Evidence map›Paper›PMID 27583412›Full record

ArticleJournal of visualized experiments : JoVE2016

Reliable and High Efficiency Extraction of Kidney Immune Cells.

Ravi Nistala, Alex Meuth, Cassandra Smith, Aroor Annayya

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Ravi NistalaDivision of Nephrology, Department of Medicine, University of Missouri-Columbia and Harry S Truman Memorial Veteran's Hospital; nistalar@health.missouri.edu.
Alex MeuthDivision of Biomedical Sciences, Department of Medicine, University of Missouri-Columbia and Harry S Truman Memorial Veteran's Hospital.
Cassandra SmithDivision of Endocrinology, Department of Medicine, University of Missouri-Columbia and Harry S Truman Memorial Veteran's Hospital.
Aroor AnnayyaDivision of Endocrinology, Department of Medicine, University of Missouri-Columbia and Harry S Truman Memorial Veteran's Hospital.
Harry S. Truman Memorial Veterans' Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune system activation occurs in multiple kidney diseases and pathophysiological processes. The immune system consists of both adaptive and innate components and multiple cell types. Sometimes, the cell type of interest is present in very low numbers among the large numbers of total cells isolated from the kidney. Hence, reliable and efficient isolation of kidney mononuclear cell populations is important in order to study the immunological problems associated with kidney diseases. Traditionally, tissue isolation of kidney mononuclear cells have been performed via enzymatic digestions using different varieties and strengths of collagenases/DNAses yielding varying numbers of viable immune cells. Recently, with the development of the mechanical tissue disruptors for single cell isolation, the collagenase digestion step is avoided and replaced by a simple mechanical disruption of the kidneys after extraction from the mouse. Herein, we demonstrate a simple yet efficient method for the isolation of kidney mononuclear cells for every day immune cell extractions. We further demonstrate an example of subset analysis of immune cells in the kidney. Importantly, this technique can be adapted to other soft and non-fibrous tissues such as the liver and brain.

Indexed as

AnimalsBiomarkersCell SeparationCentrifugation, Density GradientFlow CytometryImmune SystemImmunohistochemistryKidneyMacrophagesMaleMiceMice, Inbred C57BLReproducibility of ResultsT-Lymphocyte SubsetsBiomarkers

Identifiers

PMID27583412
PMCPMC5091940
OpenAlexW2515056908

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.