ArticlePloS one2012
High-resolution transcriptome of human macrophages.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers.
What it found
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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.
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Who cites it
180 citing papers in PubMed, 269 citations in OpenAlex.
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- Tissue-Specific Immunosuppressive and Proliferating Macrophages Fuel Early Metastatic Progression of Human Colorectal Cancer to the Liver.Cancer immunology research · 2025Article
- Role of Colony Stimulating Factor 1 (CSF-1) and Its Receptor CSF1R: Macrophage Repolarization for Glioblastoma Treatment.ACS pharmacology & translational science · 2025Review
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- Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma.Cell reports. Medicine · 2025Article
- Beyond CTLA-4 and PD-1: Novel Insights into MAO-A as a Next Generation Immune Checkpoint Modulator for Cancer Immunotherapy.Current cancer drug targets · 2025Review
- Developing anFrontiers in immunology · 2025Article
- The HDAC6 inhibitor AVS100 (SS208) induces a pro-inflammatory tumor microenvironment and potentiates immunotherapy.Science advances · 2024Article
- Exploring the hub Genes and Potential Mechanisms of Complement system-related Genes in Parkinson Disease: Based on Transcriptome Sequencing and Mendelian Randomization.Journal of molecular neuroscience : MN · 2024Article
- "Find Me" and "Eat Me" signals: tools to drive phagocytic processes for modulating antitumor immunity.Cancer communications (London, England) · 2024Review
- Causal role of immune cells on cervical cancer onset revealed by two-sample Mendelian randomization study.Scientific reports · 2024Article
- Stimulus-response signaling dynamics characterize macrophage polarization states.Cell systems · 2024Article
120 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Macrophages are dynamic cells integrating signals from their microenvironment to develop specific functional responses. Although, microarray-based transcriptional profiling has established transcriptional reprogramming as an important mechanism for signal integration and cell function of macrophages, current knowledge on transcriptional regulation of human macrophages is far from complete. To discover novel marker genes, an area of great need particularly in human macrophage biology but also to generate a much more thorough transcriptome of human M1- and M1-like macrophages, we performed RNA sequencing (RNA-seq) of human macrophages. Using this approach we can now provide a high-resolution transcriptome profile of human macrophages under classical (M1-like) and alternative (M2-like) polarization conditions and demonstrate a dynamic range exceeding observations obtained by previous technologies, resulting in a more comprehensive understanding of the transcriptome of human macrophages. Using this approach, we identify important gene clusters so far not appreciated by standard microarray techniques. In addition, we were able to detect differential promoter usage, alternative transcription start sites, and different coding sequences for 57 gene loci in human macrophages. Moreover, this approach led to the identification of novel M1-associated (CD120b, TLR2, SLAMF7) as well as M2-associated (CD1a, CD1b, CD93, CD226) cell surface markers. Taken together, these data support that high-resolution transcriptome profiling of human macrophages by RNA-seq leads to a better understanding of macrophage function and will form the basis for a better characterization of macrophages in human health and disease.
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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.