Animated Abstract | Hematopoietic Differentiation of Human Pluripotent Stem Cells: HOX and GATA Transcription Factors as Master Regulators

Journal Name: Current Genomics

Author(s): Khaled Alsayegh, Lorena V. Cortés-Medina, Gerardo Ramos-Mandujano, Heba Badraiq, Mo Li*




Graphical Abstract:




Animated Abstract:




Numerous human disorders of the blood system would directly or indirectly benefit from therapeutic approaches that reconstitute the hematopoietic system. Hematopoietic stem cells (HSCs), either from matched donors or ex vivo manipulated autologous tissues, are the most used cellular source of cell therapy for a wide range of disorders. Due to the scarcity of matched donors and the difficulty of ex vivo expansion of HSCs, there is a growing interest in harnessing the potential of pluripotent stem cells (PSCs) as a de novo source of HSCs. PSCs make an ideal source of cells for regenerative medicine in general and for treating blood disorders in particular because they could expand indefinitely in culture and differentiate to any cell type in the body. However, advancement in deriving functional HSCs from PSCs has been slow. This is partly due to an incomplete understanding of the molecular mechanisms underlying normal hematopoiesis. In this review, we discuss the latest efforts to generate human PSC (hPSC)-derived HSCs capable of long-term engraftment. We review the regulation of the key transcription factors (TFs) in hematopoiesis and hematopoietic differentiation, the Homeobox (HOX) and GATA genes, and the interplay between them and microRNAs. We also propose that precise control of these master regulators during the course of hematopoietic differentiation is key to achieving functional hPSC-derived HSCs. To know more about our Animated Abstract, please visit:

Editors Choice Article | IMPMD: An Integrated Method for Predicting Potential Associations Between miRNAs and Diseases

Journal Name: Current Genomics

Author(s): Meiqi Wu, Yingxi Yang, Hui Wang, Jun Ding, Huan Zhu, Yan Xu*.


Graphical Abstract:



Background: With the rapid development of biological research, microRNAs (miRNAs) have increasingly attracted worldwide attention. The increasing biological studies and scientific experiments have proven that miRNAs are related to the occurrence and development of a large number of key biological processes which cause complex human diseases. Thus, identifying the association between miRNAs and disease is helpful to diagnose the diseases. Although some studies have found considerable associations between miRNAs and diseases, there are still a lot of associations that need to be identified. Experimental methods to uncover miRNA-disease associations are time-consuming and expensive. Therefore, effective computational methods are urgently needed to predict new associations.

Methodology: In this work, we propose an integrated method for predicting potential associations between miRNAs and diseases (IMPMD). The enhanced similarity for miRNAs is obtained by combination of functional similarity, gaussian similarity and Jaccard similarity. To diseases, it is obtained by combination of semantic similarity, gaussian similarity and Jaccard similarity. Then, we use these two enhanced similarities to construct the features and calculate cumulative score to choose robust features. Finally, the general linear regression is applied to assign weights for Support Vector Machine, K-Nearest Neighbor and Logistic Regression algorithms.

Results: IMPMD obtains AUC of 0.9386 in 10-fold cross-validation, which is better than most of the previous models. To further evaluate our model, we implement IMPMD on two types of case studies for lung cancer and breast cancer. 49 (Lung Cancer) and 50 (Breast Cancer) out of the top 50 related miRNAs are validated by experimental discoveries.

Conclusion: We built a software named IMPMD which can be freely downloaded from https://




To read out more, please visit:

Press Release | Making blood on demand: How far have we come?


News Release-2020.jpg


The article by Dr. Mo Li et al. is published in Current Genomics, 2019


For more information please visit:

Wishing you a very Happy Birthday | Prof. Christian N. Madu

Prof Christian.jpg

Christian Néri serves as the Editor-in-Chief of the Journal: Current Genomics

Institute of Biology Paris-Seine
CNRS UMR 8256 and UPMC
Paris, 75005

Aims & Scope – Current Genomics

Aims & Scope:

Current Genomics is a peer-reviewed journal that provides essential reading for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments in genome science and systems modeling.

