the formation and growth of human PCa. Hereby, we present the prostate-specific temporally and spatially controlled Pten knockout PCa mouse model that can be induced using an adenovirus-based Cre-LoxP system. The Cre recombinase (Cre) is inserted into an adenovirus vector. Unlike Pb-Cre knock-in models (which are spatially but not temporally controlled), the expression of Cre is activated to knock out Pten from the mice's prostate epithelial cells once injected. The viral delivery procedures strictly control the location and time of Pten knockout. This novel approach provides a powerful age-related murine model for PCa, emphasizing the effect of aging on prostate carcinogenesis.

Genome-wide gene expression analysis is a commonly used method to quantitatively examine the transcriptional signature of any tissue or cell state. Standard bulk cell RNA sequencing (RNA-seq) quantifies RNAs in the cells of the tissue type of interest through massive parallel sequencing of cDNA synthesized from the cellular RNA. The subsequent analysis of global RNA expression and normalization of RNA expression levels between two or more samples generally assumes that cells from all samples produce equivalent amounts of RNA per cell. This assumption may be invalid in cells where MYC or MYCN expression levels are markedly different and thus, overall mRNA expression per cell is altered. Here, we describe an approach for RNA-seq analysis of MYCN-amplified neuroblastoma cells during treatment with retinoic acid, which causes dramatic downregulation of MYCN expression and induces growth arrest and differentiation of the cells. Our procedure employs spiked-in RNA standards added in ratio to the number of cells in each sample prior to RNA extraction. In the analysis of differential gene expression, the expression level of each gene is standardized to the spiked-in RNA standard to accurately assess gene expression levels per cell in conditions of high and low MYCN expression. Our protocol thus provides a step-by-step experimental approach for normalizing RNA-seq expression data on a per-cell-number basis, allowing accurate assessment of differential gene expression in cells expressing markedly different levels of MYC or MYCN.

Endometrial cancer (EC) is the leading cause of gynecologic cancer morbidity and mortality in the U.S. Despite advancements in cancer research, EC death rates are increasing, particularly high-grade endometrial cancers. The development of three-dimensional (3D) patient-derived organoid (PDO) models for EC is crucial, as they provide a more accurate representation of the biological and genetic complexity of a patient’s tumor compared to traditional 2D cell lines. Here, we describe a protocol for cultivating PDO models from normal endometrium and EC across different EC subtypes. These EC PDO models can be expanded across multiple passages and facilitate the exploration of tumor behavior and drug responses, thereby advancing our understanding of the disease and potentially leading to more effective and individualized novel therapeutic strategies.

The phenomenon of cell invasion is an essential step in angiogenesis, embryonic development, immune responses, and cancer metastasis. In the course of cancer progression, the ability of neoplastic cells to degrade the basement membrane and penetrate neighboring tissue (or blood vessels and lymph nodes) is an early event of the metastatic cascade. The Boyden chamber assay is one of the most prevalent methods implemented to measure the pro- or anti-invasive effects of drugs, investigate signaling pathways that modulate cell invasion, and characterize the role of extracellular matrix proteins in metastasis. However, the traditional protocol of the Boyden chamber assay has some technical challenges and limitations. One such challenge is that the endpoint of the assay involves photographing and counting stained cells (in multiple fields) on porous filters. This process is very arduous, requires multiple observers, and is very time-consuming. Our improved protocol for the Boyden chamber assay involves lysis of the dye-stained cells and reading the absorbance using an ELISA reader to mitigate this challenge. We believe that our improved Boyden chamber methodology offers a standardized, high-throughput format to evaluate the efficacy of various drugs and test compounds in influencing cellular invasion in normal and diseased states. We believe that our protocol will be useful for researchers working in the fields of immunology, vascular biology, drug discovery, cancer biology, and developmental biology.