Actin Filaments

Actin filaments, in the form of microfilaments, are one of three major components of the cytoskeleton. In addition, actin forms thin filaments, which are part of the contractile apparatus in muscle cells. Focal adhesions are large protein complexes that link the actin cytoskeleton to the extracellular matrix (ECM). Examples of proteins localized to these structures can be seen in Figure 1. Actin filaments and focal adhesions provide an important structural framework and signal transduction system that plays essential roles in cell morphology and polarity, organization of organelles, motility, mitosis, cytokinesis, and cell signaling (Pollard TD et al. (2009),Alberts B et al, 2002). Dynamic remodeling of the actin network provides a mode of regulating cellular morphology, organization and motility in response to various chemical and mechanical signals (Mitchison TJ et al. (1996)). Dysfunction of proteins in the actin and focal adhesion proteomes have been linked to several severe diseases, including muscular disorders and cancers.

In the subcellular section, 360 genes (2% of all protein-coding human genes) have been shown to encode proteins that localize to actin filaments or focal adhesion sites (Figure 2). A Gene Ontology (GO)-based functional enrichment analysis of the core actin proteins reveals enrichment of terms describing biological processes related to actin binding, cytoskeletal organization, and cell signaling. Roughly 83% (n=297) of the proteins that localize to actin filaments also localize to at least one additional cellular compartment. Two of the most common additional localizations observed with actin filaments are the cytsol and the plasma membrane, which is where actin monomers and actin binding proteins (ABPs) polymerize.


SEPTIN9 - A-431

CNN3 - U2OS

FGD4 - A-431


PXN - U2OS

TNS1 - U2OS

ZYX - A-431

Figure 1. Examples of proteins localized to the actin filaments and focal adhesions. SEPTIN9 is a highly conserved actin binding protein necessary for cell cycle progression and cytokinesis (shown in A-431 cells). CNN3 is an actin-binding protein that is involved in regulation of smooth muscle contraction (shown in U2OS cells). FGD4 is an actin binding protein that regulates cell shape (shown in A-431 cells). PXN is a member of the focal adhesion complex that binds actin filaments (shown in U2OS cells). TNS1 is another member of the focal adhesion complex that binds actin filaments (shown in U2OS cells). ZYX is also a member of the focal adhesion complex that binds actin filaments and may be involved in extracellular signal transduction (shown in A-431 cells).

  • 2% (360 proteins) of all human proteins have been experimentally detected in the actin filaments by the Human Protein Atlas.
  • 84 proteins in the actin filaments are supported by experimental evidence and out of these 23 proteins are enhanced by the Human Protein Atlas.
  • 297 proteins in the actin filaments have multiple locations.
  • 37 proteins in the actin filaments show a cell to cell variation. Of these 34 show a variation in intensity and 3 a spatial variation.

  • Actin filament proteins are mainly involved in cellular organization.

Figure 2. 2% of all human protein-coding genes encode proteins localized to actin filaments or focal adhesions. Each bar is clickable and gives a search result of proteins that belong to the selected category.

The structure of actin filaments

Substructures

  • Actin filaments: 239
  • Focal adhesion sites: 139
  • Cleavage furrow: 1

Actin is a highly conserved family of proteins that are abundant in eukaryotic cells. In humans, there are three major types of actin; α-actin is found in contractile structures in muscle cells, while β-actin and γ-actin are prominent in different structures in non-muscle cells. Actin proteins have a characteristic globular structure with an ATP-binding site and ATP hydrolytic activity. Monomers of actin (G-actin) can polymerize into long filaments (F-actin) with a helical structure of around 7 nm in diameter. Due to the fact that all subunits of F-actin are oriented in the same direction, the filaments have a polarized structure with a pointed (-) end and a barbed (+) end. Individual actin filaments can branch as well as bundle together forming an elaborate network, together with associated proteins, regulatory factors and motor proteins, known as the actin cytoskeleton.

