1
|
Loreto ELS, Melo ESD, Wallau GL, Gomes TMFF. The good, the bad and the ugly of transposable elements annotation tools. Genet Mol Biol 2024; 46:e20230138. [PMID: 38373163 PMCID: PMC10876081 DOI: 10.1590/1678-4685-gmb-2023-0138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 11/26/2023] [Indexed: 02/21/2024] Open
Abstract
Transposable elements are repetitive and mobile DNA segments that can be found in virtually all organisms investigated to date. Their complex structure and variable nature are particularly challenging from the genomic annotation point of view. Many softwares have been developed to automate and facilitate TEs annotation at the genomic level, but they are highly heterogeneous regarding documentation, usability and methods. In this review, we revisited the existing software for TE genomic annotation, concentrating on the most often used ones, the methodologies they apply, and usability. Building on the state of the art of TE annotation software we propose best practices and highlight the strengths and weaknesses from the available solutions.
Collapse
Affiliation(s)
- Elgion L S Loreto
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
- Universidade Federal de Santa Maria, Departamento de Bioquímica e Biologia Molecular, Santa Maria, RS, Brazil
| | - Elverson S de Melo
- Fundação Oswaldo Cruz, Instituto Aggeu Magalhães, Departamento de Entomologia, Recife, PE, Brazil
| | - Gabriel L Wallau
- Fundação Oswaldo Cruz, Instituto Aggeu Magalhães, Departamento de Entomologia, Recife, PE, Brazil
| | - Tiago M F F Gomes
- Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Genética e Biologia Molecular, Porto Alegre, RS, Brazil
| |
Collapse
|
2
|
Escobedo N, Monzon AM, Fornasari MS, Palopoli N, Parisi G. Combining Protein Conformational Diversity and Phylogenetic Information Using CoDNaS and CoDNaS-Q. Curr Protoc 2023; 3:e764. [PMID: 37184204 DOI: 10.1002/cpz1.764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
CoDNaS (http://ufq.unq.edu.ar/codnas/) and CoDNaS-Q (http://ufq.unq.edu.ar/codnasq) are repositories of proteins with different degrees of conformational diversity. Following the ensemble nature of the native state, conformational diversity represents the structural differences between the conformers in the ensemble. Each entry in CoDNaS and CoDNaS-Q contains a redundant collection of experimentally determined conformers obtained under different conditions. These conformers represent snapshots of the protein dynamism. While CoDNaS contains examples of conformational diversity at the tertiary level, a recent development, CoDNaS-Q, contains examples at the quaternary level. In the emerging age of accurate protein structure prediction by machine learning approaches, many questions remain open regarding the characterization of protein dynamism. In this context, most bioinformatics resources take advantage of distinct features derived from protein alignments, however, the complexity and heterogeneity of information makes it difficult to recover reliable biological signatures. Here we present five protocols to explore tertiary and quaternary conformational diversity at the individual protein level as well as for the characterization of the distribution of conformational diversity at the protein family level in a phylogenetic context. These protocols can provide curated protein families with experimentally known conformational diversity, facilitating the exploration of sequence determinants of protein dynamism. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Assessing conformational diversity with CoDNaS Alternate Protocol 1: Assessing conformational diversity at the quaternary level with CoDNaS-Q Basic Protocol 2: Exploring conformational diversity in a protein family Alternate Protocol 2: Exploring quaternary conformational diversity in a protein family Basic Protocol 3: Representing conformational diversity in a phylogenetic context.
