Erythrocytes (red blood cells; RBCs) and their progenitors express distinct proteins, which underlie their unique biology, and which provide a molecular basis for many blood diseases, including diverse anemias, such as those arising during renal failures as a result of low red blood cell production and lifespan. Importantly, mammalian RBCs lack nuclei and other major organelles, and hence neither transcriptional profiling by RNA- sequencing nor recombinant transfection?powerful techniques in other cell types?can be used to reveal RBC gene functions and pathways. Proteomics methods, in contrast, allow for a detailed analysis of RBC proteins, and pioneering studies have revealed that RBCs, while dominated by hemoglobin (98%), express on the order of 1,500 to 2,000 distinct proteins. Many of these proteins play critical roles in erythrocyte function, including key metabolic and bioenergy roles, and cytoskeletal roles in controlling RBC cell shape. More than 500 proteins in RBCs are of entirely unknown function. A fundamental question in RBC biology is thus how all of these proteins work together to support proper RBC function and development. Building deep mechanistic understanding of RBC biology requires accurately delineating the precise membership of protein complexes specific to RBCs, as these carry out key functions unique to these cells. We propose to perform the first systematic, global exploration of native protein-protein interactions (PPIs) in RBCs, using a powerful new technology to examine those interactions directly among endogenous proteins in human and other mammalian RBCs. Our proposed experiments combine protein biochemistry, quantitative mass spectrometry proteomics and integrative computer modeling to reliably define the extended PPI networks and multiprotein complexes native to RBCs, helping to lay rich new mechanistic foundations for interpreting RBC biology. By the end of this grant, we will have performed nearly 2,000 mass spectrometry experiments on native protein complexes isolated from primary RBCs and their progenitors, defining the RBC interactome, including both shared and novel protein complexes, to an unprecedented degree. As a result of this work, RBCs will be the first primary human cell type with a near complete map of stable protein complexes, giving new insights into erythrocyte biology and development, and laying the foundation for future attempts to intervene, chemically or genetically, in diseases affecting these critical cells.

Public Health Relevance

All mammals have red blood cells?essential for blood oxygen transport and waste removal?that lack nuclei and major organelles, but which contain approximately two thousand distinct proteins interacting in specific ways to control red blood cell function, shape, and immunoregulatory properties. Defects in red blood cell production or function lead to a wide variety of anemias, and many diseases, such as renal failures, are exacerbated by accompanying anemias. This grant proposes systematic biochemical separations and mass spectrometry proteomics experiments on human, mouse, and rabbit red blood cells to understand the specific physical interactions among native red blood cell proteins by which they work together to effect proper red blood cell development and function.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project (R01)
Project #
5R01DK110520-02
Application #
9308950
Study Section
Genomics, Computational Biology and Technology Study Section (GCAT)
Program Officer
Roy, Cindy
Project Start
2016-07-01
Project End
2019-05-31
Budget Start
2017-06-01
Budget End
2018-05-31
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78759
Sandhu, Charanjit; Qureshi, Alia; Emili, Andrew (2018) Panomics for Precision Medicine. Trends Mol Med 24:85-101
Akhmetov, Azat; Laurent, Jon M; Gollihar, Jimmy et al. (2018) Single-step Precision Genome Editing in Yeast Using CRISPR-Cas9. Bio Protoc 8:
Akhmetov, Azat; Ellington, Andrew D; Marcotte, Edward M (2018) A highly parallel strategy for storage of digital information in living cells. BMC Biotechnol 18:64
Verbeke, Eric J; Mallam, Anna L; Drew, Kevin et al. (2018) Classification of Single Particles from Human Cell Extract Reveals Distinct Structures. Cell Rep 24:259-268.e3
Kachroo, Aashiq H; Laurent, Jon M; Akhmetov, Azat et al. (2017) Systematic bacterialization of yeast genes identifies a near-universally swappable pathway. Elife 6:
Drew, Kevin; Lee, Chanjae; Huizar, Ryan L et al. (2017) Integration of over 9,000 mass spectrometry experiments builds a global map of human protein complexes. Mol Syst Biol 13:932
Mallam, Anna L; Marcotte, Edward M (2017) Systems-wide Studies Uncover Commander, a Multiprotein Complex Essential to Human Development. Cell Syst 4:483-494
Horton, Andrew P; Robotham, Scott A; Cannon, Joe R et al. (2017) Comprehensive de Novo Peptide Sequencing from MS/MS Pairs Generated through Complementary Collision Induced Dissociation and 351 nm Ultraviolet Photodissociation. Anal Chem 89:3747-3753
Drew, Kevin; Müller, Christian L; Bonneau, Richard et al. (2017) Identifying direct contacts between protein complex subunits from their conditional dependence in proteomics datasets. PLoS Comput Biol 13:e1005625