TMU454

Bromodeoxyuridine (BrdU) incorporation assay is based on the principle that BrdU, a thymidine analog, is incorporated into newly synthesized DNA during the S phase of the cell cycle, thereby serving as a marker of DNA replication and cellular proliferation. Incorporated BrdU can be detected using anti-BrdU antibodies following DNA denaturation, enabling visualization or quantification of proliferating cells through immunochemical detection methods such as immunofluorescence or immunohistochemistry.

A method of simulating the in vivo environment in vitro to maintain the cell growth, differentation and main functions.

The CFSE (carboxyfluorescein diacetate succinimidyl ester) dye dilution proliferation assay is based on the covalent labeling of intracellular proteins by a cell-permeant fluorescent dye that becomes fluorescent upon intracellular ester cleavage and then is stably retained within cells. As labeled cells divide, the dye is partitioned equally between daughter cells, resulting in a stepwise halving of fluorescence intensity that can be quantified by flow cytometry to determine the number of cell divisions undergone by each cell population. This fluorescence dilution approach enables quantitative tracking of lymphocyte proliferation at the single-cell level over multiple rounds of division. CFSE-based proliferation analysis has been widely applied to measure antigen-driven lymphocyte expansion in vitro, where discrete fluorescence peaks correspond to successive cell divisions and allow reconstruction of proliferative history within heterogeneous populations.

Dye-dilution cell tracking assays quantify cell proliferation by covalently labeling intracellular proteins with a stable fluorescent dye that is equally partitioned between daughter cells during mitosis, resulting in stepwise halving of fluorescence intensity with each cell division as measured by flow cytometry histograms. Carboxyfluorescein diacetate succinimidyl ester (CFSE) is a prototypical dye that diffuses into cells, is enzymatically converted into a fluorescent compound, and then covalently binds intracellular amine groups, producing long-lived fluorescence suitable for tracking multiple rounds of division in vitro and in vivo. Successive generations of dividing cells form discrete peaks of decreasing fluorescence intensity, enabling estimation of proliferation history, precursor frequency, and division index within heterogeneous populations. Alternative dyes such as CellTrace Violet (CTV) and far-red membrane dyes (e. g. , PKH26) follow the same dilution principle but differ

Patient-derived orthotopic xenograft (PDOX) modeling implants fresh patient tumor tissue or patient-derived tumor cells into the anatomically corresponding organ or tissue site of immunodeficient mice, usually by surgical orthotopic implantation, to preserve patient tumor histology, local microenvironmental context, invasion, metastatic behavior, and treatment-response features better than subcutaneous implantation. PDOX readouts include tumor engraftment, orthotopic tumor growth, local invasion, metastasis, recurrence after resection, histologic similarity to the donor tumor, biomarker retention, molecular concordance, survival, and response or resistance to therapy. PDOX models are used for preclinical drug testing and individualized therapy evaluation, but engraftment success varies by tumor type and specimen quality.

The CCK-8/WST-8 assay is based on the reduction of the water-soluble tetrazolium salt WST-8 to a water-soluble formazan product by cellular dehydrogenases in metabolically active cells, where the generated formazan amount is proportional to the number of living cells and is quantified by measuring absorbance in the visible range, providing a colorimetric readout for cell viability and proliferation assessment. This class of tetrazolium-based assays improves upon earlier MTT-based systems by producing a water-soluble formazan, eliminating the need for organic solubilization steps and enabling direct spectrophotometric measurement in culture medium.

Cell-cycle analysis by flow cytometry measures DNA content in single cells to estimate the fraction of cells in G0/G1, S, and G2/M phases. Propidium iodide intercalates into DNA, and after RNA removal with RNase, fluorescence intensity reflects cellular DNA content: 2N cells are assigned to G0/G1, cells between 2N and 4N to S phase, and 4N cells to G2/M. DNA-content analysis alone cannot reliably separate G0 from G1 or G2 from M. Ki-67 can distinguish quiescent G0 cells from cycling cells, EdU or BrdU incorporation marks active DNA synthesis in S phase, and phospho-histone H3 staining identifies mitotic cells within the 4N population.

Liver cancer can be classified into primary liver cancer and secondary liver cancer. Secondary liver cancer is the metastatic liver cancer. Primary liver cancer includes hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and fibrolamellar HCC, of which HCC is the most common form, accounting for approximately 90% of primary liver cancers^[1]. HCC mouse models include chemical agent-induced models, transplanted tumor models, and genetic engineered models.

Cell counting-based growth curve assays quantify cell proliferation by directly measuring changes in viable cell number over time using manual or automated counting methods such as hemocytometer-based counting or instrument-assisted cell enumeration, enabling construction of growth curves that reflect population expansion dynamics in response to culture conditions. A widely used approach is trypan blue exclusion with hemocytometer counting, where membrane-compromised (non-viable) cells take up the dye, allowing discrimination between viable and non-viable cells while simultaneously enabling total cell number quantification. Repeated sampling across time points allows estimation of proliferation rate, growth phases, and comparative growth kinetics between experimental conditions.

The clonogenic (colony formation) assay measures the ability of a single cell to retain reproductive viability and form a macroscopic colony, typically defined as a cluster derived from one progenitor cell after a defined growth period. This assay is widely used to evaluate cell survival after exposure to ionizing radiation or cytotoxic treatments and is considered a standard method in radiation biology for generating dose-response relationships of reproductive cell death. Colony formation reflects long-term proliferative capacity rather than short-term metabolic activity, and survival is quantified by comparing treated versus untreated conditions based on colony number and derived survival fractions.

