Evidence map›Paper›PMID 29402936›Full record

ArticleScientific reports2018

Microscale Gene Expression Analysis of Tumor-Associated Macrophages.

Kuldeep S Attri, Kamiya Mehla, Surendra K Shukla, Pankaj K Singh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
0.7field-weighted citation impact, top 33% 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.

  1. Article
  2. Article
  3. The MUC1-HIF-1α signaling axis regulates pancreatic cancer pathogenesis through polyamine metabolism remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.Computational and mathematical methods in medicine · 2022
    Article
  6. 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

4 authors at 1 institution in 1 country.

Kuldeep S AttriThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Kamiya MehlaThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Surendra K ShuklaThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Pankaj K SinghThe Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA. pankaj.singh@unmc.edu.
University of Nebraska Medical Center · US

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Joann B. Sweasy · 1985 to 2026
$55.0M
Tissue CoreP50CA127297 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI HOLLINGSWORTH, MICHAEL A. · 2008 to 2018
$17.1M
Targeting Tumor-Stromal Metabolic Cross-Talk in Pancreatic CancerR01CA163649 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Pankaj Kumar Singh · 2012 to 2026
$5.4M
Metabolic Regulation of Tumor Progression, Metastasis and Chemoresistance by SIRT5/ELK3 signaling in Pancreatic CancerR01CA216853 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SINGH, PANKAJ KUMAR · 2017 to 2021
$2.6M
Targeting the Metabolic Basis of Cachexia in Pancreatic CancerR01CA210439 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI SINGH, PANKAJ KUMAR · 2017 to 2021
$2.6M
NCI NIH HHS P30 CA036727NCI NIH HHS P50 CA127297NCI NIH HHS R01 CA163649NCI NIH HHS R01 CA210439NCI NIH HHS R01 CA216853
6 · The paper itself

Abstract

Macrophages, apart from being the key effector cells of the innate immune system, also play critical roles during the development and progression of various complex diseases, including cancer. Tumor-associated macrophages, infiltrate tumors during different stages of cancer progression to regulate motility, invasion, and intravasation to metastatic sites. Macrophages can exist in different polarization states associated with unique function in tumors. Since tumor-associated macrophages constitute a very small proportion of tumor cells, analysis of gene expression pattern using normal extraction buffer-based methods remains a challenging task. Therefore, it is imperative to develop low-throughput strategies to investigate transcriptional regulations from a small number of immune cells. Here, we describe an efficient, sensitive, and cost-effective approach for gene expression analysis of a small number of fluorescence-activated sorted tumor-associated macrophages. Our analyses from the different number of stable, primary, and sorted macrophages suggest 5,000 cells is an optimal number for performing quantitative, real-time PCR analysis of multiple genes. Our studies could detect expression of macrophage-specific genes from cultured primary macrophages, and FACS-sorted macrophages from different biological tissues without introducing biases in comparative gene expression ratios. In conclusion, our kit-based method for quantitative gene expression analysis from a small number of cells found in biological tissues will provide an opportunity to study cell-specific, transcriptional changes.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsCell CountCell SeparationFemaleFlow CytometryGene Expression ProfilingHumansMacrophagesMiceMice, Inbred C57BLNeoplasm ProteinsNeoplasm TransplantationPancreatic NeoplasmsReal-Time Polymerase Chain ReactionU937 CellsNeoplasm Proteins

Identifiers

PMID29402936
PMCPMC5799305
OpenAlexW2806176286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.