2020
DOI: 10.1111/bjh.17129
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Identification of genetic targets in acute myeloid leukaemia for designing targeted therapy

Abstract: Summary Few effective therapies exist for acute myeloid leukaemia (AML), in part due to the molecular heterogeneity of this disease. We sought to identify genes crucial to deregulated AML signal transduction pathways which, if inhibited, could effectively eradicate leukaemia stem cells. Due to difficulties in screening primary cells, most previous studies have performed next‐generation sequencing (NGS) library knockdown screens in cell lines. Using carefully considered methods including evaluation at multiple … Show more

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Cited by 6 publications
(9 citation statements)
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“…In the HEL cell line model, the essential role of the proteasomal gene family for viability was observed regardless of treatment with ruxolitinib or CM exposure. Our previous pooled-shRNA library screen of primary AML cells using the identical library did not show proteasome genes among targets having greatest depletion [ 21 ], indicating that proteasome genes are not the most effective targets across all myeloid malignancies. Furthermore, chemical validation demonstrated that relatively low doses of proteasome inhibitors were able to significantly affect HEL cell viability, validating the pooled-shRNA library screen results.…”
Section: Discussionmentioning
confidence: 99%
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“…In the HEL cell line model, the essential role of the proteasomal gene family for viability was observed regardless of treatment with ruxolitinib or CM exposure. Our previous pooled-shRNA library screen of primary AML cells using the identical library did not show proteasome genes among targets having greatest depletion [ 21 ], indicating that proteasome genes are not the most effective targets across all myeloid malignancies. Furthermore, chemical validation demonstrated that relatively low doses of proteasome inhibitors were able to significantly affect HEL cell viability, validating the pooled-shRNA library screen results.…”
Section: Discussionmentioning
confidence: 99%
“…Samples were randomized prior to sequencing on a NextSeq 500 Sequencing System (Illumina, San Diego, CA, USA) to reduce potential biases associated with variable sequencing depths and other NGS-related artefacts [ 20 ]. Bioinformatic analyses and fold change calculations were performed as previously described [ 17 , 21 ]. In brief, the barcodes for each shRNA were identified in the sequencing data for each sample.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, the Beat AML clinical trial was initiated based on the concept of using genomic technology to identify each patient's cancerdriving genetic mutations, followed by matching patients with the most promising targeted treatment, and the initial observations have been promising [11]. Alternatively, one can use inhibition using small hairpin RNA (shRNA) or CRISPR technology libraries [159][160][161][162]. For the last few years, pooled shRNA libraries have been applied to various cancer cell lines in combination with various drugs to identify the genes that are essential for the viability of the cancer cells, and those whose inhibition demonstrates synthetic lethality with the investigated inhibitor [160,163].…”
Section: Functional Genomics and Target Discoverymentioning
confidence: 99%
“…During the selection period, the shRNAs targeting the genes essential for survival of the investigated cancer cells are depleted. The depleted shRNAs are then characterised using next generation sequencing techniques [160,161,163].…”
Section: Functional Genomics and Target Discoverymentioning
confidence: 99%
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