The actin cytoskeleton is generally more prominent near the plasma membrane, where focal adhesions provide important mechanical links to the ECM. Focal adhesions are large multi-protein structures with a highly dynamic composition. An important constituent is a group of transmembrane proteins called integrins, with an intracellular part that binds to the cytoskeleton via adaptor proteins and an extracellular part that binds to various components of the ECM.

Actin, together with myosin-II motor proteins, also play an important role during cytokinesis (Pollard TD et al. (2019)). During mitosis, actin and myosin-II are assembled into a contractile ring, positioned around the equator of the cell. Constriction of this ring results in the formation of a cleavage furrow, which continues to ingress until a cytokinetic bridge is formed. Table 1 provides a list of genes that may be used as markers for actin filaments and focal adhesions and Table 2 provides a list of highly expressed genes encoding proteins that localize to these structures.

Table 1. Selection of proteins suitable as markers for the actin filaments and focal adhesions .

Gene Description Substructure
SEPTIN9 Septin 9 Actin filaments
FGD4 FYVE, RhoGEF and PH domain containing 4 Actin filaments
ZYX Zyxin Actin filaments
Focal adhesion sites
Plasma membrane
ASAH2 N-acylsphingosine amidohydrolase 2 Focal adhesion sites
VCL Vinculin Focal adhesion sites

Table 2. Highly expressed single localizing actin and focal adhesion proteins across different cell lines.

Gene Description Average nTPM
SEPTIN9 Septin 9 205
VCL Vinculin 122
GSN Gelsolin 95
SEPTIN10 Septin 10 79
MTSS2 MTSS I-BAR domain containing 2 76
ACTA2 Actin alpha 2, smooth muscle 70
LAD1 Ladinin 1 45
TNS3 Tensin 3 43
SPECC1L Sperm antigen with calponin homology and coiled-coil domains 1 like 28
TNS1 Tensin 1 13

Actin polymerization and depolymerization are highly dynamic processes that are regulated by a large number of actin binding proteins (ABPs) (dos Remedios CG et al. (2003); Campellone KG et al. (2010); Rottner K et al. (2017)) (Actin Filament Assembly). The first step of polymerization is nucleation, which involves formation of short polymers stabilized by nucleating factors, such as FMN1 and LMOD2. Actin polymerization can also occur by branching from existing filaments with the help of the ARP2/3 complex (including ARPC1B). Nucleation is followed by an elongation phase, stimulated by elongation factors like FMN1, in which the filaments grows by further addition of actin monomers, preferentially to the barbed (+) end. As the monomers age in the filament, the bound ATP is hydrolyzed to ADP, which promotes dissociation. A steady-state dynamic equilibrium is reached when polymerization and depolymerization occurs at the same rate, but can rapidly be shifted by regulatory factors. Many of these regulatory factors are driven, at least in part, by the activity of specific members of the Rho family of small GTPases.

Actin filaments are typically found near the cell periphery, but the actin network may appear very different depending on the characteristics of a given cell type (Figure 3).


SEPTIN9 - A-431

SEPTIN9 - U2OS

SEPTIN9 - U-251MG

Figure 3. Examples of the morphology of actin filaments in different cell lines, represented by immunofluorescent staining of protein SEPTIN9 in A-431, U2OS and U-251 cells.


Figure 4. 3D-view of focal adhesions in U2OS, visualized by immunofluorescent staining of ZYX. The morphology of focal adhesions in human induced stem cells can be seen in the Allen Cell Explorer.

The function of actin filaments

It is well known that actin filaments and focal adhesions are the main regulators of cellular morphology and motility (Mitchison TJ et al. (1996); Pollard TD et al. (2009); Bird RP. (1987)). Myosin (TPM1) motors on these bundles can be used to exert large contractile forces for dynamically reshaping the cell as well as creating locomotion (HUXLEY AF et al. (1954); HUXLEY H et al. (1954)). The latter generally involves formation of actin-dependent prostrutions, like filopodia and lamellipodia (Svitkina T. (2018)). Actin filaments are also involved in endocytosis and provide important avenues for transport of cargo, especially organelles, throughout the cell. Again, motor proteins of the myosin family play an important role in the latter. Another important function of actin filaments is in cytokinesis, where a contractile ring of actin and myosin II is used to create a cleavage furrow and pinch the cell into two daughter cells.

