Highly Multiplexed Cell Surface Immunophenotyping with Genotyping and Concurrent Transcriptomic Analysis of NPM1 mutated Acute Myeloid Leukemia

BACKGROUND: The pathogenesis of acute myeloid leukemia (AML) is often attributed to the presence of somatic allelic variant(s) in hematopoietic stem/progenitor cells. However, malignant clones may have heterogenous cell-surface immunophenotypes including overlap with non-malignant cells. While leukemia-associated immunophenotypes and difference from normal approaches are used for flow cytometric assessment during and after treatment, such analysis may underrepresent true leukemia disease burden. Assessments of AML measurable residual disease (MRD) using flow cytometry and molecular methods have been reported as discrepant. Single-cell RNA sequencing experiments have recently attempted to distinguish malignant cells based on gene expression and/or immunophenotypic profiles alone. We hypothesized that single-cell genotyping of mutated transcript(s) coupled with broad surface proteome and transcriptome profiling could provide an integrated multimodal method for AML characterization. METHODS: We adapted the previously reported "genotyping of transcriptomes" (PMID: 31270458) to identify cells carrying the NPM1 type A mutation commonly seen, and typically stable throughout the disease course, in AML. Healthy human peripheral blood mononuclear cells (PBMC) were mixed with an AML cell line carrying NPM1 type A mutation (OCI-AML3) at 7:3 ratio and labelled with 163 oligo-tagged antibodies. Single cell 3'v3 gene expression- (GEX), antibody derived tag- (ADT) and genotyping of NPM1 (GNPM) -libraries (10X Genomics) were sequenced on the NovaSeq 6000 (Illumina). Results were processed using Seurat 4.0 toolkit. RESULTS: In total, 72% (n=1680) of barcoded cells could be genotyped for NPM1. Of the genotyped cells, 59% (n = 986) were not NPM1 mutated. Visualization using Uniform Manifold Approximation and Projection (UMAP) showed separation of healthy PBMCs and OCI-AML3 cells using protein data, confirmed by annotation using NPM1 genotyping (Figure 1). We found a significant positive correlation between mRNA and corresponding cell surface protein expressions in non-mutated (Pearson's coefficient, r = 0.502, p = 6.87e-11) and NPM1 mutated (r= 0.392, p= 7.5e-7) cells. Compared to non-mutated, NPM1 mutated cells showed nearly 14-fold higher NPM1 transcript levels. In addition, a total 63 proteins were highly expressed on the surface of NPM1 mutated cells (Figure 2). Among these, CD33 and CD36 showed maximum 8-fold increase in expression. Other highly expressed proteins with at least >2.5-fold change were cell adhesion molecules (including CD328, CD155, and CD56), extracellular matrix binding proteins (CD49a/b) and interleukin receptor (CD123). CONCLUSION: Overall, our results demonstrate proof of principle that high-throughput cell surface proteome, transcriptome and genotyping analysis can be simultaneously performed to comprehensively and confidently characterize individual AML cells. Patient-specific multiomics data with broad cell-surface proteomic screening may allow novel target identification for monitoring and/or therapeutic intervention. Ongoing work will now use this methodology to characterize a cohort of NPM1 mutated AML patient samples. Figure 1 Figure 1. Disclosures Hourigan: Sellas: Research Funding.

Mapping the High-Risk Multiple Myeloma Cell Surface Proteome Identifies T-Cell Inhibitory Receptors for Immune Targeting

