Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23940600.fastq.gz | Fastqsanger.gz | |||
| SRR23940700_1.fastq.gz | Fastqsanger.gz | |||
| SRR23940700_2.fastq.gz | Fastqsanger.gz | |||
| SRR23940601.fastq.gz | Fastqsanger.gz | |||
| SRR23940701_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 209 |
Similar Datasets
Project description:We cultured bone marrow derived dendritic cells from WT and CD11c KO mice. Then, a group of bone marrow dendritic cells were stimulated with LPS overnight. We obtained bone marrow derived dendritic cells with or without LPS stimulation and analyzed proteomics profiles.
2024-01-26 | PXD048907 |
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000793 | BioModels
Project description:The paper describes a model of tumor invasion to bone marrow.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
Modeling invasion of metastasizing cancer cells to bone marrow utilizing ecological principles
Kun-Wan Chen, Kenneth J Pienta
Theoretical Biology and Medical Modelling 2011, 8:36
Abstract:
Background: The invasion of a new species into an established ecosystem can be directly compared to the steps involved in cancer metastasis. Cancer must grow in a primary site, extravasate and survive in the circulation to then intravasate into target organ (invasive species survival in transport). Cancer cells often lay dormant at their metastatic site for a long period of time (lag period for invasive species) before proliferating (invasive spread). Proliferation in the new site has an impact on the target organ microenvironment (ecological impact) and eventually the human host (biosphere impact).
Results: Tilman has described mathematical equations for the competition between invasive species in a structured habitat. These equations were adapted to study the invasion of cancer cells into the bone marrow microenvironment as a structured habitat. A large proportion of solid tumor metastases are bone metastases, known to usurp hematopoietic stem cells (HSC) homing pathways to establish footholds in the bone marrow. This required accounting for the fact that this is the natural home of hematopoietic stem cells and that they already occupy this structured space. The adapted Tilman model of invasion dynamics is especially valuable for modeling the lag period or dormancy of cancer cells.
Conclusions: The Tilman equations for modeling the invasion of two species into a defined space have been modified to study the invasion of cancer cells into the bone marrow microenvironment. These modified equations allow a more flexible way to model the space competition between the two cell species. The ability to model initial density, metastatic seeding into the bone marrow and growth once the cells are present, and movement of cells out of the bone marrow niche and apoptosis of cells are all aspects of the adapted equations. These equations are currently being applied to clinical data sets for verification and further refinement of the models.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models .
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide.
Please refer to CC0 Public Domain Dedication for more information.
2024-09-02 | BIOMD0000000795 | BioModels
Project description:This data set consists of pediatric acute lymphoblastic leukemia (ALL) primary bone marrow biopsies from the BC Children's Hospital BioBank, pediatric ALL cell lines, non-cancer bone marrow biopsies, and few ALL PDX. All files are DIA and searched by Spectronaut with a spectral library.
2023-01-05 | MSV000091012 | MassIVE
Project description:RATIONALE: Radiation therapy uses high-energy x-rays to damage cancer cells. Drugs used in chemotherapy use different ways to stop cancer cells from dividing so they stop growing or die. Combining chemotherapy with bone marrow transplantation may allow the doctor to give higher doses of chemotherapy drugs and kill more tumor cells.
PURPOSE: Phase II trial to study the effectiveness of bone marrow transplantation in treating patients who have hematologic cancer.
| 2004880 | ecrin-mdr-crc
Project description:Serum samples from multiple myeloma (MM) patients are collected regularly for conventional tests to quantify the M-protein longitudinally. However, the limited sensitivity of conventional tests makes quantification of minimal residual disease (MRD) difficult. MRD can be quantified with highly sensitive molecular techniques on bone marrow, but bone marrow procedures are invasive and cannot be performed regularly. In this study, we introduce highly sensitive targeted mass spectrometry (MS-MRD) to quantify M-protein from patient serum. Therefore, we can follow each patient’s course of disease and dynamically measure MRD.
2023-02-27 | PXD038370 | panorama
Project description:RNA-seq of CD11bhiLy6ChiLy6Glo bone marrow cells and CD11bmidLy6CmidLy6Glo bone marrow cells against CD11bloLy6CloLy6Glo bone marrow cells
| PRJEB37925 | ENA