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Whole genome amplification and de novo assembly of single bacterial cells.Institutional shared resources and translational cancer researchUse of Flow Cytometry in Clinical PracticeIntegrating cancer genomic data into electronic health recordsThe intersection of flow cytometry with microfluidics and microfabricationReliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up.Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.Laser-guidance based detection of cells with single-gene modificationDigital cell quantification identifies global immune cell dynamics during influenza infectionLaser-guidance based cell detection for identifying malignant cancerous cells without any fluorescent markers.Cloning of Plasmodium falciparum by single-cell sorting.Flow cytometry-assisted purification and proteomic analysis of the corticotropes dense-core secretory granulesDeep clonal profiling of formalin fixed paraffin embedded clinical samplesLaser guidance-based cell detection in a microfluidic biochip.Pilot study to investigate the possibility of cytogenetic and physiological changes in bio-electrosprayed human lymphocyte cells.Advancing a clinically relevant perspective of the clonal nature of cancerRare cell separation and analysis by magnetic sortingWhen Medicine Meets Engineering-Paradigm Shifts in Diagnostics and TherapeuticsGenomic amplification of 9p24.1 targeting JAK2, PD-L1, and PD-L2 is enriched in high-risk triple negative breast cancer.Clonal evolution and therapeutic resistance in solid tumors.Role of memory T cell subsets for adoptive immunotherapy.Host proteome research in HIV infection.Models at the single cell level.Circulating tumor cells: a review of present methods and the need to identify heterogeneous phenotypes.Advances in Isolation Methods for Spermatogonial Stem Cells.Cell separation: Potentials and pitfalls.Generation of Recombinant Human IgG Monoclonal Antibodies from Immortalized Sorted B Cells.A neural network model for cell classification based on single-cell biomechanical properties.Establish a flow cytometric method for quantitative detection of Beclin-1 expression.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Flow cytometry and cell sorting.
@ast
Flow cytometry and cell sorting.
@en
type
label
Flow cytometry and cell sorting.
@ast
Flow cytometry and cell sorting.
@en
prefLabel
Flow cytometry and cell sorting.
@ast
Flow cytometry and cell sorting.
@en
P356
P1476
Flow cytometry and cell sorting.
@en
P2093
Ger van den Engh
Sherrif F Ibrahim
P356
10.1007/10_2007_073
P577
2007-01-01T00:00:00Z