Evidence map›Paper›PMID 17697744›Full record

ArticleExperimental hematology2007

A novel high throughput immunomagnetic cell sorting system for potential clinical scale depletion of T cells for allogeneic stem cell transplantation.

Xiaodong Tong, Ying Xiong, Maciej Zborowski, Sherif S Farag, Jeffrey J Chalmers

Open access · greenAbstract read
In one paragraph

Article in Experimental hematology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Fundamentals and application of magnetic particles in cell isolation and enrichment: a review.Reports on progress in physics. Physical Society (Great Britain) · 2015
    Review
  5. Review
  6. Article
  7. Emerging technologies for CTC detection based on depletion of normal cells.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2012
    Review
  8. Article
  9. Article
  10. Article
  11. Quadrupole magnetic sorting of porcine islets of Langerhans.Tissue engineering. Part C, Methods · 2009
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Xiaodong TongDepartment of Chemical and Biomolecular Engineering, The Ohio State University, Columbus Ohio, USA.
Ying Xiong
Maciej Zborowski
Sherif S Farag
Jeffrey J Chalmers
The Ohio State University · USCleveland Clinic · USIndiana University School of Medicine

Funding

Magnetophoretic Cell Sorting and AnalysisR01CA062349 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI ZBOROWSKI, MACIEJ · 1994 to 2015
$5.5M
QMS Technology to Deplete T Cell AlloreactivityR01AI056318 · NIAID · OHIO STATE UNIVERSITY · PI FARAG, SHERIF S · 2004 to 2008
$3.0M
High Performance Magnetic Cell SortingR01CA097391 · NCI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN · 2003 to 2006
$2.1M
NCI NIH HHS R01 CA062349NCI NIH HHS R01 CA097391NCI NIH HHS R01 CA62349NCI NIH HHS R01 CA97391-01A1NIAID NIH HHS R01 AI056318
6 · The paper itself

Abstract

objectiveTo develop an immunomagnetic cell separation system for allogeneic hematopoietic stem cell (HSC) transplantations, which can achieve a high level of T-cell depletion (at least 4.0 log(10)), high level of recovery of hematopoietic stem cells (>90%), with a high throughput (>10(6) cells/second).

methodsPeripheral blood leukocytes (PBLs) from buffy coats were spiked with CD34-expressing cells (KG1a) to mimic a leukaphoresis product containing stimulated HSCs. T cells were labeled with anti-CD3(+) Dynabeads and separated in a quadrupole magnetic cell sorter (QMS). The performance of the system with respect to T-cell depletion and recovery of non-T cells and spiked KG1a was determined using four-color, flow cytometry analysis, with the aid of Trucount cell-concentration calibration beads. Limiting dilution assays were also performed to quantify the log(10) depletion of clonable T cells.

resultsWhile the general performance of the QMS system is governed by proven theoretical principles, significant system variability exist, not all of which can be explained by our current understanding. Consequently, a factorial design was employed, guided by JMP software, to optimize the labeling conditions and operation of the QMS focused on maximizing the depletion of T cell, and recovery of unlabeled cells including KG1a cells. From these studies, an optimized, no wash, immunomagnetic labeling protocol and optimized QMS operating conditions were developed. For an average initial cell concentration of 1.7 x 10(8) total cells, an average 3.96 +/- 0.33 log(10) depletion (range, 3.53-4.34) of CD3(+)CD45(+) cells with a mean 99.43% +/- 4.23% recovery of CD34(+)CD45(+) cells (range, 94.38-104.90%) was achieved at a sorting speed of 10(6) cells/s (n = 6). Limiting dilution assays on the T-cell depleted fractions, which gave a log(10) depletion of 3.51 for the clonable T cells.

conclusionWe suggest that this system will provide superior performance with respect to T-cell depletion and CD34(+) recovery for clinical allogeneic bone marrow transplants. Ongoing studies, on a clinical scale, are being conducted to demonstrate this claim.

Indexed as

Immunomagnetic SeparationLymphocyte DepletionPeripheral Blood Stem Cell TransplantationAntigens, CD34CD3 ComplexFlow CytometryHematopoietic Stem CellsHumansIsoantigensLeukocyte Common AntigensLeukocytesReference StandardsReproducibility of ResultsTransplantation, HomologousAntigens, CD34CD3 ComplexIsoantigensKg, red cell antigenLeukocyte Common AntigensPTPRC protein, human

Identifiers

PMID17697744
PMCPMC2094009
OpenAlexW2085070912

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.