Gene Ontology (GO) analysis of proteins localized to actin filaments and focal adhesions show enrichment of terms describing biological processes and molecular functions in line with known functions of the actin cytoskeleton (Figure 5). The most highly enriched terms for Biological Process are integrin-mediated signaling, regulation of cell shape and cytokinesis. The most highly enriched terms for Molecular Function are binding to different components of the actin cytoskeleton, microfilament motor activity and cell adhesion mediator activity.

Figure 5a Gene Ontology-based enrichment analysis for the actin filament proteome showing the significantly enriched terms for the GO domain Biological Process. Each bar is clickable and gives a search result of proteins that belong to the selected category.

Figure 5b Gene Ontology-based enrichment analysis for the actin filament proteome showing the significantly enriched terms for the GO domain Molecular Function. Each bar is clickable and gives a search result of proteins that belong to the selected category.

Actin filament proteins with multiple locations

Among proteins that localize to actin filaments and focal adhesions in the subcellular section, 83% (n=297) are also detected in other cellular compartments (Figure 6). The network plot shows that the most common locations shared with the actin cytoskeleton are the plasma membrane and the cytosol, and thesedual localization are significantly over-represented among the proteins in the subcellular section (Figure 6, blue, see Figure 7 for example). This may reflect the role of the actin cytoskeleton in transducing mechanical forces and signals across the plasma membrane, and in controlling the shape of the cell cortex. The cytosol, in turn, is where non-polymerized globular actin and actin associated proteins localize Both the cytosol and the plasmamembrane may also contain many proteins that are recruited to actin filaments under certain conditions. Examples of multilocalizing proteins within the actin filament proteome can be seen in Figure 7.

Figure 6. Interactive network plot of actin filament and focal adhesion proteins with multiple localizations. The numbers in the connecting nodes show the proteins that are localized to actin filaments or focal adhesions and to one or more additional locations. Only connecting nodes containing more than one protein and at least 0.7% of proteins in the actin filaments and focal adhesion proteome are shown. The circle sizes are related to the number of proteins. The cyan colored nodes show combinations that are significantly overrepresented, while magenta colored nodes show combinations that are significantly underrepresented as compared to the probability of observing that combination based on the frequency of each annotation and a hypergeometric test (p≤0.05). Note that this calculation is only done for proteins with dual localizations. Each node is clickable and results in a list of all proteins that are found in the connected organelles.


PDLIM7 - U-251MG

LIMA1 - U2OS

WASHC3 - U2OS

Figure 7. Examples of multilocalizing proteins in the actin filament and focal adhesion proteome. The first two examples show common or overrepresented combinations for multilocalizing proteins in the actin filament and focal adhesion proteome while the last shows an example of the underrepresented overlap between this proteome and vesicles. PDLIM7 is likely an adapter protein that is involved in the assembly of actin filaments and focal adhesions (shown in U-251 MG cells). LIMA1 is another member of the LIM family of proteins and can be found at the actin filaments, focal adhesion sites, plasma membrane and cytoplasm. It inhibits actin filament depolymerization and stabilizes filaments via crosslinking of filament bundles (shown in U2OS cells). WASHC3 is a vesicle (endosome)-associated protein that is involved in the regulation of actin polymerization through interactions with ARP 2/3 (shown in U2OS cells).

Expression levels of actin filaments proteins in tissue

Transcriptome analysis and classification of genes into tissue distribution categories (Figure 8) shows that genes encoding proteins that localize to actin filaments and focal adhesion sites are more likely to be expressed in many tissues, but less likely to be detected in all tissues, compared to all genes presented in the subcellular section. Thus, these genes tend to show a somewhat more restricted pattern of tissue expression compared to other genes, likely reflecting the more prominent role of actin in certain cell types.

