Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Introduction: Acute myeloid leukemia (AML) is a hematologic malignancy characterized by aggressive proliferation and chemoresistance, leading to poor patient outcomes. Despite advances in chemotherapy, resistance mechanisms remain inadequately understood, particularly at the cellular and molecular level.
Objectives: This study aims to elucidate the cellular and molecular mechanisms underlying drug resistance in AML cells.
Methods: A multi-omics approach was employed, integrating single-cell RNA sequencing (scRNA-seq), chromatin accessibility profiling (scATAC-seq), DNA methylation analysis, and whole-exome sequencing (WES). AML cell lines (KG-1a, Kasumi-1, and HL-60) were treated with standard chemotherapeutic agents, including cytarabine (Ara-C), daunorubicin (DNR), azacitidine (AZA), and decitabine (DEC). Additionally, we developed a novel multiplexed scRNA-seq strategy, NAMUL-seq, to enhance the efficiency and scalability of single-cell transcriptomic research.
Results: We observed substantial cellular heterogeneity and dynamic transcriptomic trajectories in AML cells subjected to various treatments, uncovering a tendency for reprogramming towards a more stem-like state. Notably, Ara-C-resistant KG-1a cells predominantly originated from G2/M phase subpopulations, suggesting a resistance mechanism linked to specific cell cycle stages. Our findings further indicate that rapid Ara-C resistance is primarily driven by epigenomic changes, including alterations in DNA methylation, chromatin architecture, and transcription factor activity, whereas exonic mutations played a minimal role.
Conclusion: This study demonstrates that AML drug resistance is predominantly driven by epigenomic mechanisms rather than genetic mutations. This study provides a detailed cellular and molecular characterization of AML drug response and resistance, identifying potential therapeutic targets and laying the groundwork for future efforts to overcome chemoresistance.
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http://dx.doi.org/10.1016/j.jare.2025.05.038 | DOI Listing |