Measuring and analyzing tissue specificity of human genes and protein complexes
Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue occurrence is important for understanding biological processes. Therefore, we analyzed microarray and high-throughput RNA-sequencing data to identify tissue-specific and universally expressed...
| Main Authors: | , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
BioMed Central
2011
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3186740/ |
| id |
pubmed-3186740 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-31867402011-10-05 Measuring and analyzing tissue specificity of human genes and protein complexes Emig, Dorothea Kacprowski, Tim Albrecht, Mario Research Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue occurrence is important for understanding biological processes. Therefore, we analyzed microarray and high-throughput RNA-sequencing data to identify tissue-specific and universally expressed genes. Gene expression data were used to investigate the presence of proteins, protein interactions and protein complexes in different tissues. Our comparison shows that the detection of tissue-specific genes and proteins strongly depends on the applied measurement technique. We found that microarrays are less sensitive for low expressed genes than high-throughput sequencing. Functional analyses based on microarray data are thus biased towards high expressed genes. This also means that previous biological findings based on microarrays might have to be re-examined using high-throughput sequencing results. BioMed Central 2011 2011-08-04 /pmc/articles/PMC3186740/ /pubmed/21970702 http://dx.doi.org/10.1186/1687-4153-2011-5 Text en Copyright ©2011 Emig et al; licensee Springer. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Emig, Dorothea Kacprowski, Tim Albrecht, Mario |
| spellingShingle |
Emig, Dorothea Kacprowski, Tim Albrecht, Mario Measuring and analyzing tissue specificity of human genes and protein complexes |
| author_facet |
Emig, Dorothea Kacprowski, Tim Albrecht, Mario |
| author_sort |
Emig, Dorothea |
| title |
Measuring and analyzing tissue specificity of human genes and protein complexes |
| title_short |
Measuring and analyzing tissue specificity of human genes and protein complexes |
| title_full |
Measuring and analyzing tissue specificity of human genes and protein complexes |
| title_fullStr |
Measuring and analyzing tissue specificity of human genes and protein complexes |
| title_full_unstemmed |
Measuring and analyzing tissue specificity of human genes and protein complexes |
| title_sort |
measuring and analyzing tissue specificity of human genes and protein complexes |
| description |
Proteins and their interactions are essential for the survival of each human cell. Knowledge of their tissue occurrence is important for understanding biological processes. Therefore, we analyzed microarray and high-throughput RNA-sequencing data to identify tissue-specific and universally expressed genes. Gene expression data were used to investigate the presence of proteins, protein interactions and protein complexes in different tissues. Our comparison shows that the detection of tissue-specific genes and proteins strongly depends on the applied measurement technique. We found that microarrays are less sensitive for low expressed genes than high-throughput sequencing. Functional analyses based on microarray data are thus biased towards high expressed genes. This also means that previous biological findings based on microarrays might have to be re-examined using high-throughput sequencing results. |
| publisher |
BioMed Central |
| publishDate |
2011 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3186740/ |
| _version_ |
1611479212562055168 |