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Current Aβ-targeting therapeutics for Alzheimer’s disease (AD) only slow cognitive decline due to poor understanding of AD pathogenesis. Here we describe a mechanism of AD pathogenesis in which the histone methyltransferase G9a noncanonically regulates translation of hippocampal proteins associated with AD pathology. Correspondingly, we developed a brain-penetrant inhibitor of G9a, MS1262, which restored both age-related learning & memory and noncognitive functions in multiple AD mouse models. Further, comparison of AD pathology-correlated mouse proteomes with those of AD patients found G9a regulates pathological pathways that promote Aβ and neurofibrillary tangles. This mouse-to-human overlap of G9a regulated AD-associated pathologic proteins supports at the molecular level the efficacy of targeting G9a translational mechanism for treating AD patients. Additionally, MS1262 treatment reversed the AD-characteristic expression or phosphorylation of multiple clinically validated biomarkers of AD that have the potential to be used for early-stage AD diagnosis and companion diagnosis of individualized drug effects. The authors describe a new mechanism of AD pathogenesis in which the histone methylase G9a regulates translation of hippocampal proteins associated with AD pathology. Targeting this mechanism with a brain-penetrant inhibitor of G9a helped rescue brain pathology in AD mouse models.

An immunosuppressive tumour microenvironment is a major obstacle in the control of pancreatic and other solid cancers 1 – 3 . Agonists of the stimulator of interferon g enes (STING) protein trigger inflammatory innate immune responses to potentially overcome tumour immunosuppression 4 . Although these agonists hold promise as potential cancer therapies 5 , tumour resistance to STING monotherapy has emerged in clinical trials and the mechanism(s) is unclear 5 – 7 . Here we show that the administration of five distinct STING agonists, including cGAMP, results in an expansion of human and mouse interleukin (IL)-35 + regulatory B cells in pancreatic cancer. Mechanistically, cGAMP drives expression of IL-35 by B cells in an IRF3-dependent but type I interferon-independent manner. In several preclinical cancer models, the loss of STING signalling in B cells increases tumour control. Furthermore, anti-IL-35 blockade or genetic ablation of IL-35 in B cells also reduces tumour growth. Unexpectedly, the STING–IL-35 axis in B cells reduces proliferation of natural killer (NK) cells and attenuates the NK-driven anti-tumour response. These findings reveal an intrinsic barrier to systemic STING agonist monotherapy and provide a combinatorial strategy to overcome immunosuppression in tumours. Systemic treatment of pancreatic cancer with STING agonist stimulates regulatory B cells to express immunosuppressive cytokine IL-35, which weakens the anti-tumour function of natural killer cells.

Background Presently, a 50-gene expression model (PAM50) serves as a breast cancer (BC) subtype classifier that is insufficient to distinguish, within each single PAM50-classified subtype, patient subpopulations having different prognosis. There is a pressing need for inexpensive and minimally invasive biomarker tests to easily and accurately predict individuals’ clinical outcomes and response to treatments. Although quantitative proteomic approaches have been developed to identify/profile proteins secreted (secretome) from various cancer cell lines in vitro, missing are the clinicopathological relevance and the associated prognostic value of these secretomic identifications. Methods To discover biomarkers to predict individualized prognosis we introduce a new multi-omics (secreto-transcriptomics) method that identifies, in their oncogenically secreted states, candidate markers of BC subtypes whose genes bear patient-specific mRNA expression alterations of prognostic significance. First, we used label-free quantitative (LFQ) proteomics to identify the proteins showing BC-subtypic secretion from a series of BC cell lines representing major BC-subtypes. To determine and externally validate the prognostic value of these secreted proteins, we developed a secreto-transcriptomic approach that discovered a PAM50-subtypic Se cretion- C orrelated mRNA E xpression P attern (SeCEP) wherein the PAM50-subtypic secretion of select proteins statistically correlated with cis -mRNA expression of their encoding genes in patients of the corresponding PAM50-subtypes. Kaplan-Meier analysis of SeCEP genes was used to identify new liquid biopsy biomarkers for predicting individualized prognosis. Results The mRNA expression-to-secretion correlation (SeCEP) pinpointed multiple genes that are fully translated into the oncogenically active secretome in a PAM50-subtypic manner. Further, multiple SeCEP genes in distinct combinations or panels of multiple SeCEP genes were identified as ‘systems prognostic markers’ that showed mRNA co-overexpression patterns in the distinct subpopulations of PAM50-subtypic patients with poor prognosis or high-risk of relapse. Thus, our secreto-transcriptomic approach statistically linked BC subtypic secretome genes with patient-specific information about their mRNA expression alterations and significantly improved the sensitivity and specificity in patient stratification in the context of clinical outcomes or prognosis. Conclusions By combining LFQ secretome screening with proteo-transcriptomic retrospective analysis of patient data our integrated multi-omics approach bypasses costly, tedious, genome-wide fishing and predictive modeling that are commonly required to distinguish a few prognostically altered genes from thousands of other non-BC related genes in a genome.

