T-all Models
T-all Models - Related Videos
06:48
Fluorescent Orthotopic Mouse Model of Pancreatic Cancer
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Cited by 5 •
2016
A procedure to implant green fluorescent protein-expressing pancreatic cancer cells (PANC-1 GFP) orthotopically into the pancreas of Balb-c Ola Hsd-Fox1nu mice to assess tumor progression and metastasis is presented here.
05:43
Protocol for Developing a Femur Osteotomy Model in Wistar Albino Rats
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2022
Here, we present a protocol to iatrogenically fracture the shaft of the femur of Wistar albino rats and follow up on the development of the callus. This femur osteotomy model can help researchers evaluate the process of fracture healing and to study how a drug could influence fracture healing.
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Cited by 7 •
2012
This work demonstrates an integration of a water quality model with an optimization component utilizing evolutionary algorithms to solve for optimal (lowest-cost) placement of agricultural conservation practices for a specified set of water quality improvement objectives. The solutions are generated using a multi-objective approach, allowing for explicit quantification of tradeoffs.
12:31
In Vivo Modeling of the Morbid Human Genome using Danio rerio
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Cited by 66 •
2013
Here, we present a systematic approach for developing physiologically relevant, sensitive and specific in vivo assays for interpreting variation in human pathology. Transient genetic manipulation via microinjection of WT and mutant human mRNA and morpholino (MO) antisense oligonucleotides harness the tractability of the developing zebrafish embryo to rapidly assay pathogenic mutations, especially, but not exclusively, in the context of human developmental disorders.
07:57
Scaled Anatomical Model Creation of Biomedical Tomographic Imaging Data and Associated Labels for Subsequent Sub-surface Laser Engraving (SSLE) of Glass Crystals
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2017
A methodology is described herein for representing anatomical imaging data within crystals. We create scaled three-dimensional models of biomedical imaging data for use in Sub-Surface Laser Engraving (SSLE) of crystal glass. This tool offers a useful complement to computational display or three-dimensionally printed models used within clinical or educational settings.
FAQs
These systems can be used to investigate how altered signaling and genetic programs affect immature T-cell behavior. In particular, they allow researchers to connect molecular changes with uncontrolled proliferation, impaired differentiation, enhanced survival, and disease progression. Examining these linked processes helps clarify how abnormal developmental programs contribute to leukemia biology and provides a basis for identifying potential therapeutic vulnerabilities.
T-all Models provide experimental settings in which researchers can examine effects at multiple biological levels. Genetically altered or patient-derived cells can reveal how molecular programs influence cellular behavior, while broader model systems can show organism-level consequences. This connection helps investigators relate specific alterations to proliferation, survival, progression, treatment response, and other measurable features of the disease.
These model types represent complementary experimental systems rather than interchangeable tools. Leukemia cell lines, patient-derived cells, and genetically engineered cells support controlled investigation of cellular and molecular mechanisms. Animal models extend analysis to organism-level outcomes. Using several systems allows researchers to compare findings across experimental contexts and assess whether observations about signaling, disease progression, or treatment response remain consistent.
Selection depends on the biological or therapeutic question being tested. Researchers may choose a cellular system to study altered signaling, genetic programs, proliferation, differentiation, or survival under controlled conditions. They may use a broader model when examining disease progression or organism-level treatment effects. Matching the model to the question helps produce interpretable evidence about leukemia mechanisms and candidate therapies.
These systems can support evaluation of treatment response and drug resistance, as well as testing of candidate therapies. Researchers can examine how leukemia-associated cellular and genetic programs influence outcomes under controlled experimental conditions. The resulting data may reveal therapeutic vulnerabilities and help determine whether a treatment merits further investigation, while also highlighting mechanisms that could limit its effectiveness.
They help bridge molecular observations and treatment-relevant outcomes in T-cell acute lymphoblastic leukemia research. By testing how altered signaling and genetic programs affect disease behavior and responses to candidate therapies, investigators can identify vulnerabilities linked to particular biological features. This evidence supports the development of more precise treatment approaches and improves understanding of why responses or resistance may occur.