Collapse
Affiliation(s)
- Nahuel Escobedo
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Bernal, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | | | - María Silvina Fornasari
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Bernal, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Nicolas Palopoli
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Bernal, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Gustavo Parisi
- Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Bernal, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| |
Collapse
|
4
|
Abel B, Murakami M, Tosh DK, Yu J, Lusvarghi S, Campbell RG, Gao ZG, Jacobson KA, Ambudkar SV. Interaction of A 3 adenosine receptor ligands with the human multidrug transporter ABCG2. Eur J Med Chem 2022; 231:114103. [PMID: 35152062 PMCID: PMC8893036 DOI: 10.1016/j.ejmech.2022.114103] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 01/03/2022] [Accepted: 01/06/2022] [Indexed: 12/19/2022]
Abstract
Various adenosine receptor nucleoside-like ligands were found to modulate ATP hydrolysis by the multidrug transporter ABCG2. Both ribose-containing and rigidified (N)-methanocarba nucleosides (C2-, N6- and 5'-modified), as well as adenines (C2-, N6-, and deaza modified), were included. 57 compounds out of 63 tested either stimulated (50) or inhibited (7) basal ATPase activity. Structure-activity analysis showed a separation of adenosine receptor and ABCG2 activities. The 7-deaza modification had favorable effects in both (N)-methanocarba nucleosides and adenines. Adenine 37c (MRS7608) and (N)-methanocarba 7-deaza-5'-ethyl ester 60 (MRS7343) were found to be potent stimulators of ABCG2 ATPase activity with EC50 values of 13.2 ± 1.7 and 13.2 ± 2.2 nM, respectively. Both had affinity in the micromolar range for A3 adenosine receptor and lacked the 5'-amide agonist-enabling group (37c was reported as a weak A3 antagonist, Ki 6.82 μM). Compound 60 significantly inhibited ABCG2 substrate transport (IC50 0.44 μM). Docking simulations predicted the interaction of 60 with 21 residues in the drug-binding pocket of ABCG2.
Collapse
Affiliation(s)
- Biebele Abel
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute (BA, MM, SL, SVA), USA
| | - Megumi Murakami
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute (BA, MM, SL, SVA), USA
| | - Dilip K Tosh
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases (DKT, JY, RGC, ZGG, KAJ), National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jinha Yu
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases (DKT, JY, RGC, ZGG, KAJ), National Institutes of Health, Bethesda, MD, 20892, USA
| | - Sabrina Lusvarghi
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute (BA, MM, SL, SVA), USA
| | - Ryan G Campbell
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases (DKT, JY, RGC, ZGG, KAJ), National Institutes of Health, Bethesda, MD, 20892, USA
| | - Zhan-Guo Gao
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases (DKT, JY, RGC, ZGG, KAJ), National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kenneth A Jacobson
- Molecular Recognition Section, Laboratory of Bioorganic Chemistry, National Institute of Diabetes and Digestive and Kidney Diseases (DKT, JY, RGC, ZGG, KAJ), National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Suresh V Ambudkar
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute (BA, MM, SL, SVA), USA.
| |
Collapse
|
5
|
Drug Resistance and Endoplasmic Reticulum Stress in Hepatocellular Carcinoma. Cells 2022; 11:cells11040632. [PMID: 35203283 PMCID: PMC8870354 DOI: 10.3390/cells11040632] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 01/27/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most common and deadly cancers worldwide. It is usually diagnosed in an advanced stage and is characterized by a high intrinsic drug resistance, leading to limited chemotherapeutic efficacy and relapse after treatment. There is therefore a vast need for understanding underlying mechanisms that contribute to drug resistance and for developing therapeutic strategies that would overcome this. The rapid proliferation of tumor cells, in combination with a highly inflammatory microenvironment, causes a chronic increase of protein synthesis in different hepatic cell populations. This leads to an intensified demand of protein folding, which inevitably causes an accumulation of misfolded or unfolded proteins in the lumen of the endoplasmic reticulum (ER). This process is called ER stress and triggers the unfolded protein response (UPR) in order to restore protein synthesis or—in the case of severe or prolonged ER stress—to induce cell death. Interestingly, the three different arms of the ER stress signaling pathways have been shown to drive chemoresistance in several tumors and could therefore form a promising therapeutic target. This review provides an overview of how ER stress and activation of the UPR contributes to drug resistance in HCC.
Collapse
|