Related Experiment Video

Updated: Feb 9, 2026

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
12:03

In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

Published on: December 9, 2016

12.9K

Tumor Challenges in Immunotoxicity Testing

Sheung P Ng1, Judith T Zelikoff2

  • 1DuPont Haskell Global Centers for Health Sciences, Newark, DE, USA.

Methods in Molecular Biology (Clifton, N.J.)
|June 9, 2018
PubMed

Insights

Syngeneic murine tumor models, including EL4 lymphoma and B16F10 melanoma cells, are crucial for studying toxicant effects on tumor susceptibility in vivo. Researchers can utilize various mouse strains and injection methods for comprehensive analysis.

Area of Science:

  • Immunology and Cancer Research
  • Toxicology and Pharmacology

Background:

  • Syngeneic murine tumor models are essential tools for investigating how toxicant exposure influences tumor development and host resistance.
  • Commonly employed models include EL4 mouse lymphoma and B16F10 mouse melanoma, typically studied in C57BL/6 mice.

Purpose of the Study:

  • To detail the methodologies for utilizing syngeneic murine tumor models in toxicological studies.
  • To provide a foundation for assessing host resistance and tumor susceptibility following toxicant exposure.

Main Methods:

  • Description of established EL4 (lymphoma) and B16F10 (melanoma) cell lines derived from spontaneous or induced murine tumors.
  • Utilization of syngeneic mouse strains, primarily C57BL/6, with mention of B6C3F1 as an alternative host.
  • Explanation of tumor cell inoculation techniques, including subcutaneous (local tumor) and intravenous (metastasis) injection routes.

Main Results:

  • The abstract does not contain specific experimental results but outlines the established methodologies for tumor model implementation.
  • It serves as a procedural guide for researchers preparing to conduct experiments using these models.

Conclusions:

  • Syngeneic murine tumor models offer a robust platform for evaluating toxicological impacts on cancer susceptibility.
  • Standardized methodologies for cell line usage, host selection, and administration routes are critical for reproducible research outcomes.
Keywords:
B16F10 melanoma cell modelEL4 lymphoma cell modelMurine modelTumor cell modelsTumor challenge

More Related Videos

Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors15:24

Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors

Published on: December 16, 2022

3.9K
Establishment and Analysis of Tumor Slice Explants As a Prerequisite for Diagnostic Testing11:00

Establishment and Analysis of Tumor Slice Explants As a Prerequisite for Diagnostic Testing

Published on: November 29, 2018

14.9K

Related Concept Videos

Testes: Histology01:27

Testes: Histology

A tough, fibrous membrane, the tunica albuginea, covers the testes, extending inward to form fibrous partitions or septa, dividing them into internal compartments called lobules. Each lobule has 1 to 3 tightly coiled seminiferous tubules where sperm production occurs. These tubules merge into a tubular network at the back of the testis, known as the rete testis. It connects to 15 to 20 efferent ductules, leading to the epididymis.
The spermatogenic cells, responsible for producing sperm, are...
3.1K
Complementation Tests00:49

Complementation Tests

A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
6.3K
Significance Testing: Overview01:04

Significance Testing: Overview

Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
12.7K
Testes: Gross Anatomy01:19

Testes: Gross Anatomy

The testes, also known as testicles, are the male gonads. They are housed within the scrotum, a sac-like structure located beneath the penis. The scrotum's primary role is to regulate the temperature of the testes, which is crucial for sperm production.
Each testis is surrounded by the tunica albuginea, a dense connective tissue layer that provides structural support and protection. This layer is covered by an outer serous membrane called the tunica vaginalis, which helps reduce friction...
6.4K
Testing Water Quality01:14

Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
394
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...
27.9K