ArticleBMC genomics2017
The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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
10 citing papers in PubMed, 25 citations in OpenAlex.
- Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulation.Communications biology · 2022Article
- Replication-competent HIV-1 in human alveolar macrophages and monocytes despite nucleotide pools with elevated dUTP.Retrovirology · 2022Article
- See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity.Communications biology · 2022Article
- Temporal TGF-β Supergene Family Signalling Cues Modulating Tissue Morphogenesis: Chondrogenesis within a Muscle Tissue Model?International journal of molecular sciences · 2020Article
- One too many: the surprising heterogeneity of Drosophila macrophages.The EMBO journal · 2020Article
- Article
- Biomaterials-Mediated Regulation of Macrophage Cell Fate.Frontiers in bioengineering and biotechnology · 2020Review
- Concise Review: Modeling Neurodegenerative Diseases with Human Pluripotent Stem Cell-Derived Microglia.Stem cells (Dayton, Ohio) · 2019Review
- The impact of single-cell RNA sequencing on understanding the functional organization of the immune system.Briefings in functional genomics · 2018Review
- Systems Immunology: Learning the Rules of the Immune System.Annual review of immunology · 2018Review
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundSingle-cell RNA-Seq can be a valuable and unbiased tool to dissect cellular heterogeneity, despite the transcriptome's limitations in describing higher functional phenotypes and protein events. Perhaps the most important shortfall with transcriptomic 'snapshots' of cell populations is that they risk being descriptive, only cataloging heterogeneity at one point in time, and without microenvironmental context. Studying the genetic ('nature') and environmental ('nurture') modifiers of heterogeneity, and how cell population dynamics unfold over time in response to these modifiers is key when studying highly plastic cells such as macrophages.
resultsWe introduce the programmable Polaris™ microfluidic lab-on-chip for single-cell sequencing, which performs live-cell imaging while controlling for the culture microenvironment of each cell. Using gene-edited macrophages we demonstrate how previously unappreciated knockout effects of SAMHD1, such as an altered oxidative stress response, have a large paracrine signaling component. Furthermore, we demonstrate single-cell pathway enrichments for cell cycle arrest and APOBEC3G degradation, both associated with the oxidative stress response and altered proteostasis. Interestingly, SAMHD1 and APOBEC3G are both HIV-1 inhibitors ('restriction factors'), with no known co-regulation.
conclusionAs single-cell methods continue to mature, so will the ability to move beyond simple 'snapshots' of cell populations towards studying the determinants of population dynamics. By combining single-cell culture, live-cell imaging, and single-cell sequencing, we have demonstrated the ability to study cell phenotypes and microenvironmental influences. It's these microenvironmental components - ignored by standard single-cell workflows - that likely determine how macrophages, for example, react to inflammation and form treatment resistant HIV reservoirs.
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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.