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Saiki, R.

Publications and source records attributed to Saiki, R..

5 recordsLinked to original sources

Chromatin landscape and epigenetic heterogeneity of acute myeloid leukemia

Acute myeloid leukemia (AML) is an aggressive hematologic cancer characterized by proliferation of immature myeloblasts. It shows profound molecular heterogeneity, which has been primarily studied through genetic abnormalities, providing the basis for disease classification, prognostication, and therapeutic choice. However, genetic factors alone may not fully explain AML pathogenesis and diversity, while leaving the role of abnormal epigenome, particularly chromatin state, largely unexplored in a large cohort of patients. Here we show that AML is classified into 16 subgroups with distinct chromatin accessibility profiles based on ATAC-seq in 1,563 AML cases, including novel AML subgroups not previously recognized in conventional genomic classifications. By integrating multi-omics analyses of genome, transcriptome, and major histone marks, we show that these epigenetic subgroups exhibit unique features in clinical presentation, gene mutations, differentiation states, gene expression, and super-enhancer profiles, which are validated across independent cohorts. Single-cell sequencing demonstrates the presence of subgroup-specific ATAC signatures that are shared by all leukemic cells, confirming the definitive role of the epigenome in the ATAC-based classification. Mechanistically, each subgroup is associated with a distinct gene regulatory network centered on key transcription factors, where subgroup-specific super-enhancers play a pivotal role. These ATAC subgroups also have prognostic significance independent of genomic classification, and help reveal unexpected drug sensitivities. In summary, ATAC-based chromatin profiling in this large sample set, combined with multi-omics data, provides new insights into AML pathogenesis beyond genomic profiling and also serves as an invaluable resource for AML research.

cancer biology↗

TET2-mutant clonal hematopoiesis prevents T-cell exhaustion and suppresses cancer metastasis

Clonal hematopoiesis (CH) is widely regarded as a risk factor for age-associated disease, yet its influence on solid tumor progression remains poorly understood. Here, we uncover an unexpected tumor-suppressive role for TET2-mutant CH in solid tumors. Through an analysis of over 16,000 cancer patients, we demonstrate that TET2 mutations are associated with a significant reduction in metastatic burden. Mechanistically, we show that Tet2 deficiency prevents terminal exhaustion in CD8+ tumor-infiltrating lymphocytes (CD8+ TILs). This resistance is driven by DNA hypermethylation at regulatory elements of the transcription factor Tox, which prevents the induction of the terminal exhaustion program. Consequently, Tet2-deficient CD8+ TILs maintain stem-like, effector-competent states that mediate durable anti-tumor immunity and suppress metastatic outgrowth. Our findings establish TET2-mutant CH as a natural epigenetic constraint on T-cell exhaustion and uncover a mechanistically defined pathway with translational potential for enhancing anti-tumor immune responses.

immunology↗

Genomic and transcriptomic analyses of the subterranean termite Reticulitermes speratus: gene duplication facilitates social evolution

Termites are model social organisms characterized by a polyphenic caste system. Subterranean termites (Rhinotermitidae) are ecologically and economically important species, including acting as destructive pests. Rhinotermitidae occupies an important evolutionary position within the clade representing an intermediate taxon between the higher (Termitidae) and lower (other families) termites. Here, we report the genome, transcriptome and methylome of the Japanese subterranean termite Reticulitermes speratus. The analyses highlight the significance of gene duplication in social evolution in this termite. Gene duplication associated with caste-biased gene expression is prevalent in the R. speratus genome. Such duplicated genes encompass diverse categories related to social functions, including lipocalins (chemical communication), cellulases (wood digestion and social interaction), lysozymes (social immunity), geranylgeranyl diphosphate synthase (social defense) and a novel class of termite lineage-specific genes with unknown functions. Paralogous genes were often observed in tandem in the genome, but the expression patterns were highly variable, exhibiting caste biases. Some duplicated genes assayed were expressed in caste-specific organs, such as the accessory glands of the queen ovary and frontal glands in soldier heads. We propose that gene duplication facilitates social evolution through regulatory diversification leading to caste-biased expression and subfunctionalization and/or neofunctionalization that confers caste-specialized functions. Significance StatementTermites are model social organisms characterized by a sophisticated caste system, where distinct castes arise from the same genome. Our genomics data of Japanese subterranean termite provides insights into the evolution of the social system, highlighting the significance of gene duplication. Gene duplication associated with caste-biased gene expression is prevalent in the termite genome. Many of the duplicated genes were related to social functions, such as chemical communication, social immunity and defense, and they often expressed in caste-specific organs. We propose that gene duplication facilitates social evolution through regulatory diversification leading to caste-biased expression and functional specialization. In addition, since subterranean termites are ecologically and economically important species including destructive pests in the world, our genomics data serves as a foundation for these studies.

genomics↗

Combined landscape of single-nucleotide variants and copy-number alterations in clonal hematopoiesis

Implicated in the development of hematological malignancies (HM) and cardiovascular mortality, clonal hematopoiesis (CH) in apparently healthy individuals has been investigated by detecting either single-nucleotide variants and indels (SNVs/indels) or copy number alterations (CNAs), but not both. Here by combining targeted sequencing of 23 CH-related genes and array-based CNA detection of blood-derived DNA, we have delineated the landscape of CH-related SNVs/indels and CNAs in a general population of 11,234 individuals, including 672 with subsequent HM development. Both CH-related lesions significantly co-occurred, which combined, affected blood count, hypertension, and the mortality from HM and cardiovascular diseases depending on the total number of both lesions, highlighting the importance of detecting both lesions in the evaluation of CH.

cancer biology↗

Implications of TP53 Allelic State for Genome Stability, Clinical Presentation and Outcomes in Myelodysplastic Syndromes

TP53 mutations are associated with poor clinical outcomes and treatment resistance in myelodysplastic syndromes. However, the biological and clinical relevance of the underlying mono- or bi-allelic state of the mutations is unclear. We analyzed 3,324 MDS patients for TP53 mutations and allelic imbalances of the TP53 locus and found that 1 in 3 TP53-mutated patients had mono-allelic targeting of the gene whereas 2 in 3 had multiple hits consistent with bi-allelic targeting. The established associations for TP53 with complex karyotype, high-risk presentation, poor survival and rapid leukemic transformation were specific to patients with multi-hit state only. TP53 multi-hit state predicted risk of death and leukemic transformation independently of the Revised International Prognostic Scoring System, while mono-allelic patients did not differ from TP53 wild-type patients. The separation by allelic state was retained in therapy-related MDS. Findings were validated in a cohort of 1,120 patients. Ascertainment of TP53 allelic state is critical for diagnosis, risk estimation and prognostication precision in MDS, and future correlative studies of treatment response should consider TP53 allelic state.

genomics↗