Figure 8. Bar plot showing the percentage of genes in different tissue distribution categories for actin filaments-associated protein-coding genes compared to all genes in the Subcellular Section. Asterisk marks a statistically significant deviation (p≤0.05) in the number of genes in a category based on a binomial statistical test. Each bar is clickable and gives a search result of proteins that belong to the selected category.

Relevant links and publications

Uhlen M et al., A proposal for validation of antibodies. Nat Methods. (2016)
PubMed: 27595404 DOI: 10.1038/nmeth.3995

Stadler C et al., Systematic validation of antibody binding and protein subcellular localization using siRNA and confocal microscopy. J Proteomics. (2012)
PubMed: 22361696 DOI: 10.1016/j.jprot.2012.01.030

Poser I et al., BAC TransgeneOmics: a high-throughput method for exploration of protein function in mammals. Nat Methods. (2008)
PubMed: 18391959 DOI: 10.1038/nmeth.1199

Skogs M et al., Antibody Validation in Bioimaging Applications Based on Endogenous Expression of Tagged Proteins. J Proteome Res. (2017)
PubMed: 27723985 DOI: 10.1021/acs.jproteome.6b00821

Parikh K et al., Colonic epithelial cell diversity in health and inflammatory bowel disease. Nature. (2019)
PubMed: 30814735 DOI: 10.1038/s41586-019-0992-y

Wang L et al., Single-cell reconstruction of the adult human heart during heart failure and recovery reveals the cellular landscape underlying cardiac function. Nat Cell Biol. (2020)
PubMed: 31915373 DOI: 10.1038/s41556-019-0446-7

Wang Y et al., Single-cell transcriptome analysis reveals differential nutrient absorption functions in human intestine. J Exp Med. (2020)
PubMed: 31753849 DOI: 10.1084/jem.20191130

Liao J et al., Single-cell RNA sequencing of human kidney. Sci Data. (2020)
PubMed: 31896769 DOI: 10.1038/s41597-019-0351-8

MacParland SA et al., Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations. Nat Commun. (2018)
PubMed: 30348985 DOI: 10.1038/s41467-018-06318-7

Vento-Tormo R et al., Single-cell reconstruction of the early maternal-fetal interface in humans. Nature. (2018)
PubMed: 30429548 DOI: 10.1038/s41586-018-0698-6

Chen J et al., PBMC fixation and processing for Chromium single-cell RNA sequencing. J Transl Med. (2018)
PubMed: 30016977 DOI: 10.1186/s12967-018-1578-4

Qadir MMF et al., Single-cell resolution analysis of the human pancreatic ductal progenitor cell niche. Proc Natl Acad Sci U S A. (2020)
PubMed: 32354994 DOI: 10.1073/pnas.1918314117

Solé-Boldo L et al., Single-cell transcriptomes of the human skin reveal age-related loss of fibroblast priming. Commun Biol. (2020)
PubMed: 32327715 DOI: 10.1038/s42003-020-0922-4

Lukassen S et al., SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells. EMBO J. (2020)
PubMed: 32246845 DOI: 10.15252/embj.20105114

De Micheli AJ et al., A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations. Skelet Muscle. (2020)
PubMed: 32624006 DOI: 10.1186/s13395-020-00236-3

Hildreth AD et al., Single-cell sequencing of human white adipose tissue identifies new cell states in health and obesity. Nat Immunol. (2021)
PubMed: 33907320 DOI: 10.1038/s41590-021-00922-4

He S et al., Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs. Genome Biol. (2020)
PubMed: 33287869 DOI: 10.1186/s13059-020-02210-0

Tabula Sapiens Consortium* et al., The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans. Science. (2022)
PubMed: 35549404 DOI: 10.1126/science.abl4896

Menon M et al., Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration. Nat Commun. (2019)
PubMed: 31653841 DOI: 10.1038/s41467-019-12780-8

Bhat-Nakshatri P et al., A single-cell atlas of the healthy breast tissues reveals clinically relevant clusters of breast epithelial cells. Cell Rep Med. (2021)
PubMed: 33763657 DOI: 10.1016/j.xcrm.2021.100219

