Evidence map›Paper›PMID 12169679›Full record

ArticleThe Journal of molecular diagnostics : JMD2002

Multiplex loss of heterozygosity analysis by using single or very few cells.

Xiangfeng Cui, Helen Feiner, Honghua Li

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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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

3 authors at 3 institutions in 1 country.

Xiangfeng CuiDepartment of Molecular Genetics, Microbiology, and Immunology, The Cancer Institute of New Jersey, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Helen Feiner
Honghua Li
Columbia University Irving Medical Center · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · US

Funding

MOLECULAR PATHWAYS TO BREAST CANCERR01CA077363 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LI, HONGHUA · 1998 to 2001
$436k
NCI NIH HHS CA77363
6 · The paper itself

Abstract

Loss of heterozygosity (LOH) is an indication of tumor suppressor gene inactivation. However, loss of heterozygosity analysis has been limited to either a small scale or to very few genetic markers. To significantly increase the scale of study and to include a large number of markers in the analysis, experimental conditions were established for using single cells or single cell equivalent with 10 markers typed simultaneously. Under these conditions, the allele amplification failure rate was 3.7% when single tissue cultured human cells were used. When 30 cells from a 5- micro m paraffin-archived breast tumor tissue section were used, the failure rates were 0% for four of the five heterozygous loci and 10% for the fifth. Small amplification failure rates (6.1% and 6.7% on average) were observed when 5 or 10 cells from paraffin-archived breast tissue were used. These results indicate that with polymerase chain reaction (PCR) primers of high quality, it is possible to obtain reliable results by using single cells from fresh tissue or very few cells from paraffin-archived specimens. The results also show the importance of including replicates, using primers of high quality, and optimizing PCR conditions when a limited amount of material is used for the assay. The feasibility of LOH analysis with very few paraffin-embedded breast cancer tissues was demonstrated.

Indexed as

Loss of HeterozygosityBase SequenceCell LineDNA PrimersGenetic MarkersGenotypeHumansParaffin EmbeddingPolymerase Chain ReactionDNA PrimersGenetic Markers

Identifiers

PMID12169679
PMCPMC1906978
OpenAlexW1992399186

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.