scholarly journals Transcriptional Regulatory Network for the Development of Innate Lymphoid Cells

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Chao Zhong ◽  
Jinfang Zhu
Keyword(s):  
Transcription Factors ◽  
Regulatory Network ◽  
Transcriptional Regulatory Network ◽  
Innate Lymphoid Cells ◽  
Lymphoid Cells ◽  
T Helper ◽  
Th Cells ◽  
Transcriptional Regulatory ◽  
Effector Cytokines ◽  
And Function

Recent studies on innate lymphoid cells (ILCs) have expanded our knowledge about the innate arm of the immune system. Helper-like ILCs share both the “innate” feature of conventional natural killer (cNK) cells and the “helper” feature of CD4+T helper (Th) cells. With this combination, helper-like ILCs are capable of initiating early immune responses similar to cNK cells, but via secretion of a set of effector cytokines similar to those produced by Th cells. Although many studies have revealed the functional similarity between helper-like ILCs and Th cells, some aspects of ILCs including the development of this lineage remain elusive. It is intriguing that the majority of transcription factors involved in multiple stages of T cell development, differentiation, and function also play critical roles during ILC development. Regulators such as Id2, GATA-3, Nfil3, TOX, and TCF-1 are expressed and function at various stages of ILC development. In this review, we will summarize the expression and functions of these transcription factors shared by ILCs and Th cells. We will also propose a complex transcriptional regulatory network for the lineage commitment of ILCs.

scholarly journals Transcription Factors in the Development and Function of Group 2 Innate Lymphoid Cells

2019 ◽  
Vol 20 (6) ◽  
pp. 1377 ◽  
Author(s):  
Takashi Ebihara ◽  
Ichiro Taniuchi
Keyword(s):  
Transcription Factors ◽  
Physiological State ◽  
Allergic Inflammation ◽  
Allergic Diseases ◽  
Innate Lymphoid Cells ◽  
Lymphoid Cells ◽  
Th2 Cytokine ◽  
Parasitic Worm ◽  
Group 2 ◽  
And Function

Group 2 innate lymphoid cells (ILC2s) are tissue-resident cells and are a major source of innate TH2 cytokine secretion upon allergen exposure or parasitic-worm infection. Accumulating studies have revealed that transcription factors, including GATA-3, Bcl11b, Gfi1, RORα, and Ets-1, play a role in ILC2 differentiation. Recent reports have further revealed that the characteristics and functions of ILC2 are influenced by the physiological state of the tissues. Specifically, the type of inflammation strongly affects the ILC2 phenotype in tissues. Inhibitory ILC2s, memory-like ILC2s, and ex-ILC2s with ILC1 features acquire their characteristic properties following exposure to their specific inflammatory environment. We have recently reported a new ILC2 population, designated as exhausted-like ILC2s, which emerges after a severe allergic inflammation. Exhausted-like ILC2s are featured with low reactivity and high expression of inhibitory receptors. Therefore, for a more comprehensive understanding of ILC2 function and differentiation, we review the recent knowledge of transcriptional regulation of ILC2 differentiation and discuss the roles of the Runx transcription factor in controlling the emergence of exhausted-like ILC2s. The concept of exhausted-like ILC2s sheds a light on a new aspect of ILC2 biology in allergic diseases.

scholarly journals Screening Driving Transcription Factors in the Processing of Gastric Cancer

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Guangzhong Xu ◽  
Kai Li ◽  
Nengwei Zhang ◽  
Bin Zhu ◽  
Guosheng Feng
Keyword(s):  
Gastric Cancer ◽  
Transcription Factors ◽  
Regulatory Network ◽  
Target Genes ◽  
Transcriptional Regulatory Network ◽  
Expression Profiles ◽  
Functional Enrichment ◽  
Regulatory Mechanisms ◽  
Integrated Analysis ◽  
Transcriptional Regulatory

