Literature DB >> 23806289

Dynamic transcriptomes of human myeloid leukemia cells.

Hai Wang1, Haiyan Hu, Qian Zhang, Yadong Yang, Yanming Li, Yang Hu, Xiuyan Ruan, Yaran Yang, Zhaojun Zhang, Chang Shu, Jiangwei Yan, Edward K Wakeland, Quanzhen Li, Songnian Hu, Xiangdong Fang.   

Abstract

To identify the mechanisms controlling chronic myeloid leukemia (CML) and acute myeloid leukemia (AML) in humans, we analyzed genome-wide transcription dynamics in three myeloid leukemia cell lines (K562, HL-60, and THP1) using high-throughput sequencing technology. Using KEGG analysis, we found that the ERK/MAPK, JAK-STAT and ErbB pathways promoted proliferation and metabolism in CML. However, in AML, differentiation and apoptosis blocking resulted in the accumulation of blast cells in marrow. In addition, each cell type had unique characteristics. K562 cells are an ideal model for studying erythroid differentiation and globin gene expression. The chemokine signaling pathway and Fc gamma R-mediated phagocytosis were markedly upregulated in HL-60 cells. In THP1 cells, highly expressed genes ensured strong phagocytosis by monocytes. Further, we provide a new insight into myeloid development. The abundant data sets and well-defined analysis methods will provide a resource and strategy for further investigation of myeloid leukemia.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; Chronic myeloid leukemia; High-throughput RNA sequencing

Mesh:

Substances:

Year:  2013        PMID: 23806289     DOI: 10.1016/j.ygeno.2013.06.004

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  16 in total

1.  Transcriptomes reflect the phenotypes of undifferentiated, granulocyte and macrophage forms of HL-60/S4 cells.

Authors:  David B Mark Welch; Anna Jauch; Jörg Langowski; Ada L Olins; Donald E Olins
Journal:  Nucleus       Date:  2017-03-04       Impact factor: 4.197

Review 2.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

3.  Enhancer-gene rewiring in the pathogenesis of Quebec platelet disorder.

Authors:  Minggao Liang; Asim Soomro; Subia Tasneem; Luis E Abatti; Azad Alizada; Xuefei Yuan; Liis Uusküla-Reimand; Lina Antounians; Sana Akhtar Alvi; Andrew D Paterson; Georges-Étienne Rivard; Ian C Scott; Jennifer A Mitchell; Catherine P M Hayward; Michael D Wilson
Journal:  Blood       Date:  2020-12-03       Impact factor: 22.113

4.  5-Azacytidine modulates CpG methylation levels of EZH2 and NOTCH1 in myelodysplastic syndromes.

Authors:  Anja L Gawlitza; Johanna Speith; Jenny Rinke; Roman Sajzew; Elena K Müller; Vivien Schäfer; Andreas Hochhaus; Thomas Ernst
Journal:  J Cancer Res Clin Oncol       Date:  2019-09-10       Impact factor: 4.553

5.  Revealing genome-wide mRNA and microRNA expression patterns in leukemic cells highlighted "hsa-miR-2278" as a tumor suppressor for regain of chemotherapeutic imatinib response due to targeting STAT5A.

Authors:  Burçin Tezcanlı Kaymaz; Nur Selvi Günel; Metin Ceyhan; Vildan Bozok Çetintaş; Buket Özel; Melis Kartal Yandım; Sezgi Kıpçak; Çağdaş Aktan; Aysun Adan Gökbulut; Yusuf Baran; Buket Kosova Can
Journal:  Tumour Biol       Date:  2015-05-08

6.  Characterization of miRNomes in acute and chronic myeloid leukemia cell lines.

Authors:  Qian Xiong; Yadong Yang; Hai Wang; Jie Li; Shaobin Wang; Yanming Li; Yaran Yang; Kan Cai; Xiuyan Ruan; Jiangwei Yan; Songnian Hu; Xiangdong Fang
Journal:  Genomics Proteomics Bioinformatics       Date:  2014-04-19       Impact factor: 7.691

7.  Survival in acute myeloid leukemia is associated with NKp44 splice variants.

Authors:  Avishai Shemesh; Michael Brusilovsky; Uzi Hadad; Omri Teltsh; Avishay Edri; Eitan Rubin; Kerry S Campbell; Benyamin Rosental; Angel Porgador
Journal:  Oncotarget       Date:  2016-05-31

8.  Personalizing Chinese medicine by integrating molecular features of diseases and herb ingredient information: application to acute myeloid leukemia.

Authors:  Lin Huang; Haichang Li; Duoli Xie; Tieliu Shi; Chengping Wen
Journal:  Oncotarget       Date:  2017-06-27

9.  Cancer Characteristic Gene Selection via Sample Learning Based on Deep Sparse Filtering.

Authors:  Jian Liu; Yuhu Cheng; Xuesong Wang; Lin Zhang; Z Jane Wang
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

10.  Differential genomics and transcriptomics between tyrosine kinase inhibitor-sensitive and -resistant BCR-ABL-dependent chronic myeloid leukemia.

Authors:  Neetu Singh; Anil Kumar Tripathi; Dinesh Kumar Sahu; Archana Mishra; Margaret Linan; Bianca Argente; Julia Varkey; Niranjan Parida; Rebecca Chowdhry; Hari Shyam; Nawazish Alam; Shivani Dixit; Pratap Shankar; Abhishek Mishra; Avinash Agarwal; Chris Yoo; Madan Lal Brahma Bhatt; Ravi Kant
Journal:  Oncotarget       Date:  2018-07-13
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