The following protocol uses the MTT colorimetric assay as a classic literature-established method for assessing cell viability/metabolic activity in cultured mammalian cells. MTT[3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] is reduced by metabolically active cells to a colored formazan product; the amount of formazan is quantified spectrophotometrically and provides an indirect measure of metabolically active viable cells. Importantly, MTT reduction reflects cellular oxidoreductase/metabolic activity rather than an absolute direct count of living cells, so changes in cellular metabolism can alter the signal independently of cell number.

The EdU incorporation assay measures DNA synthesis by adding the thymidine analog 5-ethynyl-2′-deoxyuridine to cells or tissues, where it is incorporated into newly synthesized DNA during S phase. Incorporated EdU is detected by copper-catalyzed azide-alkyne cycloaddition, in which a fluorescent azide covalently reacts with the ethynyl group on EdU, allowing S-phase cells to be detected by fluorescence microscopy, flow cytometry, or high-content imaging. EdU detection does not require DNA denaturation or anti-BrdU antibody access, which preserves sample structure and improves compatibility with immunostaining and multiparameter cytometry compared with BrdU-based detection. EdU can be cytotoxic in a cell-type- and exposure-dependent manner, so pulse duration, concentration, and continuous-labeling designs should be validated for each cell type.

Ki-67 immunostaining measures the growth fraction of a cell population by detecting Ki-67, a nuclear antigen present in proliferating cells and absent in quiescent G0 cells. The readout is the percentage of Ki-67-positive nuclei among total counted cells, commonly called the Ki-67 labeling index or proliferation index.

PCNA immunodetection measures proliferative activity by detecting proliferating cell nuclear antigen, a nuclear protein associated with DNA polymerase δ function and DNA replication. The assay readout is the proportion of PCNA-positive nuclei among total counted cells, but PCNA labeling is not identical to BrdU labeling because PCNA can mark late G1/early S-associated replication competence and may persist beyond active DNA synthesis depending on fixation and extraction conditions.

Cell counting and cell-density analysis estimate the number of cells in a known volume or field area. Manual hemocytometer counting uses a chamber of defined geometry to convert counted cells into cells/mL, while automated counters and image-analysis workflows detect cell objects from optical, brightfield, fluorescence, impedance, or digital-image features. Trypan blue viability counting is based on dye exclusion: viable cells with intact membranes exclude dye, while non-viable cells with compromised membranes stain blue. The readout is total cell density, viable-cell density, dead-cell density, and percent viability. Cell density can also be estimated from microscopy images by counting objects per image area, from flow cytometry using calibrated volume or reference particles, or from in situ microscopy in bioreactors after calibration against reference methods such as hemocytometer or flow cytometry.

Patient-derived xenograft (PDX) models are generated by engrafting primary human tumor tissue directly into immunodeficient mice, allowing in vivo propagation of patient tumor biology without initial in vitro adaptation. These models are used to preserve key histopathological and molecular characteristics of the original tumor and enable assessment of tumor growth dynamics and therapeutic response in a living organism. The biological readout is tumor engraftment and subsequent growth in the murine host, which reflects the ability of human tumor cells to survive, vascularize, and expand in an immunocompromised microenvironment.

Soft agar colony formation assay measures anchorage-independent growth, in which transformed or tumorigenic cells proliferate as colonies in a semisolid agar matrix while many non-transformed adherent cells fail to proliferate without attachment; classic studies showed that growth in semisolid medium correlates with tumorigenicity in nude mice, and later protocol papers describe the method as a stringent in vitro assay for malignant transformation. The readout is the number, size, morphology, or signal intensity of colonies formed within agar after incubation; published formats include manual colony counting after staining, 96-well or 384-well quantitative formats, DNA-binding dye detection, MTT/tetrazolium-based detection, digital image analysis, and PCR-based marker detection from soft agar cultures.

The MTT assay is a colorimetric endpoint assay for estimating viable cell number, cell growth, cytotoxicity, or cell activation in cultured mammalian cells. Living cells reduce the yellow tetrazolium salt MTT into purple/blue formazan, while dead cells do not generate the same signal; the resulting color can be quantified with a multiwell spectrophotometer. MTT reduction is commonly interpreted as a readout of metabolic activity that often correlates with viable cell number, but it should not be treated as a direct cell-counting method unless the assay is optimized for the cell type and experimental condition. Studies show that MTT reduction can involve mitochondrial and non-mitochondrial reducing systems, and formazan may accumulate in intracellular lipid droplets rather than simply marking mitochondria.

Subcutaneous cell-line-derived xenograft (CDX) models are established by implanting cultured human cancer cell lines into immunodeficient mice, where the injected cells form localized tumors that can be monitored in vivo as a measure of tumorigenic potential, growth kinetics, and treatment response. These models are widely used in oncology research because they allow reproducible tumor formation and enable comparative assessment of tumor growth between different cell lines or genetic manipulations in a controlled in vivo microenvironment. Subcutaneous implantation of cancer cells in immunodeficient mice is a standard approach for evaluating tumor growth behavior and therapeutic response across multiple cancer types, including prostate, esophageal, pancreatic, and colon cancer models.

Orthotopic cell-line xenograft models involve implantation of human cancer cell lines into the anatomically corresponding organ of immunodeficient mice to reproduce tumor growth within a native microenvironment, enabling more clinically relevant tumor behavior compared with subcutaneous models. These models are widely used because orthotopic placement better recapitulates tumor progression, including invasion and metastatic spread, which are often underrepresented in heterotopic implantation systems. Compared with conventional xenografts, orthotopic implantation is described as more technically complex but provides improved simulation of tumor-microenvironment interactions and metastatic behavior, making it particularly valuable for translational oncology research. Surgical orthotopic implantation approaches have been emphasized as enabling faithful reproduction of clinical cancer features, including metastasis and disease progression patterns that align with the tumor’s organ of origi