Background. Construction of the transcriptional regulatory network can provide additional clues on the regulatory mechanisms and therapeutic applications in gastric cancer.Methods. Gene expression profiles of gastric cancer were downloaded from GEO database for integrated analysis. All of DEGs were analyzed by GO enrichment and KEGG pathway enrichment. Transcription factors were further identified and then a global transcriptional regulatory network was constructed.Results. By integrated analysis of the six eligible datasets (340 cases and 43 controls), a bunch of 2327 DEGs were identified, including 2100 upregulated and 227 downregulated DEGs. Functional enrichment analysis of DEGs showed that digestion was a significantly enriched GO term for biological process. Moreover, there were two important enriched KEGG pathways: cell cycle and homologous recombination. Furthermore, a total of 70 differentially expressed TFs were identified and the transcriptional regulatory network was constructed, which consisted of 566 TF-target interactions. The top ten TFs regulating most downstream target genes were BRCA1, ARID3A, EHF, SOX10, ZNF263, FOXL1, FEV, GATA3, FOXC1, and FOXD1. Most of them were involved in the carcinogenesis of gastric cancer.Conclusion. The transcriptional regulatory network can help researchers to further clarify the underlying regulatory mechanisms of gastric cancer tumorigenesis.

scholarly journals Identification of a GrgA-Euo-HrcA Transcriptional Regulatory Network in Chlamydia

mSystems ◽  
2021 ◽  
Author(s):  
Wurihan Wurihan ◽  
Yi Zou ◽  
Alec M. Weber ◽  
Korri Weldon ◽  
Yehong Huang ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Regulatory Network ◽  
Transcriptional Regulatory Network ◽  
Bacterial Pathogen ◽  
Developed Countries ◽  
Developmental Cycle ◽  
Content Type ◽  
Sexually Transmitted ◽  
Transcriptional Regulatory ◽  
Preventable Blindness

Chlamydia trachomatis is the most prevalent sexually transmitted bacterial pathogen worldwide and is a leading cause of preventable blindness in underdeveloped areas as well as some developed countries. Chlamydia carries genes that encode a limited number of known transcription factors. While Euo is thought to be critical for early chlamydial development, the functions of GrgA and HrcA in the developmental cycle are unclear.

Regulating the development of pulmonary Group 2 innate lymphoid cells

2019 ◽  
Vol 400 (11) ◽  
pp. 1497-1507 ◽  
Author(s):  
Sofia Helfrich ◽  
Claudia U. Duerr
Keyword(s):  
Transcription Factors ◽  
Immune Responses ◽  
Morphological Changes ◽  
Innate Lymphoid Cells ◽  
Lymphoid Cells ◽  
The Family ◽  
Intrinsic Regulation ◽  
Group 2 ◽  
And Function

Abstract Group 2 innate lymphoid cells (ILC2s) are members of the family of innate lymphoid cells and are innately committed to type 2 immune responses. In the lungs, ILC2s are the predominant population of innate lymphoid cells (ILCs) and their development is orchestrated by several different transcription factors ensuring lineage commitment by intrinsic regulation. ILC2s are present in the lungs from the foetal period onwards and are thus exposed to extrinsic regulation due to the airways’ continuous morphological changes upon birth. In this review, we will briefly summarise the dependence of ILC2s on transcription factors and discuss recently described characteristics and function of early life ILC2s in the lungs.

scholarly journals Coregulation of transcription factors and microRNAs in human transcriptional regulatory network

2011 ◽  
Vol 12 (Suppl 1) ◽  
pp. S41 ◽  
Author(s):  
Cho-Yi Chen ◽  
Shui-Tein Chen ◽  
Chiou-Shann Fuh ◽  
Hsueh-Fen Juan ◽  
Hsuan-Cheng Huang
Keyword(s):  
Transcription Factors ◽  
Regulatory Network ◽  
Transcriptional Regulatory Network ◽  
Transcriptional Regulatory

scholarly journals Reconstruction of a Global Transcriptional Regulatory Network for Control of Lipid Metabolism in Yeast by Using Chromatin Immunoprecipitation with Lambda Exonuclease Digestion

mSystems ◽  
2018 ◽  
Vol 3 (4) ◽  
Author(s):  
David Bergenholm ◽  
Guodong Liu ◽  
Petter Holland ◽  
Jens Nielsen
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Lipid Metabolism ◽  
Chromatin Immunoprecipitation ◽  
Regulatory Network ◽  
Regulatory Networks ◽  
Transcriptional Regulatory Network ◽  
Lambda Exonuclease ◽  
Transcriptional Regulatory ◽  
Exonuclease Digestion

