Evidence map›Paper›PMID 28109958›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2017

Optical Barcoding for Single-Clone Tracking to Study Tumor Heterogeneity.

Malte Mohme, Cecile L Maire, Kristoffer Riecken, Svenja Zapf, Tim Aranyossy, Manfred Westphal, Katrin Lamszus, Boris Fehse

Open access · hybridAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 45 citations in OpenAlex.

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  9. Clonal tracking in cancer and metastasis.Cancer metastasis reviews · 2024
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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

8 authors at 2 institutions in 1 country.

Malte MohmeLaboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Cecile L MaireLaboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Kristoffer RieckenResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Svenja ZapfLaboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Tim AranyossyResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Manfred WestphalLaboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
Katrin LamszusLaboratory for Brain Tumor Biology, Department of Neurosurgery, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. Electronic address: lamszus@uke.de.
Boris FehseResearch Department Cell and Gene Therapy, Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany. Electronic address: fehse@uke.de.
University Medical Center Hamburg-Eppendorf · DEUniversität Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intratumoral heterogeneity has been identified as one of the strongest drivers of treatment resistance and tumor recurrence. Therefore, investigating the complex clonal architecture of tumors over time has become a major challenge in cancer research. We developed a new fluorescent "optical barcoding" technique that allows fast tracking, identification, and quantification of live cell clones in vitro and in vivo using flow cytometry (FC). We optically barcoded two cell lines derived from malignant glioma, an exemplary heterogeneous brain tumor. In agreement with mathematical combinatorics, we demonstrate that up to 41 clones can unambiguously be marked using six fluorescent proteins and a maximum of three colors per clone. We show that optical barcoding facilitates sensitive, precise, rapid, and inexpensive analysis of clonal composition kinetics of heterogeneous cell populations by FC. We further assessed the quantitative contribution of multiple clones to glioblastoma growth in vivo and we highlight the potential to recover individual viable cell clones by fluorescence-activated cell sorting. In summary, we demonstrate that optical barcoding is a powerful technique for clonal cell tracking in vitro and in vivo, rendering this approach a potent tool for studying the heterogeneity of complex tissues, in particular, cancer.

Indexed as

Clonal EvolutionCell LineCell TrackingFlow CytometryFluorescent DyesGene OrderGenetic VectorsHumansLentivirusNeoplasmsReproducibility of ResultsSensitivity and SpecificityStaining and LabelingFluorescent Dyesbarcodingclonal trackingflow cytometryfluorescent labelinggliomainvasionin vivoLeGO vectorsmouse modeltumor heterogeneity

Identifiers

PMID28109958
PMCPMC5363186
OpenAlexW2578497428

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.