Kidney mRNA-protein expression correlation : what can we learn from the Human Protein Atlas?
Acoba, Dianne LU
and Reznichenko, Anna
(2025)
In Journal of Nephrology
38(1).
p.135-141
- Abstract
BACKGROUND: The Human Protein Atlas, with more than 10 million immunohistochemical images showing tissue- and cell-specific protein expression levels and subcellular localization information, is widely used in kidney research. The Human Protein Atlas contains comprehensive data on multi-tissue transcript and protein abundance, allowing for comparisons across tissues. However, while visual and intuitive to interpret, immunohistochemistry is limited by its semi-quantitative nature. This can lead to mismatches in protein expression measurements across different platforms.
METHODS: We performed a comparison of the Human Protein Atlas' kidney-specific RNA sequencing and immunohistochemistry data to determine whether the mRNA and... (More)
BACKGROUND: The Human Protein Atlas, with more than 10 million immunohistochemical images showing tissue- and cell-specific protein expression levels and subcellular localization information, is widely used in kidney research. The Human Protein Atlas contains comprehensive data on multi-tissue transcript and protein abundance, allowing for comparisons across tissues. However, while visual and intuitive to interpret, immunohistochemistry is limited by its semi-quantitative nature. This can lead to mismatches in protein expression measurements across different platforms.
METHODS: We performed a comparison of the Human Protein Atlas' kidney-specific RNA sequencing and immunohistochemistry data to determine whether the mRNA and protein abundance levels are concordant.
RESULTS: Our study shows that there is a discordance between mRNA and protein expression in the kidney based on the Human Protein Atlas data. Using an external validation mass spectrometry dataset, we show that more than 500 proteins undetected by immunohistochemistry are robustly measured by mass spectrometry. The Human Protein Atlas transcriptome data, on the other hand, exhibit similar transcript detection levels as other kidney RNA-seq datasets.
CONCLUSIONS: Discordance in mRNA-protein expression could be due to both biological and technical reasons, such as transcriptional dynamics, translation rates, protein half-lives, and measurement errors. This is further complicated by the heterogeneity of the kidney tissue itself, which can increase the discordance if the cell populations or tissue compartment samples do not match. As such, shedding light on the mRNA-protein relationship of the kidney-specific Human Protein Atlas data can provide context to our scientific inferences on renal gene and protein quantification.
(Less)
- author
- Acoba, Dianne
LU
and Reznichenko, Anna
- publishing date
- 2025-01
- type
- Contribution to journal
- publication status
- published
- keywords
- Humans, RNA, Messenger/metabolism, Kidney/metabolism, Immunohistochemistry, Transcriptome, Proteomics/methods, Mass Spectrometry
- in
- Journal of Nephrology
- volume
- 38
- issue
- 1
- pages
- 135 - 141
- publisher
- Springer
- external identifiers
-
- scopus:85208792786
- pmid:39523224
- ISSN
- 1724-6059
- DOI
- 10.1007/s40620-024-02126-z
- language
- English
- LU publication?
- no
- additional info
- © 2024. The Author(s).
- id
- d930a433-89a8-4956-8162-0622347ad853
- date added to LUP
- 2025-04-13 03:41:18
- date last changed
- 2025-06-08 07:59:37
@article{d930a433-89a8-4956-8162-0622347ad853,
abstract = {{<p>BACKGROUND: The Human Protein Atlas, with more than 10 million immunohistochemical images showing tissue- and cell-specific protein expression levels and subcellular localization information, is widely used in kidney research. The Human Protein Atlas contains comprehensive data on multi-tissue transcript and protein abundance, allowing for comparisons across tissues. However, while visual and intuitive to interpret, immunohistochemistry is limited by its semi-quantitative nature. This can lead to mismatches in protein expression measurements across different platforms.</p><p>METHODS: We performed a comparison of the Human Protein Atlas' kidney-specific RNA sequencing and immunohistochemistry data to determine whether the mRNA and protein abundance levels are concordant.</p><p>RESULTS: Our study shows that there is a discordance between mRNA and protein expression in the kidney based on the Human Protein Atlas data. Using an external validation mass spectrometry dataset, we show that more than 500 proteins undetected by immunohistochemistry are robustly measured by mass spectrometry. The Human Protein Atlas transcriptome data, on the other hand, exhibit similar transcript detection levels as other kidney RNA-seq datasets.</p><p>CONCLUSIONS: Discordance in mRNA-protein expression could be due to both biological and technical reasons, such as transcriptional dynamics, translation rates, protein half-lives, and measurement errors. This is further complicated by the heterogeneity of the kidney tissue itself, which can increase the discordance if the cell populations or tissue compartment samples do not match. As such, shedding light on the mRNA-protein relationship of the kidney-specific Human Protein Atlas data can provide context to our scientific inferences on renal gene and protein quantification.</p>}},
author = {{Acoba, Dianne and Reznichenko, Anna}},
issn = {{1724-6059}},
keywords = {{Humans; RNA, Messenger/metabolism; Kidney/metabolism; Immunohistochemistry; Transcriptome; Proteomics/methods; Mass Spectrometry}},
language = {{eng}},
number = {{1}},
pages = {{135--141}},
publisher = {{Springer}},
series = {{Journal of Nephrology}},
title = {{Kidney mRNA-protein expression correlation : what can we learn from the Human Protein Atlas?}},
url = {{http://dx.doi.org/10.1007/s40620-024-02126-z}},
doi = {{10.1007/s40620-024-02126-z}},
volume = {{38}},
year = {{2025}},
}