<i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins
Amoebiasis is caused by <i>Entamoeba histolytica</i> and ranked second for parasitic diseases causing death after malaria. <i>E.</i> <i>histolytica</i> membrane and cytosolic proteins play important roles in the pathogenesis. Our previous study had shown several c...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Membranes |
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| Online Access: | https://www.mdpi.com/2077-0375/11/6/376 |
| _version_ | 1797533206952542208 |
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| author | Norhidayah Azmi Nurulhasanah Othman |
| author_facet | Norhidayah Azmi Nurulhasanah Othman |
| author_sort | Norhidayah Azmi |
| collection | DOAJ |
| description | Amoebiasis is caused by <i>Entamoeba histolytica</i> and ranked second for parasitic diseases causing death after malaria. <i>E.</i> <i>histolytica</i> membrane and cytosolic proteins play important roles in the pathogenesis. Our previous study had shown several cytosolic proteins were found in the membrane fraction. Therefore, this study aimed to quantify the differential abundance of membrane and cytosolic proteins in membrane versus cytosolic fractions and analyze their predicted functions and interaction. Previous LC-ESI-MS/MS data were analyzed by PERSEUS software for the differentially abundant proteins, then they were classified into their functional annotations and the protein networks were summarized using PantherDB and STRiNG, respectively. The results showed 24 (44.4%) out of the 54 proteins that increased in abundance were membrane proteins and 30 were cytosolic proteins. Meanwhile, 45 cytosolic proteins were found to decrease in abundance. Functional analysis showed differential abundance proteins involved in the molecular function, biological process, and cellular component with 18.88%, 33.04% and, 48.07%, respectively. The STRiNG server predicted that the decreased abundance proteins had more protein–protein network interactions compared to increased abundance proteins. Overall, this study has confirmed the presence of the differentially abundant membrane and cytosolic proteins and provided the predictive functions and interactions between them. |
| first_indexed | 2024-03-10T11:11:16Z |
| format | Article |
| id | doaj.art-66daa996112a4801be9f7b3ff2e08ec2 |
| institution | Directory Open Access Journal |
| issn | 2077-0375 |
| language | English |
| last_indexed | 2024-03-10T11:11:16Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Membranes |
| spelling | doaj.art-66daa996112a4801be9f7b3ff2e08ec22023-11-21T20:46:01ZengMDPI AGMembranes2077-03752021-05-0111637610.3390/membranes11060376<i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic ProteinsNorhidayah Azmi0Nurulhasanah Othman1Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang 11800, MalaysiaInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang 11800, MalaysiaAmoebiasis is caused by <i>Entamoeba histolytica</i> and ranked second for parasitic diseases causing death after malaria. <i>E.</i> <i>histolytica</i> membrane and cytosolic proteins play important roles in the pathogenesis. Our previous study had shown several cytosolic proteins were found in the membrane fraction. Therefore, this study aimed to quantify the differential abundance of membrane and cytosolic proteins in membrane versus cytosolic fractions and analyze their predicted functions and interaction. Previous LC-ESI-MS/MS data were analyzed by PERSEUS software for the differentially abundant proteins, then they were classified into their functional annotations and the protein networks were summarized using PantherDB and STRiNG, respectively. The results showed 24 (44.4%) out of the 54 proteins that increased in abundance were membrane proteins and 30 were cytosolic proteins. Meanwhile, 45 cytosolic proteins were found to decrease in abundance. Functional analysis showed differential abundance proteins involved in the molecular function, biological process, and cellular component with 18.88%, 33.04% and, 48.07%, respectively. The STRiNG server predicted that the decreased abundance proteins had more protein–protein network interactions compared to increased abundance proteins. Overall, this study has confirmed the presence of the differentially abundant membrane and cytosolic proteins and provided the predictive functions and interactions between them.https://www.mdpi.com/2077-0375/11/6/376<i>Entamoeba histolytica</i>membrane proteincytosolic proteindifferential protein abundancefunctional annotationprotein–protein interaction |
| spellingShingle | Norhidayah Azmi Nurulhasanah Othman <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins Membranes <i>Entamoeba histolytica</i> membrane protein cytosolic protein differential protein abundance functional annotation protein–protein interaction |
| title | <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins |
| title_full | <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins |
| title_fullStr | <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins |
| title_full_unstemmed | <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins |
| title_short | <i>Entamoeba histolytica</i>: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins |
| title_sort | i entamoeba histolytica i proteomics bioinformatics reveal predictive functions and protein protein interactions of differentially abundant membrane and cytosolic proteins |
| topic | <i>Entamoeba histolytica</i> membrane protein cytosolic protein differential protein abundance functional annotation protein–protein interaction |
| url | https://www.mdpi.com/2077-0375/11/6/376 |
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