ABSTRACT To build transcription regulatory networks, transcription factor binding must be analyzed in cells grown under different conditions because their responses and targets differ depending on environmental conditions. We performed whole-genome analysis of the DNA binding of five Saccharomyces cerevisiae transcription factors involved in lipid metabolism, Ino2, Ino4, Hap1, Oaf1, and Pip2, in response to four different environmental conditions in chemostat cultures, which allowed us to keep the specific growth rate constant. Chromatin immunoprecipitation with lambda exonuclease digestion (ChIP-exo) enabled the detection of binding events at a high resolution. We discovered a large number of unidentified targets and thus expanded functions for each transcription factor (e.g., glutamate biosynthesis as a target of Oaf1 and Pip2). Moreover, condition-dependent binding of transcription factors in response to cell metabolic state (e.g., differential binding of Ino2 between fermentative and respiratory metabolic conditions) was clearly suggested. Combining the new binding data with previously published data from transcription factor deletion studies revealed the high complexity of the transcriptional regulatory network for lipid metabolism in yeast, which involves the combinatorial and complementary regulation by multiple transcription factors. We anticipate that our work will provide insights into transcription factor binding dynamics that will prove useful for the understanding of transcription regulatory networks. IMPORTANCE Transcription factors play a crucial role in the regulation of gene expression and adaptation to different environments. To better understand the underlying roles of these adaptations, we performed experiments that give us high-resolution binding of transcription factors to their targets. We investigated five transcription factors involved in lipid metabolism in yeast, and we discovered multiple novel targets and condition-specific responses that allow us to draw a better regulatory map of the lipid metabolism.

scholarly journals Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells

2019 ◽  
Vol 29 (3) ◽  
pp. 449-463 ◽  
Author(s):  
Emily R. Miraldi ◽  
Maria Pokrovskii ◽  
Aaron Watters ◽  
Dayanne M. Castro ◽  
Nicholas De Veaux ◽  
...  
Keyword(s):  
Regulatory Network ◽  
Network Inference ◽  
Transcriptional Regulatory Network ◽  
Chromatin Accessibility ◽  
T Helper ◽  
T Helper 17 ◽  
T Helper 17 Cells ◽  
Transcriptional Regulatory

scholarly journals Rapid reorganization of the transcriptional regulatory network after genome duplication in yeast

2009 ◽  
Vol 277 (1683) ◽  
pp. 869-876 ◽  
Author(s):  
Gavin C. Conant
Keyword(s):  
Transcription Factors ◽  
Regulatory Network ◽  
Whole Genome Duplication ◽  
Genome Duplication ◽  
Transcriptional Regulatory Network ◽  
Whole Genome ◽  
Functional Roles ◽  
Transcriptional Regulatory ◽  
Dosage Balance ◽  
Tf Gene

I study the reorganization of the yeast transcriptional regulatory network after whole-genome duplication (WGD). Individual transcription factors (TFs) were computationally removed from the regulatory network, and the resulting networks were analysed. TF gene pairs that survive in duplicate from WGD show detectable redundancy as a result of that duplication. However, in most other respects, these duplicated TFs are indistinguishable from other TFs in the genome, suggesting that the duplicate TFs produced by WGD were rapidly diverted to distinct functional roles in the regulatory network. Separately, I find that genes targeted by many TFs appear to be preferentially retained in duplicate after WGD, an effect I attribute to selection to maintain dosage balance in the regulatory network after WGD.

Sign in / Sign up

Export Citation Format

Share Document