The objective of this study is to examine IL-11-induced mechanisms of inflammatory cell migration to the central nervous system (CNS). We report that IL-11 is produced at highest frequency by myeloid cells among the peripheral blood mononuclear cell (PBMC) subsets. Patients with relapsing–remitting multiple sclerosis (RRMS) have an increased frequency of IL-11⁺ monocytes, IL-11⁺ and IL-11R⁺ CD4⁺ lymphocytes, and IL-11R⁺ neutrophils in comparison to matched healthy controls. IL-11⁺ and granulocyte-macrophage colony-stimulating factor (GM-CSF)⁺ monocytes, CD4⁺ lymphocytes, and neutrophils accumulate in the cerebrospinal fluid (CSF). The effect of IL-11 in-vitro stimulation, examined using single-cell RNA sequencing, revealed the highest number of differentially expressed genes in classical monocytes, including up-regulated NFKB1, NLRP3, and IL1B. All CD4⁺ cell subsets had increased expression of S100A8/9 alarmin genes involved in NLRP3 inflammasome activation. In IL-11R⁺-sorted cells from the CSF, classical and intermediate monocytes significantly up-regulated the expression of multiple NLRP3 inflammasome–related genes, including complement, IL18, and migratory genes (VEGFA/B) in comparison to blood-derived cells. Therapeutic targeting of this pathway with αIL-11 mAb in mice with RR experimental autoimmune encephalomyelitis (EAE) decreased clinical scores, CNS inflammatory infiltrates, and demyelination. αIL-11 mAb treatment decreased the numbers of NFκBp65⁺, NLRP3⁺, and IL-1β⁺ monocytes in the CNS of mice with EAE. The results suggest that IL-11/IL-11R signaling in monocytes represents a therapeutic target in RRMS.

Immune cells develop endotoxin tolerance (ET) after prolonged stimulation. ET increases the level of a repression mark H3K9me2 in the transcriptionally silent chromatin specifically associated with pro-inflammatory genes. However, it is not clear what proteins are functionally involved in this process. Here we show that a novel chromatin activity-based chemoproteomic (ChaC) approach can dissect the functional chromatin protein complexes that regulate ET-associated inflammation. Using UNC0638 that binds the enzymatically active H3K9-specific methyltransferase G9a/GLP, ChaC reveals that G9a is constitutively active at a G9a-dependent mega-dalton repressome in primary endotoxin-tolerant macrophages. G9a/GLP broadly impacts the ET-specific reprogramming of the histone code landscape, chromatin remodelling and the activities of select transcription factors. We discover that the G9a-dependent epigenetic environment promotes the transcriptional repression activity of c-Myc for gene-specific co-regulation of chronic inflammation. ChaC may also be applicable to dissect other functional protein complexes in the context of phenotypic chromatin architectures. Immune cell pro-inflammatory gene expression is suppressed following prolonged stimulation. Using a chemoproteomic approach, the authors show that methyltransferase G9a forms a protein complex that promotes the transcriptional repressor activity of c-Myc to repress inflammation-induced gene expression.