Man L et al., Comparison of Human Antral Follicles of Xenograft versus Ovarian Origin Reveals Disparate Molecular Signatures. Cell Rep. (2020)
PubMed: 32783948 DOI: 10.1016/j.celrep.2020.108027

Guo J et al., The adult human testis transcriptional cell atlas. Cell Res. (2018)
PubMed: 30315278 DOI: 10.1038/s41422-018-0099-2

Wang W et al., Single-cell transcriptomic atlas of the human endometrium during the menstrual cycle. Nat Med. (2020)
PubMed: 32929266 DOI: 10.1038/s41591-020-1040-z

Takahashi H et al., 5' end-centered expression profiling using cap-analysis gene expression and next-generation sequencing. Nat Protoc. (2012)
PubMed: 22362160 DOI: 10.1038/nprot.2012.005

Lein ES et al., Genome-wide atlas of gene expression in the adult mouse brain. Nature. (2007)
PubMed: 17151600 DOI: 10.1038/nature05453

Kircher M et al., Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform. Nucleic Acids Res. (2012)
PubMed: 22021376 DOI: 10.1093/nar/gkr771

Uhlén M et al., The human secretome. Sci Signal. (2019)
PubMed: 31772123 DOI: 10.1126/scisignal.aaz0274

Uhlen M et al., A genome-wide transcriptomic analysis of protein-coding genes in human blood cells. Science. (2019)
PubMed: 31857451 DOI: 10.1126/science.aax9198

Zhong W et al., The neuropeptide landscape of human prefrontal cortex. Proc Natl Acad Sci U S A. (2022)
PubMed: 35947618 DOI: 10.1073/pnas.2123146119

Sjöstedt E et al., An atlas of the protein-coding genes in the human, pig, and mouse brain. Science. (2020)
PubMed: 32139519 DOI: 10.1126/science.aay5947

Schubert M et al., Perturbation-response genes reveal signaling footprints in cancer gene expression. Nat Commun. (2018)
PubMed: 29295995 DOI: 10.1038/s41467-017-02391-6

Jiang P et al., Systematic investigation of cytokine signaling activity at the tissue and single-cell levels. Nat Methods. (2021)
PubMed: 34594031 DOI: 10.1038/s41592-021-01274-5

Jin L et al., Targeting of CD44 eradicates human acute myeloid leukemic stem cells. Nat Med. (2006)
PubMed: 16998484 DOI: 10.1038/nm1483

Magis AT et al., Untargeted longitudinal analysis of a wellness cohort identifies markers of metastatic cancer years prior to diagnosis. Sci Rep. (2020)
PubMed: 33004987 DOI: 10.1038/s41598-020-73451-z

Santarius T et al., GLO1-A novel amplified gene in human cancer. Genes Chromosomes Cancer. (2010)
PubMed: 20544845 DOI: 10.1002/gcc.20784

Berggrund M et al., Identification of Candidate Plasma Protein Biomarkers for Cervical Cancer Using the Multiplex Proximity Extension Assay. Mol Cell Proteomics. (2019)
PubMed: 30692274 DOI: 10.1074/mcp.RA118.001208

Virgilio L et al., Deregulated expression of TCL1 causes T cell leukemia in mice. Proc Natl Acad Sci U S A. (1998)
PubMed: 9520462 DOI: 10.1073/pnas.95.7.3885

Saberi Hosnijeh F et al., Proteomic markers with prognostic impact on outcome of chronic lymphocytic leukemia patients under chemo-immunotherapy: results from the HOVON 109 study. Exp Hematol. (2020)
PubMed: 32781097 DOI: 10.1016/j.exphem.2020.08.002

Gao L et al., Integrative analysis the characterization of peroxiredoxins in pan-cancer. Cancer Cell Int. (2021)
PubMed: 34246267 DOI: 10.1186/s12935-021-02064-x

Satelli A et al., Galectin-4 functions as a tumor suppressor of human colorectal cancer. Int J Cancer. (2011)
PubMed: 21064109 DOI: 10.1002/ijc.25750

Harlid S et al., A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk. Sci Rep. (2021)
PubMed: 33664295 DOI: 10.1038/s41598-021-83968-6

Sun X et al., Prospective Proteomic Study Identifies Potential Circulating Protein Biomarkers for Colorectal Cancer Risk. Cancers (Basel). (2022)
PubMed: 35805033 DOI: 10.3390/cancers14133261

Bhardwaj M et al., Comparison of Proteomic Technologies for Blood-Based Detection of Colorectal Cancer. Int J Mol Sci. (2021)
PubMed: 33530402 DOI: 10.3390/ijms22031189

Chen H et al., Head-to-Head Comparison and Evaluation of 92 Plasma Protein Biomarkers for Early Detection of Colorectal Cancer in a True Screening Setting. Clin Cancer Res. (2015)
PubMed: 26015516 DOI: 10.1158/1078-0432.CCR-14-3051

Thorsen SB et al., Detection of serological biomarkers by proximity extension assay for detection of colorectal neoplasias in symptomatic individuals. J Transl Med. (2013)
PubMed: 24107468 DOI: 10.1186/1479-5876-11-253

Mahboob S et al., A novel multiplexed immunoassay identifies CEA, IL-8 and prolactin as prospective markers for Dukes' stages A-D colorectal cancers. Clin Proteomics. (2015)
PubMed: 25987887 DOI: 10.1186/s12014-015-9081-x

He W et al., Attenuation of TNFSF10/TRAIL-induced apoptosis by an autophagic survival pathway involving TRAF2- and RIPK1/RIP1-mediated MAPK8/JNK activation. Autophagy. (2012)
PubMed: 23051914 DOI: 10.4161/auto.22145

Enroth S et al., A two-step strategy for identification of plasma protein biomarkers for endometrial and ovarian cancer. Clin Proteomics. (2018)
PubMed: 30519148 DOI: 10.1186/s12014-018-9216-y

Jung CS et al., Serum GFAP is a diagnostic marker for glioblastoma multiforme. Brain. (2007)
PubMed: 17998256 DOI: 10.1093/brain/awm263

Jaworski DM et al., BEHAB (brain enriched hyaluronan binding) is expressed in surgical samples of glioma and in intracranial grafts of invasive glioma cell lines. Cancer Res. (1996)
PubMed: 8625302 

Zhang X et al., CEACAM5 stimulates the progression of non-small-cell lung cancer by promoting cell proliferation and migration. J Int Med Res. (2020)
PubMed: 32993395 DOI: 10.1177/0300060520959478

Xu F et al., A Linear Discriminant Analysis Model Based on the Changes of 7 Proteins in Plasma Predicts Response to Anlotinib Therapy in Advanced Non-Small Cell Lung Cancer Patients. Front Oncol. (2021)
PubMed: 35070967 DOI: 10.3389/fonc.2021.756902

Dagnino S et al., Prospective Identification of Elevated Circulating CDCP1 in Patients Years before Onset of Lung Cancer. Cancer Res. (2021)
PubMed: 33574093 DOI: 10.1158/0008-5472.CAN-20-3454

Wik L et al., Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis. Mol Cell Proteomics. (2021)
PubMed: 34715355 DOI: 10.1016/j.mcpro.2021.100168

Zeiler M et al., A Protein Epitope Signature Tag (PrEST) library allows SILAC-based absolute quantification and multiplexed determination of protein copy numbers in cell lines. Mol Cell Proteomics. (2012)
PubMed: 21964433 DOI: 10.1074/mcp.O111.009613

Peng Y et al., Identification of key biomarkers associated with cell adhesion in multiple myeloma by integrated bioinformatics analysis. Cancer Cell Int. (2020)
PubMed: 32581652 DOI: 10.1186/s12935-020-01355-z

Gyllensten U et al., Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer. Cancers (Basel). (2022)
PubMed: 35406529 DOI: 10.3390/cancers14071757

Enroth S et al., High throughput proteomics identifies a high-accuracy 11 plasma protein biomarker signature for ovarian cancer. Commun Biol. (2019)
PubMed: 31240259 DOI: 10.1038/s42003-019-0464-9

Wang Z et al., DNER promotes epithelial-mesenchymal transition and prevents chemosensitivity through the Wnt/β-catenin pathway in breast cancer. Cell Death Dis. (2020)
PubMed: 32811806 DOI: 10.1038/s41419-020-02903-1

Liu S et al., Discovery of CASP8 as a potential biomarker for high-risk prostate cancer through a high-multiplex immunoassay. Sci Rep. (2021)
PubMed: 33828176 DOI: 10.1038/s41598-021-87155-5

Robinson JL et al., An atlas of human metabolism. Sci Signal. (2020)
PubMed: 32209698 DOI: 10.1126/scisignal.aaz1482

Uhlen M et al., A pathology atlas of the human cancer transcriptome. Science. (2017)
PubMed: 28818916 DOI: 10.1126/science.aan2507

Hikmet F et al., The protein expression profile of ACE2 in human tissues. Mol Syst Biol. (2020)
PubMed: 32715618 DOI: 10.15252/msb.20209610

Gordon DE et al., A SARS-CoV-2 protein interaction map reveals targets for drug repurposing. Nature. (2020)
PubMed: 32353859 DOI: 10.1038/s41586-020-2286-9

Karlsson M et al., A single-cell type transcriptomics map of human tissues. Sci Adv. (2021)
PubMed: 34321199 DOI: 10.1126/sciadv.abh2169

Jumper J et al., Highly accurate protein structure prediction with AlphaFold. Nature. (2021)
PubMed: 34265844 DOI: 10.1038/s41586-021-03819-2

Varadi M et al., AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res. (2022)
PubMed: 34791371 DOI: 10.1093/nar/gkab1061

Berman HM et al., The Protein Data Bank. Nucleic Acids Res. (2000)
PubMed: 10592235 DOI: 10.1093/nar/28.1.235

Pollard TD et al., Actin, a central player in cell shape and movement. Science. (2009)
PubMed: 19965462 DOI: 10.1126/science.1175862

Mitchison TJ et al., Actin-based cell motility and cell locomotion. Cell. (1996)
PubMed: 8608590 

Pollard TD et al., Molecular Mechanism of Cytokinesis. Annu Rev Biochem. (2019)
PubMed: 30649923 DOI: 10.1146/annurev-biochem-062917-012530

dos Remedios CG et al., Actin binding proteins: regulation of cytoskeletal microfilaments. Physiol Rev. (2003)
PubMed: 12663865 DOI: 10.1152/physrev.00026.2002

Campellone KG et al., A nucleator arms race: cellular control of actin assembly. Nat Rev Mol Cell Biol. (2010)
PubMed: 20237478 DOI: 10.1038/nrm2867

Rottner K et al., Actin assembly mechanisms at a glance. J Cell Sci. (2017)
PubMed: 29032357 DOI: 10.1242/jcs.206433

Bird RP., Observation and quantification of aberrant crypts in the murine colon treated with a colon carcinogen: preliminary findings. Cancer Lett. (1987)
PubMed: 3677050 DOI: 10.1016/0304-3835(87)90157-1

HUXLEY AF et al., Structural changes in muscle during contraction; interference microscopy of living muscle fibres. Nature. (1954)
PubMed: 13165697 

HUXLEY H et al., Changes in the cross-striations of muscle during contraction and stretch and their structural interpretation. Nature. (1954)
PubMed: 13165698 

Svitkina T., The Actin Cytoskeleton and Actin-Based Motility. Cold Spring Harb Perspect Biol. (2018)
PubMed: 29295889 DOI: 10.1101/cshperspect.a018267

Alberts B et al, 2002. Molecular Biology of the Cell. 4th edition. The Self-Assembly and Dynamic Structure of Cytoskeletal Filaments. New York: Garland Science.

TheFunsuman. Actin Filament Assembly. YouTube. Accessed November 25, 2016. http://www.youtube.com/watch?v=n-b7Zz-sfBk.