ArticleJournal of immunological methods2013
Isolation of microarray-quality RNA from primary human cells after intracellular immunostaining and fluorescence-activated cell sorting.
Article in Journal of immunological methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics.Antibodies (Basel, Switzerland) · 2025Article
- Regulation of KLRC and Ceacam gene expression by miR-141 supports cell proliferation and metastasis in cervical cancer cells.BMC cancer · 2024Article
- MicroRNA-141-regulated KLK10 and TNFSF-15 gene expression in hepatoblastoma cells as a novel mechanism in liver carcinogenesis.Scientific reports · 2024Article
- An In Vitro System to Model the Establishment and Reactivation of HIV-1 Latency in Primary Human CD4+ T Cells.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Transcriptional Profiling of CD8+ CMV-Specific T Cell Functional Subsets Obtained Using a Modified Method for Isolating High-Quality RNA From Fixed and Permeabilized Cells.Frontiers in immunology · 2020Article
- Isolation of intact RNA from murine CD4Journal of immunological methods · 2018Article
- Biobanking strategy and sample preprocessing for integrative research in monoclonal gammopathies.Journal of clinical pathology · 2017Article
- Article
- Strategies for targeting primate neural circuits with viral vectors.Journal of neurophysiology · 2016Review
- High levels of CD2 expression identify HIV-1 latently infected resting memory CD4+ T cells in virally suppressed subjects.Journal of virology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Microarrays have made it possible to perform high-throughput, genome-wide analyses of RNA expression from an extremely wide range of sources. This technology relies on the ability to obtain RNA of sufficient quantity and quality for this type of application. While there are means to circumvent limitations in the former, recovery of RNA suitable for microarray analysis still represents a major issue when working with some biological samples, particularly those treated with and preserved in nucleic acid-modifying organic reagents. In the present report we describe a procedure for the isolation of RNA suitable for microarray analysis from cells purified by fluorescence-activated cell sorting after fixation, permeabilization and intracellular staining with fluorochrome-conjugated antibodies. We show that - although the RNA isolated from these samples presented some degradation - it performed remarkably well in microarray analysis. The method we describe here makes it available to genome-wide expression profiling a variety of biological samples that so far were confined to single-gene analysis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.