Reactome - a curated knowledgebase of biological pathways

10.3180/47 ◽  
2014 ◽  
Keyword(s):  
Biological Pathways

Carbazole Derivatives as Kinase-Targeting Inhibitors for Cancer Treatment

2020 ◽  
Vol 20 (6) ◽  
pp. 444-465 ◽  
Author(s):  
Jessica Ceramella ◽  
Domenico Iacopetta ◽  
Alexia Barbarossa ◽  
Anna Caruso ◽  
Fedora Grande ◽  
...  
Keyword(s):  
Cancer Progression ◽  
Drug Targets ◽  
Mechanisms Of Action ◽  
Biological Pathways ◽  
G Protein Coupled Receptors ◽  
Ability To Act ◽  
Different Types ◽  
Activity Of Enzymes ◽  
Intercalating Agents ◽  
G Protein Coupled

Protein Kinases (PKs) are a heterogeneous family of enzymes that modulate several biological pathways, including cell division, cytoskeletal rearrangement, differentiation and apoptosis. In particular, due to their crucial role during human tumorigenesis and cancer progression, PKs are ideal targets for the design and development of effective and low toxic chemotherapeutics and represent the second group of drug targets after G-protein-coupled receptors. Nowadays, several compounds have been claimed to be PKs inhibitors, and some of them, such as imatinib, erlotinib and gefitinib, have already been approved for clinical use, whereas more than 30 others are in various phases of clinical trials. Among them, some natural or synthetic carbazole-based molecules represent promising PKs inhibitors due to their capability to interfere with PK activity by different mechanisms of action including the ability to act as DNA intercalating agents, interfere with the activity of enzymes involved in DNA duplication, such as topoisomerases and telomerases, and inhibit other proteins such as cyclindependent kinases or antagonize estrogen receptors. Thus, carbazoles can be considered a promising this class of compounds to be adopted in targeted therapy of different types of cancer.

scholarly journals Rewired Pathways and Disrupted Pathway Crosstalk in Schizophrenia Transcriptomes by Multiple Differential Coexpression Methods

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 665
Author(s):  
Hui Yu ◽  
Yan Guo ◽  
Jingchun Chen ◽  
Xiangning Chen ◽  
Peilin Jia ◽  
...  
Keyword(s):  
Gene Expression ◽  
Focal Adhesion ◽  
Biological Pathways ◽  
Postmortem Brain ◽  
Rna Seq ◽  
Hub Genes ◽  
Differential Coexpression ◽  
Pathway Crosstalk ◽  
Microarray Datasets ◽  
Transcriptomic Studies

Transcriptomic studies of mental disorders using the human brain tissues have been limited, and gene expression signatures in schizophrenia (SCZ) remain elusive. In this study, we applied three differential co-expression methods to analyze five transcriptomic datasets (three RNA-Seq and two microarray datasets) derived from SCZ and matched normal postmortem brain samples. We aimed to uncover biological pathways where internal correlation structure was rewired or inter-coordination was disrupted in SCZ. In total, we identified 60 rewired pathways, many of which were related to neurotransmitter, synapse, immune, and cell adhesion. We found the hub genes, which were on the center of rewired pathways, were highly mutually consistent among the five datasets. The combinatory list of 92 hub genes was generally multi-functional, suggesting their complex and dynamic roles in SCZ pathophysiology. In our constructed pathway crosstalk network, we found “Clostridium neurotoxicity” and “signaling events mediated by focal adhesion kinase” had the highest interactions. We further identified disconnected gene links underlying the disrupted pathway crosstalk. Among them, four gene pairs (PAK1:SYT1, PAK1:RFC5, DCTN1:STX1A, and GRIA1:MAP2K4) were normally correlated in universal contexts. In summary, we systematically identified rewired pathways, disrupted pathway crosstalk circuits, and critical genes and gene links in schizophrenia transcriptomes.

scholarly journals Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer

2021 ◽  
Author(s):  
Kevin Chappell ◽  
Kanishka Manna ◽  
Charity L. Washam ◽  
Stefan Graw ◽  
Duah Alkam ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Integration ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Biological Pathways ◽  
Omics Data ◽  
Insight Into ◽  
Omics Data Integration

Multi-omics data integration of triple negative breast cancer (TNBC) provides insight into biological pathways.

scholarly journals Challenges with Approved Targeted Therapies against Recurrent Mutations in CLL: A Place for New Actionable Targets

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3150
Author(s):  
Irene López-Oreja ◽  
Heribert Playa-Albinyana ◽  
Fabián Arenas ◽  
Mónica López-Guerra ◽  
Dolors Colomer
Keyword(s):  
Chronic Lymphocytic Leukemia ◽  
Targeted Therapies ◽  
Biological Pathways ◽  
Lymphocytic Leukemia ◽  
Pi3k Inhibitors ◽  
Recurrent Mutations ◽  
Treatment Responses ◽  
Few Data ◽  
High Degree ◽  
Btk Inhibitors

Chronic lymphocytic leukemia (CLL) is characterized by a high degree of genetic variability and interpatient heterogeneity. In the last decade, novel alterations have been described. Some of them impact on the prognosis and evolution of patients. The approval of BTK inhibitors, PI3K inhibitors and Bcl-2 inhibitors has drastically changed the treatment of patients with CLL. The effect of these new targeted therapies has been widely analyzed in TP53-mutated cases, but few data exist about the response of patients carrying other recurrent mutations. In this review, we describe the biological pathways recurrently altered in CLL that might have an impact on the response to these new therapies together with the possibility to use new actionable targets to optimize treatment responses.

scholarly journals GENETICS OF HYPERTENSION ENDOPHENOTYPES AND METABOLIC TRAITS HIGHLIGHTS SHARED BIOLOGICAL PATHWAYS

2019 ◽  
Vol 37 ◽  
pp. e75
Author(s):  
Yu. Timasheva ◽  
L. Zudina ◽  
Zh. Balkhiyarova ◽  
M. Kaakinen ◽  
P. Munroe ◽  
...  
Keyword(s):  
Biological Pathways ◽  
Metabolic Traits

scholarly journals Reactome - a curated knowledgebase of biological pathways: megakaryocytes and platelets

2012 ◽  
Vol 10 (11) ◽  
pp. 2399-2402 ◽  
Author(s):  
S. JUPE ◽  
J. W. AKKERMAN ◽  
N. SORANZO ◽  
W. H. OUWEHAND
Keyword(s):  
Biological Pathways
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