Evidence map›Paper›PMID 36990152›Full record

ArticleLaboratory investigation; a journal of technical methods and pathology2023

Expression Microdissection for the Analysis of miRNA in a Single-Cell Type.

Ana E Jenike, Brady Bunkelman, Kira A Perzel Mandell, Cliff I Oduor, Deborah Chin, Devin Mair, Katharine M Jenike, Deok-Ho Kim, Jeffrey A Bailey, Miriam H Rafailovich and 2 more

Abstract read
In one paragraph

Article in Laboratory investigation; a journal of technical methods and pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Ana E JenikeDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Brady BunkelmanDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kira A Perzel MandellDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Cliff I OduorDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Deborah ChinDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Devin MairDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Katharine M JenikeDepartment of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Deok-Ho KimDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jeffrey A BaileyDepartment of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island.
Miriam H RafailovichDepartment of Materials Science and Chemical Engineering, Stony Brook University, Stony Brook, New York.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Marc K HalushkaDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: mhalush1@jhmi.edu.

Funding

Fine Dissection of Atherosclerosis Microenvironment RNA ExpressionR01HL137811 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HALUSHKA, MARC K · 2017 to 2020
$2.4M
xMD-miRNA-Seq estimates cell-specific miRNA expressionR01GM130564 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HALUSHKA, MARC K · 2018 to 2021
$1.2M
NHLBI NIH HHS R01 HL137811NIGMS NIH HHS R01 GM130564
6 · The paper itself

Abstract

Cell-specific microRNA (miRNA) expression estimates are important in characterizing the localization of miRNA signaling within tissues. Much of these data are obtained from cultured cells, a process known to significantly alter miRNA expression levels. Thus, our knowledge of in vivo cell miRNA expression estimates is poor. We previously demonstrated expression microdissection-miRNA-sequencing (xMD-miRNA-seq) to acquire in vivo estimates, directly from formalin-fixed tissues, albeit with a limited yield. In this study, we optimized each step of the xMD process, including tissue retrieval, tissue transfer, film preparation, and RNA isolation, to increase RNA yields and ultimately show strong enrichment for in vivo miRNA expression by qPCR array. These method improvements, such as the development of a noncrosslinked ethylene vinyl acetate membrane, resulted in a 23- to 45-fold increase in miRNA yield, depending on the cell type. By qPCR, miR-200a increased by 14-fold in xMD-derived small intestine epithelial cells, with a concurrent 336-fold reduction in miR-143 relative to the matched nondissected duodenal tissue. xMD is now an optimized method to obtain robust in vivo miRNA expression estimates from cells. xMD will allow formalin-fixed tissues from surgical pathology archives to make theragnostic biomarker discoveries.

Indexed as

MicroRNAsEpithelial CellsFormaldehydeGene Expression ProfilingMicrodissectionFormaldehydeMicroRNAsmethodsmicroRNAtissue dissection

Identifiers

PMID36990152
PMCPMC10524025

What OpenQuestion holds

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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.