Depletion of CD4 + T cells during HIV-1 infection is mostly mediated by inflammatory cells via indirect but not clearly defined mechanisms. In this report, we used single-cell RNA-Seq (scRNA-Seq) technology to study HIV-induced transcriptomic change in innate immune cells in lymphoid organs. We performed scRNA-Seq on hCD45 + hCD3 – hCD19 – human leukocytes isolated from spleens of humanized NOD / Rag2 –/– γ c –/– (NRG) mice transplanted with human CD34 + hematopoietic stem progenitor cells (NRG-hu HSC mice). We identified major populations of innate immune cells, including plasmacytoid dendritic cells (pDCs), myeloid dendritic cells (mDCs), macrophages, NK cells, and innate lymphoid cells (ILCs). HIV-1 infection significantly upregulated genes involved in type I IFN inflammatory pathways in each of the innate immune subsets. Interestingly, we found that TRAIL was upregulated in the innate immune populations, including pDCs, mDCs, macrophages, NK cells, and ILCs. We further demonstrated that blockade of the TRAIL signaling pathway in NRG-hu HSC mice prevented HIV-1–induced CD4 + T cell depletion in vivo. In summary, we characterized HIV-induced transcriptomic changes of innate immune cells in the spleen at single-cell levels, identified the TRAIL + innate immune cells, and defined an important role of the TRAIL signaling pathway in HIV-1–induced CD4 + T cell depletion in vivo.

Background Proteogenomic mapping is an approach that uses mass spectrometry data from proteins to directly map protein-coding genes and could aid in locating translational regions in the human genome. In concert with the ENcyclopedia of DNA Elements (ENCODE) project, we applied proteogenomic mapping to produce proteogenomic tracks for the UCSC Genome Browser, to explore which putative translational regions may be missing from the human genome. Results We generated ~1 million high-resolution tandem mass (MS/MS) spectra for Tier 1 ENCODE cell lines K562 and GM12878 and mapped them against the UCSC hg19 human genome, and the GENCODE V7 annotated protein and transcript sets. We then compared the results from the three searches to identify the best-matching peptide for each MS/MS spectrum, thereby increasing the confidence of the putative new protein-coding regions found via the whole genome search. At a 1% false discovery rate, we identified 26,472, 24,406, and 13,128 peptides from the protein, transcript, and whole genome searches, respectively; of these, 481 were found solely via the whole genome search. The proteogenomic mapping data are available on the UCSC Genome Browser at http://genome.ucsc.edu/cgi-bin/hgTrackUi?db=hg19&g=wgEncodeUncBsuProt . Conclusions The whole genome search revealed that ~4% of the uniquely mapping identified peptides were located outside GENCODE V7 annotated exons. The comparison of the results from the disparate searches also identified 15% more spectra than would have been found solely from a protein database search. Therefore, whole genome proteogenomic mapping is a complementary method for genome annotation when performed in conjunction with other searches.

By using oligonucleotide-directed saturation mutagenesis, we collected 366 different single amino acid substitutions in a 109-aa segment (residues 95-203) in the fingers and palm subdomains of the HIV-1 reverse transcriptase (RT), the enzyme that replicates the viral genome. After expression in Escherichia coli, two phenotypic assays were performed. The first assay tested for RNA-dependent DNA polymerase activity. The other assay used Western blot analysis to estimate the stability of each mutant protein by measuring the processing of the RT into its mature heterodimeric form, consisting of a 66-kDa subunit and a 51-kDa subunit. The resulting phenotypic data provided a ``genetic'' means to identify amino acid side chains that are important for protein function or stability, as well as side chains located on the protein surface. Several HIV-1 RT crystal structures were used to evaluate the mutational analysis. Our genetic map correlates well with the crystal structures. Combining our phenotype data with crystallographic data allowed us to study the genetically defined critical residues. The important functional residues are found near the enzyme active site. Many residues important for the stability of the RT participate in potential hydrogen bonding or hydrophobic interactions in the protein interior. In addition to providing a better understanding of the HIV-1 RT, this work demonstrates the utility of saturation mutagenesis to study the function, structure, and stability of proteins in general. This strategy should be useful for studying proteins for which no crystallographic data are available.