53
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Human and mouse single-nucleus transcriptomics reveal TREM2-dependent and - independent cellular responses in Alzheimer’s disease

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Glia have been implicated in Alzheimer’s disease (AD) pathogenesis. Variants of the microglia receptor TREM2 increase AD risk and activation of “disease-associated microglia” (DAM) is dependent on TREM2 in mouse models of AD. We surveyed gene expression changes associated with AD pathology and TREM2 in 5XFAD mice and human AD by snRNA-seq. We confirmed the presence of Trem2-dependent DAM and identified a novel Serpina3n + C4b + reactive oligodendrocyte population in mice. Interestingly, remarkably different glial phenotypes were evident in human AD. Microglia signature was reminiscent of IRF8-driven reactive microglia in peripheral nerve injury. Oligodendrocyte signatures suggested impaired axonal myelination and metabolic adaptation to neuronal degeneration. Astrocyte profiles indicated weakened metabolic coordination with neurons. Notably, the reactive phenotype of microglia was less palpable in TREM2 R47H and R62H carriers than in non-carriers, demonstrating a TREM2 requirement in both mouse and human AD, despite the marked species-specific differences.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          Direct multiplexed measurement of gene expression with color-coded probe pairs.

          We describe a technology, the NanoString nCounter gene expression system, which captures and counts individual mRNA transcripts. Advantages over existing platforms include direct measurement of mRNA expression levels without enzymatic reactions or bias, sensitivity coupled with high multiplex capability, and digital readout. Experiments performed on 509 human genes yielded a replicate correlation coefficient of 0.999, a detection limit between 0.1 fM and 0.5 fM, and a linear dynamic range of over 500-fold. Comparison of the NanoString nCounter gene expression system with microarrays and TaqMan PCR demonstrated that the nCounter system is more sensitive than microarrays and similar in sensitivity to real-time PCR. Finally, a comparison of transcript levels for 21 genes across seven samples measured by the nCounter system and SYBR Green real-time PCR demonstrated similar patterns of gene expression at all transcript levels.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes

            Multiplexed quantitation via isobaric chemical tags (e.g., tandem mass tags (TMT) and isobaric tags for relative and absolute quantitation (iTRAQ)) has the potential to revolutionize quantitative proteomics. However, until recently the utility of these tags was questionable due to reporter ion ratio distortion resulting from fragmentation of coisolated interfering species. These interfering signals can be negated through additional gas-phase manipulations (e.g., MS/MS/MS (MS3) and proton-transfer reactions (PTR)). These methods, however, have a significant sensitivity penalty. Using isolation waveforms with multiple frequency notches (i.e., synchronous precursor selection, SPS), we coisolated and cofragmented multiple MS2 fragment ions, thereby increasing the number of reporter ions in the MS3 spectrum 10-fold over the standard MS3 method (i.e., MultiNotch MS3). By increasing the reporter ion signals, this method improves the dynamic range of reporter ion quantitation, reduces reporter ion signal variance, and ultimately produces more high-quality quantitative measurements. To demonstrate utility, we analyzed biological triplicates of eight colon cancer cell lines using the MultiNotch MS3 method. Across all the replicates we quantified 8 378 proteins in union and 6 168 proteins in common. Taking into account that each of these quantified proteins contains eight distinct cell-line measurements, this data set encompasses 174 704 quantitative ratios each measured in triplicate across the biological replicates. Herein, we demonstrate that the MultiNotch MS3 method uniquely combines multiplexing capacity with quantitative sensitivity and accuracy, drastically increasing the informational value obtainable from proteomic experiments.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A probability-based approach for high-throughput protein phosphorylation analysis and site localization.

              Data analysis and interpretation remain major logistical challenges when attempting to identify large numbers of protein phosphorylation sites by nanoscale reverse-phase liquid chromatography/tandem mass spectrometry (LC-MS/MS) (Supplementary Figure 1 online). In this report we address challenges that are often only addressable by laborious manual validation, including data set error, data set sensitivity and phosphorylation site localization. We provide a large-scale phosphorylation data set with a measured error rate as determined by the target-decoy approach, we demonstrate an approach to maximize data set sensitivity by efficiently distracting incorrect peptide spectral matches (PSMs), and we present a probability-based score, the Ascore, that measures the probability of correct phosphorylation site localization based on the presence and intensity of site-determining ions in MS/MS spectra. We applied our methods in a fully automated fashion to nocodazole-arrested HeLa cell lysate where we identified 1,761 nonredundant phosphorylation sites from 491 proteins with a peptide false-positive rate of 1.3%.
                Bookmark

                Author and article information

                Journal
                9502015
                8791
                Nat Med
                Nat. Med.
                Nature medicine
                1078-8956
                1546-170X
                14 November 2019
                13 January 2020
                January 2020
                13 July 2020
                : 26
                : 1
                : 131-142
                Affiliations
                [1 ]Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
                [2 ]Bluefin Biomedicine, Beverly, Massachusetts, USA
                [3 ]NanoString, Seattle, Washington, USA
                [4 ]Pathology Unit, Molecular and Translational Medicine Department, University of Brescia, Brescia, Italy
                [5 ]Department of Chemistry & Biochemistry, University of Missouri-St. Louis, St. Louis, Missouri, USA
                [6 ]Department of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, USA
                [7 ]Department of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan
                [8 ]Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
                [9 ]Rush Alzheimer’s Disease Center and Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
                [10 ]Department of Neurology, Hope Center for Neurological Disorders, Knight ADRC, Washington University School of Medicine, St. Louis, Missouri, USA.
                Author notes

                Author Contributions

                Y.Z., W.M.S., M.N.A. and M. Colonna designed the study and interpreted the results. Y.Z, W.M.S., A.S. and T.K.U. processed the mouse brains to generate single nuclei. Y.Z. and A.S. processed human post-mortem tissues to generate single nuclei. P.S.A., W.M.S. and K.Z. performed computational analyses and Y.Z. and W.M.S. analyzed the results. Y.Z. and W.M.S. performed and analyzed IF on mouse samples. Y.Z. performed IF on human samples. T.L. and S.A.B. performed proteomics and phospho-proteomics studies. K.R.M. performed NanoString analysis. P.L.P. and M. Cominelli performed IHC. Y.Z., S. Grover and M.R.N. performed Aβ aggregation assay. Y.Z., W.M.S. and M. Cella performed cell stimulation experiments. S. Gilfillan bred all the mice. A.M., T.I., M.S. and A.K. provided human post-mortem brain samples from BRI cohort. D.A.B. and J.A.S. provided human post-mortem brain samples from the Rush cohort. J.U. and D.M.H provided human post-mortem brain samples from ADRC cohort. M.N.A. provided guidance for computational analysis. Y.Z., W.M.S. and M. Colonna wrote the manuscript with feedback from all authors.

                [* ]Correspondence: Marco Colonna: mcolonna@ 123456wustl.edu ; Maxim N. Artyomov: martyomov@ 123456wustl.edu
                Article
                NIHMS1542659
                10.1038/s41591-019-0695-9
                6980793
                31932797
                c609e399-3dbf-4c6c-8ca6-fbb30795b298

                Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Categories
                Article

                Medicine
                Medicine

                Comments

                Comment on this article