Chimeric antigen receptors (CARs) link an antigen recognition domain to intracellular signaling domains to redirect T cell specificity and function. T cells expressing CARs with CD28/CD3ζ or 4-1BB/CD3ζ signaling domains are effective at treating refractory B cell malignancies but exhibit differences in effector function, clinical efficacy, and toxicity that are assumed to result from the activation of divergent signaling cascades. We analyzed stimulation-induced phosphorylation events in primary human CD8 CD28/CD3ζ and 4-1BB/CD3ζ CAR T cells by mass spectrometry and found that both CAR constructs activated similar signaling intermediates. Stimulation of CD28/CD3ζ CARs activated faster and larger-magnitude changes in protein phosphorylation, which correlated with an effector T cell-like phenotype and function. In contrast, 4-1BB/CD3ζ CAR T cells preferentially expressed T cell memory-associated genes and exhibited sustained antitumor activity against established tumors in vivo. Mutagenesis of the CAR CD28 signaling domain demonstrated that the increased CD28/CD3ζ CAR signal intensity was partly related to constitutive association of Lck with this domain in CAR complexes. Our data show that CAR signaling pathways cannot be predicted solely by the domains used to construct the receptor and that signal strength is a key determinant of T cell fate. Thus, tailoring CAR design based on signal strength may lead to improved clinical efficacy and reduced toxicity.

High-throughput technologies can now identify hundreds of candidate protein biomarkers for any disease with relative ease. However, because there are no assays for the majority of proteins and de novo immunoassay development is prohibitively expensive, few candidate biomarkers are tested in clinical studies. We tested whether the analytical performance of a biomarker identification pipeline based on targeted mass spectrometry would be sufficient for data-dependent prioritization of candidate biomarkers, de novo development of assays and multiplexed biomarker verification. We used a data-dependent triage process to prioritize a subset of putative plasma biomarkers from >1,000 candidates previously identified using a mouse model of breast cancer. Eighty-eight novel quantitative assays based on selected reaction monitoring mass spectrometry were developed, multiplexed and evaluated in 80 plasma samples. Thirty-six proteins were verified as being elevated in the plasma of tumor-bearing animals. The analytical performance of this pipeline suggests that it should support the use of an analogous approach with human samples.

Highlights d Proteogenomics characterization of 218 pediatric brain tumor samples of 7 histologies d Proteomic clusters reveal actionable biological features spanning histological boundaries d Proteomics reveal downstream effects of DNA alterations not evident in transcriptomics d Kinase activity analyses provide insights into pathway activities and druggable targets

In most cell signaling experiments, analytes are measured one Western blot lane at a time in a semiquantitative and often poorly specific manner, limiting our understanding of network biology and hindering the translation of novel therapeutics and diagnostics. We show the feasibility of using multiplex immuno-MRM for phospho-pharmacodynamic measurements, establishing the potential for rapid and precise quantification of cell signaling networks. A 69-plex immuno-MRM assay targeting the DNA damage response network was developed and characterized by response curves and determinations of intra-and interassay repeatability. The linear range was >3 orders of magnitude, the median limit of quantification was 2.0 fmol/mg, the median intra-assay variability was 10% CV, and the median interassay variability was 16% CV. The assay was applied in proof-of-concept studies to immortalized and primary human cells and surgically excised cancer tissues to quantify exposure-response relationships and the effects of a genomic variant (ATM kinase mutation) or pharmacologic ( Because there is limited correlation between mRNA and protein levels/activity (1), quantification of proteins and posttranslational modifications is critical to understanding cellular signaling and determining pharmacodynamic (PD) 1 responses. Phosphorylation is a key post-translational modification used in signaling networks to modulate protein/pathway activity, protein interactions, and protein localization in response to extracellular and intracellular stimuli. Many diseases exhibit dysfunctions in signaling networks, and thus major efforts to identify novel drug targets (e.g. kinase inhibitors) are based on signal transduction pathways (2).Currently the research community lacks high throughput, quantitative tools for studying phospho-signaling networks, hindering our basic understanding of network biology and hence the translation of novel therapeutics and companion diagnostics. In most experiments, one analyte is measured one Western blot lane at a time in a semiquantitative and often nonspecific manner. These drawbacks limit our ability to extend knowledge beyond individual phosphorylation events to a system-wide study of phosphorylation dynamics, which is critical because signal transduction pathways act as interconnected networks, and the effects of mutations in individual genes (as well as the effects of pharmacologic compounds) spread throughout the network (3). Although Western blotting and related traditional immuno-assay platforms (e.g. ELISA) have been pushed brilliantly to their limits and have formed the basis of many advances in biomedical research, they are inadequate to support the needs of the postgenomic world, in which we need innovative technologies for determining the effects of any experimental condition (e.g. agonist or antagonist exposures, genetic variations) on the major signal transduction networks of the human cell, using precise, standardized, moderate-to-high throughput methods that can be reproduced across laboratories.Newer tec...

A major goal in cell signaling research is the quantification of phosphorylation pharmacodynamics following perturbations. Traditional methods of studying cellular phospho-signaling measure one analyte at a time with poor standardization, rendering them inadequate for interrogating network biology and contributing to the irreproducibility of preclinical research. In this study, we test the feasibility of circumventing these issues by coupling immobilized metal affinity chromatography (IMAC)-based enrichment of phosphopeptides with targeted, multiple reaction monitoring (MRM) mass spectrometry to achieve precise, specific, standardized, multiplex quantification of phospho-signaling responses. A multiplex immobilized metal affinity chromatographymultiple reaction monitoring assay targeting phosphoanalytes responsive to DNA damage was configured, analytically characterized, and deployed to generate phospho-pharmacodynamic curves from primary and immortalized human cells experiencing genotoxic stress. The multiplexed assays demonstrated linear ranges of >3 orders of magnitude, median lower limit of quantification of 0.64 fmol on column, median intraassay variability of 9.3%, median inter-assay variability of 12.7%, and median total CV of 16.0%. The multiplex immobilized metal affinity chromatography-multiple reaction monitoring assay enabled robust quantification of 107 DNA damage-responsive phosphosites from human cells following DNA damage. The assays have been made publicly available as a resource to the community. The approach is generally applicable, enabling wide interrogation of signaling networks. Cell signaling research is faced with the challenging task of interrogating increasingly large numbers of analytes in "systems biology" approaches, while maintaining the high standards of integrity and reproducibility traditionally associated with the scientific approach. For example, studies interrogating complex systems, such as protein signaling networks, require quantification technologies capable of sensitive, specific, multiplexable, and reproducible application. However, recent reports have highlighted alarmingly high rates of irreproducibility in fundamental biological and pre-clinical studies (1, 2), as well as poor performance of affinity reagents used in traditional proteomic assay and detection platforms (3, 4). There is an imminent need for high quality assays, including highly characterized standards and detailed documentation of processes and procedures (5). To improve the translation of cell signaling discoveries into clinical application, we need reproducible and transferable technologies that enable higher throughput quantification of protein phosphorylation.Signaling dynamics through post-translational modifications (e.g. phosphorylation) are predominantly measured by Western blotting. Although this technique has led to many discoveries and is the de facto "gold standard," it suffers from many drawbacks. Western blotting is a low throughput approach applied to individual analytes (i.e. no multipl...