RESUMEN
In this review, we describe the attributes of histone H3 mutants identified in cancer. H3 mutants were first identified in genes encoding H3.3, in pediatric high-grade glioma, and subsequently in chondrosarcomas and giant cell tumors of bone (GCTB) in adolescents. The most heavily studied are the lysine to methionine mutants K27M and K36M, which perturb the target site for specific lysine methyltransferases and dominantly perturb methylation of corresponding lysines in other histone H3 proteins. We discuss recent progress in defining the consequences of these mutations on chromatin, including a newly emerging view of the central importance of the disruption of H3K36 modification in many distinct K to M histone mutant cancers. We also review new work exploring the role of H3.3 G34 mutants identified in pediatric glioma and GCTB. G34 is not itself post-translationally modified, but G34 mutation impinges on the modification of H3K36. Here, we ask if G34R mutation generates a new site for methylation on the histone tail. Finally, we consider evidence indicating that histone mutations might be more widespread in cancer than previously thought, and if the perceived bias towards mutation of H3.3 is real or reflects the biology of tumors in which the histone mutants were first identified.
RESUMEN
BACKGROUND: The African frog, Xenopus tropicalis, is widely used in biomedical and toxicologic research. Reference intervals (RI) for hematologic variables, valuable to research and health status assessment, have not been established. OBJECTIVES: The purpose of the study was to determine hematologic RI of X tropicalis, and establish whether automated cell counting can facilitate routine hematologic assessment in frogs. METHODS: Blood from 41 adult healthy X tropicalis was collected via cardiac puncture, and diluted in Natt-Herrick solution. Complete WBC, RBC, and thrombocyte counts (hemocytometry), differential WBC counts (Wright-Giemsa-stained smears), PCV (centrifugation), total protein (refractometry), and automated total cell counts (WBC + RBC + thrombocytes, Sysmex particle counting) were determined. Concordance correlation coefficients calculated the agreement between total cell counts obtained by hemocytometry and automated particle counting, and between total cell counts at collection and after 2 years of storage. RESULTS: Leukocyte morphology was similar to other amphibians and mammals. PCV was similar to other frogs; RBC counts were higher, and MCV was lower than in other frog species. Neutrophils were the most numerous WBC. Agreement was good between hemocytometry and automated cell counts. Subtracting the hemocytometer WBC and thrombocyte counts from the automated total cell count reliably yielded the RBC count. Cellular integrity evaluated 2 years post collection was good, and automated counts were not clinically different from counts at collection. CONCLUSION: We provide hematologic RI for X tropicalis, suggest how automated cell counts may facilitate hematologic assessments of frogs, and establish that blood in Natt-Herrick solution is stable 2 years post collection.