Multiple myeloma (MM) is an incurable malignancy of mature plasma cells. Despite major advances in the therapeutic armamentarium of MM, only 50% of patients survive more than 5 years after diagnosis, with significantly lower rates (21%) for high-risk patients. Chimeric Antigen Receptor (CAR) T-cell therapy targeting BCMA (B-cell maturation antigen) shows high response rates in relapsed/refractory patients. However, most patients have disease remission that lasts less than 18 months, prompting the search for additional and synergistic therapeutic approaches. We unbiasedly mapped the cell surface proteome of MM by integrating Mass-Spectrometry (MS) and RNA-seq analyses from 7 MM cell lines and 904 primary MM patient samples bearing high-risk cytogenetics. To identify cell surface proteins, we ran a pool of 4,761 proteins and 16,000+ transcripts through five repositories. An integrated scoring database was developed by scoring each ID based on the number of databases (0-5) it was identified in, with 0 if the molecule was not found in any and 5 if the protein was found in all five. We identified 402 proteins with a surface score of 3 or higher in MM cell lines and patient samples by transcriptomics and proteomics. We prioritized the 326 candidates that were more highly expressed in patients. Based on functional enrichment analyses, we found the proteins formed three main networks with immune mechanisms representing the largest cluster (227 out of 326 cell surface proteins) followed by transporters and adhesion proteins.Based on a pipeline we previously established (1), we further selected 97 candidates minimally expressed in normal tissues. This list included current therapeutic targets such as BCMA, SLAMF7, ITGB7 and LY9. Validation in primary patient samples by western blot and flow-cytometric analyses, enabled the identification of 10 top candidates (CCR1, CD320, FCRL3, IL12RB1, ITGA4, LAX1, LILRB4, LRRC8D, SEMA4A, SLAMF6) that resulted most frequently and highly expressed. We found that LAX1, LILRB4 and SEMA4A significantly impact myeloma patient overall survival based on Kaplan-Meier analysis in the MM Research Foundation (MMRF) cohort (2). CCR1, IL12RB1, LILRB4 and SEMA4A were upregulated by the treatment with Bortezomib or Venetoclax that conversely, decreased BCMA expression in MM U266 cells. By stratifying the patient population, we found that the SEMA4A and LAX1 were up-regulated in patients with t(4;14) compared to patients with no cytogenetic abnormality; LILRB4 in patients with t(14;16) and CCR1 patients with t(14;16) and t(14;20). By calculating co-expression levels CCR1-LILRB4 and CCR1-FCRL3 resulted co-expressed in 100% of patients. For safety purposes (3), we excluded candidates with high (>55%) protein abundance in highly-purified normal hematopoietic stem cells and activated T-cells, narrowing down the list to 6 top candidates (CCR1, FCRL3, IL12RB1, LILRB4, LRRC8D, SEMA4A). To define the function of this group of promising cell surface targets, we used a CRISPR/Cas9 inducible system in KMS11 MM cells. We found that knock-out of CCR1, LRRC8D and SEMA4A individually reduces the MM cell growth by ~60%, 50% and 50% respectively, and almost completely abrogates MM cell migration through porous chambers by >80%. By co-culturing irradiated KO and control MM cells with healthy donor T-cells we also found that lack of CCR1 increased T-cell proliferation by 50% compared to controls and enhanced killing of MM cells, suggesting that CCR1 may suppress T-cell mediated immune responses in addition to play a role in MM cell survival and migration. This study suggests the contribution of an altered MM surfaceome to disease development and may lead to potential novel immunotherapeutic approaches for high-risk MM. References 1. Perna F et al., Cancer Cell 2017 3. Dong C et al., in press Oncogene 2021 Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Die Endozytose — ein zellulärer Aufnahmeweg mit vielfältigen Funktionen

The plasma membrane harbors a specific set of transmembrane proteins which enable diverse cellular functions such as nutrient uptake, ion homeostasis and cellular signaling. The surface levels of these proteins need to be dynamically regulated to allow for plastic changes in cellular behaviour e. g. upon cell stress or during neuronal communication. Endocytosis is a powerful mechanism for quickly adapting the surface proteome via protein internalization. Here, I discuss how endocytosis contributes to brain function and counteracts cell stress.

Cell-surface tethered promiscuous biotinylators enable small-scale surface proteomics of human exosomes

