The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Laser capture microdissection technology
Abstract
Deciphering the cellular and molecular interactions that drive disease within the tissue microenvironment holds promise for discovering drug targets of the future. In order to recapitulate the in vivo interactions through molecular analysis, one must be able to analyze specific cell populations within the context of their heterogeneous tissue microecology. Laser capture microdissection is a method to procure subpopulations of tissue cells under direct microscopic visualization. Laser capture microdissection technology can harvest the cells of interest directly or can isolate specific cells by cutting away unwanted cells to give histologically pure enriched cell populations. A variety of downstream applications exist: DNA genotyping and loss-of-heterozygosity analysis, RNA transcript profiling, cDNA library generation, mass spectrometry proteomics discovery and signal pathway profiling.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A vision for the future of genomics research
Collins, F. S., Green, E. D., Guttmacher, A. E., Guyer, M. S., & on behalf of the US National Human Genome Research Institute (2003) · Nature · doi:10.1038/nature01626 · Cited by 1,752
Cited by
Aichler, M., & Walch, A. (2015) · Laboratory Investigation · doi:10.1038/labinvest.2014.156 · Cited by 457
Sex differences and sex steroids in lung health and disease
Townsend, E. A., Miller, V. M., & Prakash, Y. S. (2012) · Endocrine Reviews · doi:10.1210/er.2010-0031 · Cited by 395
Single Cell Isolation and Analysis
Hu, P., Zhang, W., Xin, H., & Deng, G. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2016.00116 · Cited by 384
Potential role of miR-9 and miR-223 in recurrent ovarian cancer
Laios, A., O'Toole, S., Flavin, R., Martin, C., Kelly, L., Ring, M., Finn, S. P., Barrett, C., Loda, M., Gleeson, N., et al. (2008) · Molecular Cancer · doi:10.1186/1476-4598-7-35 · Cited by 301
Metadata
- Authors
- Espina, V., Heiby, M., Pierobon, M., & Liotta, L. A.
- Venue
- Expert Review of Molecular Diagnostics
- Publisher
- Informa UK Limited
- Published
- 2007-09
- Volume
- 7
- Issue
- 5
- Pages
- 647-657
- ISSN
- 1473-7159 (ISSN-L)
- 1744-8352
- OpenAlex
- W2167665777
- Cited by
- 191
- References
- 1
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Laser capture microdissection technology. https://app.cochat.ai/papers/10.1586/14737159.7.5.647
- The paper
- Espina, V., Heiby, M., Pierobon, M., & Liotta, L. A. (2007). Laser capture microdissection technology. Expert Review of Molecular Diagnostics. https://doi.org/10.1586/14737159.7.5.647
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.