In mammals, transit through the epididymis, which involves the acquisition, loss and modification of proteins, is required to confer motility and fertilization competency to sperm. The overall dynamics of maturation is poorly understood, and a systems level understanding of the complex maturation process will provide valuable new information about changes occurring during epididymal transport. We report the proteomes of sperm collected from the caput, corpus and cauda segments of the mouse epididymis, identifying 1536, 1720 and 1234 proteins respectively. This study identified 765 proteins that are present in sperm obtained from all three segments. We identified 1766 proteins that are potentially added (732) or removed (1034) from sperm during epididymal transit. Phenotypic analyses of the caput, corpus and cauda sperm proteomes identified 60 proteins that have known sperm phenotypes when mutated, or absent from sperm. Our analysis indicates that as much as one-third of proteins with known sperm phenotypes are added to sperm during epididymal transit. GO analyses revealed that cauda sperm are enriched for specific functions including sperm-egg recognition and motility, consistent with the observation that sperm acquire motility and fertilization competency during transit through the epididymis. In addition, GO analyses revealed that the immunity protein profile of sperm changes during sperm maturation. Finally, we identified components of the 26S proteasome, the immunoproteasome, and a proteasome activator in mature sperm.

The application of mass spectrometry (MS) based proteomics, coupled with whole genome annotation of an increasing number of species, has greatly extended our knowledge of sperm composition. Traditional methods used to assess sperm composition, including the use of sperm-specific antibodies and 2D gel electrophoresis, have identified a limited number of sperm proteins. These traditional studies have been augmented in recent years by the use of high throughput and highly sensitive MS (shotgun proteomics) that have substantially increased the accuracy of peptide identification, resulting in a significant increase in proteome coverage. Indeed, advances in MS instrumentation, data acquisition, and the availability of genome annotations have, for example, increased sperm proteome coverage in Drosophila from 381 (1) to 1108 proteins (2) over a five year period.Two main MS based methodologies have been applied to study sperm composition, including (i) 2D PAGE followed by spot excision and MS and (ii) digestion of proteins, followed by MS/MS analysis of the resulting peptides (3). Although each method has its own advantages and disadvantages, a far greater level of proteome coverage is obtained using MS/MS (4). A previous comparative study found that each method identified proteins not found in the other and vice versa, and therefore it has been suggested that these methods should be used to complement each other (5). Thus, although no single methodology yet exists capable of producing a complete whole cell proteome, MS/MS methods provide deeper and broader coverage and are therefore the current method of choice. Shotgun proteomics has characterized sperm proteomes in a variety of taxa including plants, invertebrates and mammals such as human, mouse, rat, and bull (3, 6 -11). These studies achieve varying levels of proteome coverage as a result of several factors including the choice of MS equipment, sample acquisition, purification, solublization, and fractionation schemes. Although these different approaches make direct comparisons difficult they nevertheless have provided invaluable information regarding the composition of sperm and have helped to identify novel proteins that play important roles in sperm function and reproduction.In this study we use MS based proteomics to elucidate the sperm proteome of a species of old world monkey, the Rhesus macaque (Macaca mulatta). Due primarily to their genetic and physiological similarities to humans, Rhesus macaques are the most widely used nonhuman primate model system for basic and applied biomedical research (12). Rhesus macaques are also used extensively as a model of human reproduction where numerous similarities at the molecular level have been observed between gametes of the two species, and why Rhesus macaques have become a useful model system for fertility and assisted reproductive technology reFrom the ‡Center for

Ongoing proteomic analyses are providing a wealth of new data on the composition of the sperm proteome across a range of mammals and other taxa. Although molecular evolution and functional genomic analyses of the proteome have only begun recently, we now broadly understand the molecular composition of sperm. Systems level analysis has revealed a variety of molecular insights into sperm evolution and function, including a remarkable diversity of immunity-related proteins within the proteome. Using existing mammalian sperm proteomes as a starting point, we provide an overview of this important class of sperm proteins and what is known about their function in sperm maturation, sperm quality, sperm competition, and fertilization. The recent observation that many sperm immunity proteins are rapidly evolving, presumably under the influence of positive selection, suggests that they may be responding not only to selection associated with host immunity defense but also with pleiotropic functions in sperm. In addition to the documented role of sperm in the mediation of female immune response, we propose that the fundamental mechanisms involved in cell-cell recognition and binding in both immune processes and fertilization may underlie the multi-functionality of proteins in immunity and reproductive systems.

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Multiple myeloma is a treatable, but currently incurable, hematological malignancy of plasma cells characterized by diverse and complex tumor genetics for which precision medicine approaches to treatment are lacking. The MMRF CoMMpass study is a longitudinal, observational clinical study of newly diagnosed multiple myeloma patients where tumor samples are characterized using whole genome, exome, and RNA sequencing at diagnosis and progression, and clinical data is collected every three months. Analyses of the baseline cohort identified genes that are the target of recurrent gain- and loss-of-function events. Consensus clustering identified 8 and 12 unique copy number and expression subtypes of myeloma, respectively, identifying high-risk genetic subtypes and elucidating many of the molecular underpinnings of these unique biological groups. Analysis of serial samples showed 25.5% of patients transition to a high-risk expression subtype at progression. We observed robust expression of immunotherapy targets in this subtype, suggesting a potential therapeutic option.