Characterization of cell surface proteome differences between cancer and healthy cells is a valuable approach for the identification of novel diagnostic and therapeutic targets. However, selective sampling of surface proteins for proteomics requires large samples (>10e7 cells) and long labeling times. These limitations preclude analysis of material-limited biological samples or the capture of rapid surface proteomic changes. Here, we present two labeling approaches to tether exogenous peroxidases (APEX2 and HRP) directly to cells, enabling rapid, small-scale cell surface biotinylation without the need to engineer cells. We used a novel lipidated DNA-tethered APEX2 (DNA-APEX2), which upon addition to cells promoted cell agnostic membrane-proximal labeling. Alternatively, we employed horseradish peroxidase (HRP) fused to the glycan binding domain of wheat germ agglutinin (WGA-HRP). This approach yielded a rapid and commercially inexpensive means to directly label cells containing common N-Acetylglucosamine (GlcNAc) and sialic acid glycans on their surface. The facile WGA-HRP method permitted high surface coverage of cellular samples and enabled the first comparative surface proteome characterization of cells and cell-derived exosomes, leading to the robust quantification of 1,020 cell and exosome surface proteins. We identified a newly-recognized subset of exosome-enriched markers, as well as proteins that are uniquely upregulated on Myc oncogene-transformed prostate cancer exosomes. These two cell-tethered enzyme surface biotinylation approaches are highly advantageous for rapidly and directly labeling surface proteins across a range of material-limited sample types.

Functional multi-omics reveals genetic and pharmacologic regulation of surface CD38 in multiple myeloma

CD38 is a surface ectoenzyme expressed at high levels on myeloma plasma cells and is the target for the monoclonal antibodies (mAbs) daratumumab and isatuximab. CD38 density on tumor cells is an important determinant of mAb efficacy, and CD38 loss after mAb treatment may play a role in resistance. Several small molecules have been found to increase tumor surface CD38, with the goal of boosting mAb efficacy in a co-treatment strategy. Here we sought to extend our currently limited insight into CD38 surface expression by using a multi-omics approach. Genome-wide CRISPR-interference screens integrated with patient-centered epigenetic analysis confirmed known regulators of CD38, such as RARA, while revealing XBP1 and SPI1 as other key transcription factors governing surface CD38 levels. CD38 knockdown followed by cell surface proteomics demonstrated no significant remodeling of the myeloma 'surfaceome' after genetically-induced loss of this antigen. Integrated transcriptome and surface proteome data confirmed high specificity of all-trans retinoic acid in upregulating CD38 in contrast to broader effects of azacytidine and panobinostat. Finally, unbiased phosphoproteomics identified inhibition of MAP kinase pathway signaling in tumor cells after daratumumab treatment. Our work provides a resource to design strategies to enhance efficacy of CD38-targeting immunotherapies in myeloma.

Neural-specific alterations in glycosphingolipid biosynthesis and cell signaling associated with two human ganglioside GM3 Synthase Deficiency variants

GM3 Synthase Deficiency (GM3SD) is a neurodevelopmental disorder resulting from pathogenic variants in the ST3GAL5 gene, which encodes GM3 synthase, a glycosphingolipid (GSL)-specific sialyltransferase. This enzyme adds a single alpha3-linked sialic acid to the terminal galactose of lactosylceramide (LacCer) to produce the monosialylated ganglioside GM3. In turn, GM3 is extended by other glycosyltransferases to generate nearly all the complex gangliosides enriched in neural tissue. Pathogenic mechanisms that account for neural phenotypes associated with GM3SD are not known. To explore how loss of GM3 impacts neural-specific glycolipid glycosylation and cell signaling, GM3SD patient fibroblasts bearing one of two different ST3GAL5 variants were reprogrammed to induced pluripotent stem cells (iPSCs) and then differentiated to neural crest cells (NCCs). GM3 and GM3-derived gangliosides were undetectable in iPSCs and NCCs from both variants, while LacCer precursor levels were elevated compared to wildtype (WT). NCCs of both variants synthesized elevated levels of neutral lacto- and globo-series, as well as minor alternatively sialylated, GSLs compared to WT. Shifts in ceramide profiles associated with iPSC and NCC GSLs were also detected in GM3SD variants. Altered GSL profiles in the GM3SD cells were accompanied by dynamic changes in the cell surface proteome, protein O-GlcNAcylation, and receptor tyrosine kinase abundance. GM3SD cells also exhibited increased apoptosis and sensitivity to erlotnib, an inhibitor of epidermal growth factor receptor signaling. Pharmacologic inhibition of O-GlcNAcase increased protein O-GlcNAcylation and significantly rescued baseline and erlotnib-induced apoptosis. Collectively, these findings indicate broad effects on cell signaling during differentiation of GM3SD patient-derived iPSCs to NCCs. Thus, human GM3SD cells provide a novel platform to investigate structure/function relationships that connect GSL diversity to cell signaling, cell survival, and neural differentiation.