Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Generation of controllable gradients in cell density.

ABSTRACT: Making the grad(ient): a gradient in cell density was generated on a substrate that was inserted into a homogeneous suspension of cells at a specific tilt angle by taking advantage of the gradual change in the number of cells available for sedimentation. Reverse gradients were also fabricated on the same substrate using multiple sedimentation procedures.

SUBMITTER: Liu W

PROVIDER: S-EPMC3535515 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Generation of controllable gradients in cell density.

Liu Wenying W Zhang Yu Y Thomopoulos Stavros S Xia Younan Y

Angewandte Chemie (International ed. in English) 20120905 1

Making the grad(ient): a gradient in cell density was generated on a substrate that was inserted into a homogeneous suspension of cells at a specific tilt angle by taking advantage of the gradual change in the number of cells available for sedimentation. Reverse gradients were also fabricated on the same substrate using multiple sedimentation procedures. ...[more]

PMID: 22951913

Similar Datasets

Rapid generation of spatially and temporally controllable long-range concentration gradients in a microfluidic device.

Project description: Not available

| S-EPMC2790062 | biostudies-other

Controllable Soluble Protein Concentration Gradients in Hydrogel Networks.

Project description: Not available

| S-EPMC2900850 | biostudies-literature

Density Gradients Separate Dormant and Treatment-Resistant Human Glioblastoma Cells

Project description:Glioblastoma (GBM) is among the most aggressive cancers. Despite aggressive radiotherapy and treatment with the alkylating agent temozolomide (TMZ), patients ultimately succumb to the disease. Although much interest has focused on highly tumorigenic GBM stem cells (GSCs), adaption of a concept from microbial research proposes that a minor population of dormant “persister” cells in cancer evade current therapies. To separate dormant and treatment-resistant tumor cells in human GBM tumorspheres, we have refined density gradient protocols previously used for separation of neurosphere-forming neural stem cells (NSCs). We find that a minor cell population in human GBM tumorsphere cultures and patient-derived tumor biopsies display increased cell density. These high-density GBM cells (HDGCs) display dormancy, variable expression of proposed GSC markers, and 10-100 fold higher levels of reprogramming gene expression compared to low-density GBM cells (LDGCs). Transcriptional profiling data confirmed the slow-cycling state of HDGCs. As a result, HDGCs show decreased tumorsphere formation capacity in vitro and reduced tumorigenicity in vivo. Using tumorspheres and xenografts, we demonstrated that HDGCs show increased treatment-resistance to ionizing radiation (IR) and temozolomide treatment compared to LDGCs. Similar to the NSC lineage, our data suggest that dormant HDGCs become increasingly sensitive to anti-proliferative therapies as they become activated and further differentiate. In conclusion, density gradients represents a marker-independent approach to separate dormant and treatment-resistant tumor cells in human GBMs and other solid cancers.

2016-07-01 | GSE71116 | GEO

Density Gradients Separate Dormant and Treatment-Resistant Human Glioblastoma Cells

Project description:Glioblastoma (GBM) is among the most aggressive cancers. Despite aggressive radiotherapy and treatment with the alkylating agent temozolomide (TMZ), patients ultimately succumb to the disease. Although much interest has focused on highly tumorigenic GBM stem cells (GSCs), adaption of a concept from microbial research proposes that a minor population of dormant âpersisterâ cells in cancer evade current therapies. To separate dormant and treatment-resistant tumor cells in human GBM tumorspheres, we have refined density gradient protocols previously used for separation of neurosphere-forming neural stem cells (NSCs). We find that a minor cell population in human GBM tumorsphere cultures and patient-derived tumor biopsies display increased cell density. These high-density GBM cells (HDGCs) display dormancy, variable expression of proposed GSC markers, and 10-100 fold higher levels of reprogramming gene expression compared to low-density GBM cells (LDGCs). Transcriptional profiling data confirmed the slow-cycling state of HDGCs. As a result, HDGCs show decreased tumorsphere formation capacity in vitro and reduced tumorigenicity in vivo. Using tumorspheres and xenografts, we demonstrated that HDGCs show increased treatment-resistance to ionizing radiation (IR) and temozolomide treatment compared to LDGCs. Similar to the NSC lineage, our data suggest that dormant HDGCs become increasingly sensitive to anti-proliferative therapies as they become activated and further differentiate. In conclusion, density gradients represents a marker-independent approach to separate dormant and treatment-resistant tumor cells in human GBMs and other solid cancers. 12 samples, no replicates, derived from 5 individual patients

2016-07-01 | E-GEOD-71116 | biostudies-arrayexpress

Generation of controllable gaseous H2S concentrations using microfluidics.

Project description: Not available

| S-EPMC6168208 | biostudies-literature

Convection-driven generation of long-range material gradients.

Project description: Not available

| S-EPMC2813888 | biostudies-literature

Extrusion-Based 3D Bioprinting of Gradients of Stiffness, Cell Density, and Immobilized Peptide Using Thermogelling Hydrogels.

Project description: Not available

| S-EPMC8207502 | biostudies-literature

Fractionation of cell-wall preparations from grass leaves by centrifuging in non-aqueous density gradients.

Project description: Not available