Current Genomics publishes three types of peer-reviewed articles including:

i) High-quality research papers reporting on new and original data generated at the genome scale level, including meta-analysis studies. Systems biology, molecular systems modeling, molecular evolution, developmental biology, aging research and human disease research are topics of particular interest. Position papers dealing with new or complex methodological approaches whether experimental or mathematical are greatly welcome in this section.

ii) Authoritative and comprehensive reviews from widely-recognized experts, covering all the latest and outstanding developments in genome science and computational/systems biology. Proposals for mini-hot topics (2-3 review papers) and full hot topics (6-8 review papers) are welcome in this section and they should not contain original data. Guest edited issues provide expert views on specific questions giving an extensive and comprehensive analysis of a specific field of activities in genomics. All aspects of genetic analysis and gene function will be covered, particularly in the growing areas of human genomics, functional genomics and next generation sequencing, molecular evolution, developmental biology, aging research and systems/statistical modeling.

iii) Opinion papers from internationally and widely recognized experts addressing contemporary questions and issues in the field of genome science and systems biology and basic and clinical research practices.


For more details, please visit: 

MOST ACCESSED ARTICLE – Genome-wide Analysis of Alternative Splicing in An Inbred Cabbage (Brassica oleracea L.) Line ‘HO’ in Response to Heat Stress

Journal Name: Current Genomics

Author(s): Sang Sook Lee, Won Yong Jung, Hyun Ji Park, Arum Lee, Suk-Yoon Kwon ,Hyun-Soon Kim*, Hye Sun Cho*.




Graphical Abstract:




Introduction: High-throughput RNA sequencing (RNA-Seq) studies demonstrate that Alternative Splicing (AS) is a widespread mechanism that enhances transcriptome diversity, particularly in plants exposed to environmental stress. In an attempt to determine the transcriptome and AS patterns of cabbage inbred line “HO” under Heat Stress (HS), RNA-Seq was carried out using HS-treated and control samples. Genome-wide analysis indicated that AS is differentially regulated in response to HS. The number of AS events markedly increased in HS-treated samples compared to the control.

Conclusion: We identified 1,864 genes, including Heat shock transcription factor (Hsf) and heat shock protein (Hsp) genes, that exhibited >4-fold changes in expression upon exposure to HS. The enriched Gene Ontology (GO) terms of the 1,864 genes included ‘response to stress/abiotic stimulus/ chemical stimulus’, among, which the genes most highly induced by HS encode small Hsps and Hsf proteins. The heat-induced genes also showed an increased number of AS events under HS conditions. In addition, the distribution of AS types was altered under HS conditions, as the level of Intron Retention (IR) decreased, whereas other types of AS increased, under these conditions. Severe HSinduced AS was also observed in Hsfs and Hsps, which play crucial roles in regulating heat tolerance. Our results support the notion that AS of HS-related genes, such as HsfA2 and HsfB2a, are important for heat stress adaptation in cabbage.



For more details, Please visit:

New Issue :: Current Genomics 19, Issue 4

Current Genomics is a peer-reviewed journal that provides essential reading for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments in genome science and systems modeling.


Articles from the journal Current Genomics 19, Issue 4:

                       For details on the articles, please visit this link ::


Current Genomics Thematic Issue Now Available on Amazon

thematic flyer

Buy Now:


Current Bioinformatics 13-1

Cardiovascular & Hematological Agents in Medicinal Chemistry 15-2

Current Psychiatry Reviews 13-4

Current Genomics 19-3

Current Topics in Medicinal Chemistry 17-31


MOST ACCESSED ARTICLE – Genome-wide Discovery of Circular RNAs in the Leaf and Seedling Tissues of Arabidopsis Thaliana – Current Genomics

Journal: Current Genomics

Author(s): Yongchao Dou, Shengjun Li, Weilong Yang, Kan Liu, Qian Du, Guodong Ren*, Bin Yu*, Chi Zhang 

Graphical Abstract:



Background: Recently, identification and functional studies of circular RNAs, a type of non-coding RNAs arising from a ligation of 3’ and 5’ ends of a linear RNA molecule, were conducted in mammalian cells with the development of RNA-seq technology.

Method: Since compared with animals, studies on circular RNAs in plants are less thorough, a genome- wide identification of circular RNA candidates in Arabidopsis was conducted with our own developed bioinformatics tool to several existing RNA-seq datasets specifically for non-coding RNAs.

Results: A total of 164 circular RNA candidates were identified from RNA-seq data, and 4 circular RNA transcripts, including both exonic and intronic circular RNAs, were experimentally validated. Interestingly, our results show that circular RNA transcripts are enriched in the photosynthesis system for the leaf tissue and correlated to the higher expression levels of their parent genes. Sixteen out of all 40 genes that have circular RNA candidates are related to the photosynthesis system, and out of the total 146 exonic circular RNA candidates, 63 are found in chloroplast.
To access the article, please visit:


%d bloggers like this: