Identification of a distinct class of cytoskeleton-associated mRNAs using microarray technology
© Brock et al; licensee BioMed Central Ltd. 2003
Received: 23 February 2003
Accepted: 08 July 2003
Published: 08 July 2003
Interactions between mRNA and the cytoskeleton are critical for the localization of a number of transcripts in eukaryotic somatic cells. To characterize additional transcripts that may be subject to this form of regulation, we developed a two-step approach that utilizes biochemical fractionation of cells to isolate transcripts from different subcellular compartments followed by microarray analysis to examine and compare these subpopulations of transcripts in a massively-parallel manner.
Using this approach, mRNA was extracted from the cytoskeleton-rich and the cytosolic fractions of the promyelocytic HL-60 cell line. We identify a subset of 22 transcripts that are significantly enriched in the cytoskeleton-associated population. The majority of these encode structural proteins and/or proteins known to interact with elements of the cytoskeleton. Localization required an intact actin cytoskeleton and was largely conserved upon differentiation of precursor HL-60 cells to a macrophage-like phenotype.
We conclude that the association of transcripts with the actin cytoskeleton in somatic cells may be a critical post-transcriptional regulatory event that controls a larger class of genes than has previously been recognized.
KeywordsmRNA localization gene expression gene profiling actin cytoskeleton post-transcriptional control subcellular localization
Subcellular localization of mRNAs represents a fundamental mechanism for post-transcriptional control of cell and tissue function. Examples include the polarized localization of oocyte mRNAs which is crucial for the establishment axis formation in the embryo [1–3], the targeting of specific mRNAs to the synapses of nerve cells [4, 5], centrosomal segregation of mRNAs in the mollusk embryo which results in asymmetric inheritance  and the localization of β-actin mRNA to sites of active actin polymerization at the leading edge of motile fibroblasts [7, 8]. In each of these cases, mRNA targeting is mediated by the cytoskeleton. For example, growth factor-induced localization of actin mRNA to the leading edge of fibroblasts is a dynamic, regulated process requiring actomyosin interactions and activation of the RhoGTPase pathway, as well as specific signal sequences in the 3' UTR of the message [9–12]. Moreover, disruption of the actin cytoskeleton using pharmacological agents also blocks the association of β-actin mRNA with microfilaments and prevents localization of the transcript to the cell periphery [7, 13]. Mechanical forces exerted on cell surface integrin receptors, which anchor the actin cytoskeleton to the extracellular matrix, also produce changes in the localization of poly(A) mRNA and ribosomal proteins inside the cell . Importantly, the localization of transcripts can serve as a key regulatory step in gene expression as inhibition of mRNA targeting can significantly impact cell function. For example, replacing the 3' UTR of the mRNA for the intermediate filament protein, vimentin, with the β-actin 3'UTR sequence results in mislocalization of vimentin transcript, altered fibroblast morphology, and impaired motility .
To date, only a relatively small number of gene transcripts are known to target to the cytoskeleton and all of these have been found empirically. In situ hybridization technologies and microinjection of fluorescently labeled RNAs have greatly enhanced our ability to observe intracellular RNA localization with high spatial resolution. However, the number of RNA species that may be simultaneously observed using these approaches is usually limited to only one transcript at a time. We hypothesized that association of mRNAs with the cytoskeleton may be a more widespread post-transcriptional regulatory mechanism that extends to a larger subset of transcripts than is currently recognized. To explore this possibility, we used gene microarray technology to identify and analyze large populations of cytosolic and cytoskeleton-associated mRNAs isolated from HL-60 promyelocytic cells. By combining traditional biochemical subcellular fractionation methods with massively-parallel gene profiling technology, we were able to ask the question: how many different eukaryotic mRNAs interact with the cytoskeletal network and what is their identity?
Cytoskeleton-associated mRNAs identified in HL-60 cells.
CSK-associated transcripts in promyelocytic HL-60
protein 4.1 isoform
thymosin, beta 4
ribosomal protein S13
ribosomal protein S27a
phosphatidylinositol 4-kinase, catalytic, alpha polypeptide
CSK-associated transcripts in macrophage-like HL-60
Protein 4.1 isoform
Mnt (Max-binding protein)
protein kinase, interferon-inducible double stranded RNA dependent
GTP-binding protein ragB
protein tyrosine phosphatase type IVA, member 2
glutathione peroxidase 1
cadherin 11 (OB-cadherin, osteoblast)
phosphoglycerate mutase 1 (brain)
calcium channel, voltage-dependent, alpha 2/delta subunit 2
solute carrier family 21 (organic anion transporter), member 3
rearranged L-myc fusion sequence
ribosomal protein S6
Among the subset of transcripts that were found to be enriched in the cytoskeleton fraction were several mRNA species, such as those encoding β-actin mRNA and ribosomal protein subunits, that have previously been shown to be cytoskeleton-associated in other cell types [13, 16]. In addition, we identified approximately 20 new members of the cytoskeleton-associated transcriptome, the majority of which encode structural proteins known to interact directly with cytoskeleton filaments, such as spectrin and protein 4.1 (Table 1). Spectrin is an integral component of the submembranous cytoskeleton that is required for maintenance of cell shape and mechanical stability of the surface membrane. Interactions between spectrin and actin filaments are stabilized by protein 4.1 and regulated by a variety of accessory proteins . Protein 4.1 also may connect the protein translation apparatus to the cytoskeleton through interactions with a component of the eukaryotic translation initiation factor-3 complex, eIF3-p44 . Interestingly, mRNAs for multiple proteins involved in translation, such as various ribosomal proteins, were enriched in the cytoskeleton fraction (Table I). Other transcripts found to be cytoskeleton-associated in this study encode PI4K which associates with the cytoskeleton backbone of the focal adhesion  as well as thymosin β4, an actin monomer sequestering protein that also contributes to control of cell motility and contractility .
Interactions between mRNA and cytoskeleton filaments are responsible for the spatial distribution and localized function of several transcripts in somatic cells [15, 16, 24]. However, since only a small number of localized mRNAs have previously been uncovered, it is not known to what extent the association of RNAs with the cytoskeleton might be a more general mechanism of gene regulation. Our data suggest that while many mRNAs distribute equally between the cytosolic and cytoskeletal fractions, a specific set of transcripts associates preferentially with actin microfilaments.
Furthermore, this spatial distribution pattern was retained even after the round HL-60 cells were chemically induced to differentiate into macrophages that adhere and spread on the culture substrate, a process that involves extensive alterations in cytoskeletal architecture and genome-wide changes in gene expression. Thus, the cytoskeleton-associated transcripts may encode a core group of proteins whose expression may be regulated at the post-transcriptional level through their association with the components of the actin cytoskeleton network. Consistent with this hypothesis, the majority of cytoskeleton-associated transcripts identified in this study encoded proteins that modulate cytoskeleton structure or adhesion. Spectrin and protein 4.1 form a complex with actin filaments [17, 26] that may be important in signaling in additional to forming a physical link between the cytoskeletal network and the cell membrane . Furthermore, PI4K activity has been shown to associate with the actin cytoskeleton by biochemical detergent extraction  and is thought to specifically localize with α3β1 integrin . PI4K catalyzes the production of phosphatidylinositol-4-phosphate, an intermediate in multiple phosphatidylinositol signaling pathways which itself can interact with actin binding proteins to regulate microfilament polymerization . Our work now suggests that the mRNAs of these proteins are all positioned in close association with the actin cytoskeleton to permit efficient localization of their protein products.
Given the limited sensitivity of DNA arrays, it is possible that the cytoskeleton may play a role in the localization and regulation of additional cellular transcripts that could not be detected with the approach described here. Abundant mRNA species may target only a miniscule fraction of mRNA molecules to the cytoskeleton; this may be the functionally important fraction but its relevance would not be revealed using this method. On the other hand, mRNAs of lowly expressed genes may be entirely associated with the cytoskeleton but may fall below the limits of microarray detection. For the majority of gene transcripts, the relationship between mRNA localization and translational activation remains unclear. It is therefore possible that although only a small fraction of a particular transcript associates with the cytoskeleton, these localized molecules might actually represent the actively translated subpopulation.
This naturally raises the question of whether the cytoskeleton-associated transcripts are differentially expressed in promyelocyte and macrophage cells. Tamayo et al. have previously monitored gene expression at various time points following phorbol ester-induced differentiation in the same HL-60 cell system . Thirteen of the 22 transcripts we identified as cytoskeleton-associated were also assayed in that study by Tamayo, et al . Only two of these transcripts-alpha spectrin and pim-1 were found to vary significantly, in that the expression of both genes was undetectable in the promyelocytic cell type and increased dramatically upon differentiation to the macrophage cell type. Future work in this area might address the potential relationship between cytoskeleton-localization and expression of these transcripts.
As a mechanosensitive scaffold that controls a large set of regulatory proteins, the actin cytoskeleton is critically poised to modulate a variety of cellular processes, including protein synthesis, cell survival, migration and proliferation [14, 31, 32]. One function of the cytoskeleton in gene regulation appears to be the spatial organization of transcripts and possibly their translation within the intracellular environment. Our work demonstrates that a subset of gene transcripts interacts with the actin cytoskeleton and that this subpopulation includes a number of structural and cytoskeleton-modulating proteins as well as molecules involved in protein translation. This finding is consistent with the hypothesis that cellular evolution resulted from self-assembly of molecular scaffolds, like the actin cytoskeleton, that provide simultaneous structural and biochemical functions, including orienting mRNA transcripts and facilitating their translation into proteins that self-assemble into the very scaffolds to which they associate .
In summary, this work extends our view of post-transcriptional control of gene expression by revealing that multiple transcripts involved in cellular regulation associate with the actin cytoskeleton. The subcellular localization of the majority of these transcripts had not been previously investigated. It appears that information about the spatial context of an mRNA species, in addition to knowledge of its temporal expression pattern, may be necessary for a more complete view of gene regulation. Thus, a combination of other biochemical fractionation techniques (e.g., isolation of microtubule or intermediate filament cytoskeleton compartments, nuclear matrix, etc.) with massively parallel gene profiling technology may provide additional insights into cellular regulation.
In this work, we set out to explore the extent to which somatic cell transcripts associate with the cytoskeleton and to identify the specific transcripts that might be regulated through cytoskeleton localization. A set of 22 transcripts, encoding structural proteins, cytoskeletal proteins and components of the translation machinery, was shown to be highly enriched in the cytoskeleton-associated population of HL-60 cells. Intact actin microfilaments were required for the localization and/or anchoring of these transcripts. In addition, this study emphasizes the value of using subcellular fractionation to expand the range of genome-wide technologies by providing information about the spatial distribution of a transcript, in addition to its expression level.
Cell culture conditions
Suspended HL-60 promyelocytic leukemia cells were cultured in IMDM (Clonetics) supplemented with 10% fetal bovine serum (Hyclone). Cells were seeded in tissue culture flasks at a density of 3 × 105 cells/ml and expanded when the culture reached 3 × 106 cells/ml. To induce macrophage differentiation, 10 nM phorbol ester (TPA) was added to growth cultures at a cell density of 1.5 × 106 cells/ml, 40 hrs prior to harvest. To depolymerize actin microfilaments, cells were treated with 0.1 μg/ml latrunculin B (Cytoskeleton, Inc.) 30 min prior to harvest.
Cell harvest and serial extraction
Subcellular fractionation of RNA into cytoskeleton-associated and cytosolic fractions was performed as previously described [15, 34]. In brief, HL-60 cells were harvested by centrifugation and resuspension in buffer A (10 mM Tris pH 7.6, 0.25 M sucrose, 25 mM KCl, 5 mM MgCl2) with 0.1% Igepal nonionic detergent (Sigma). The minimal concentration of nonionic detergent required to release cytosolic components without disrupting nuclei was determined by measuring lactate dehydrogenase activity as a marker for release of cytosol. The detergent concentration that released <90% of the lactate dehydrogenase activity in the cytosolic fraction was chosen for all subsequent studies. TPA-treated cells become adherent and were harvested at 40 hr by scraping in buffer A, pelleting the cells, and resuspending in buffer A plus 0.1% Igepal. After incubating for 10 min on ice, the samples were pelleted by centrifugation (1000 g) and the supernatant containing "cytosolic" components was collected. The pellet was resuspended in high salt buffer B (10 mM Tris pH 7.6, 0.25 M sucrose, 200 mM KCl, 5 mM MgCl2, 0.5 mM CaCl2) and incubated 10 min on ice to disrupt the cytoskeleton and release associated components. Nuclei and internal membranes were removed by centrifugation (1500 g) and the supernatant containing "cytoskeleton-associated" components was collected. RNA was isolated from the cytosolic and cytoskeleton-associated fractions using RNeasy miniprep column and reagents (Qiagen). As an internal control for the RNA isolation procedure, an exogenous RNA that was generated by in vitro transcription from a pBluScriptII plasmid was added to the fractions prior to RNA isolation. RT-PCR analysis confirmed that the exogenous pBluII RNA was equally distributed between the cytosolic and cytoskeleton-associated fractions.
Microarray hybridization and analysis
Small samples (2 μg) from each RNA fraction were reverse transcribed and radiolabeled (2 μg oligo dT, 1x First Strand buffer, 5 mM DTT, 75 U SuperscriptII [Life Technologies], 20 mM dNTP mix containing dATP, dGTP, dTTP and 100 mCi 33P-dCTP (ICN Radiochemicals). Probes were purified by passage through a Bio-Spin6 chromatography column (Bio-Rad). A Research Genetics gene filter (GF201) was prehybridized in MicroHyb solution (Research Genetics) containing 5 μg Cot-1 DNA (Life Technologies) and 5 μg poly dA at 42°C for at least 2.5 hr. The probe was denatured by heating to 95°C for 3 min before adding to the prehybridization solution. Hybridization was carried out overnight at 42°C in a hybridization roller oven. Membranes were washed twice in 2x SSC, 1% SDS at 50°C for 20 min and once in 0.5x SSC, 1% SDS at 55°C for 15 min. After washing, the filter was placed on moist filter paper, sealed in plastic wrap and exposed to a phosphor imaging screen for 1–2 days. Images were acquired using the GeneStorm phosphor imaging system (Molecular Dynamics). Filters were stripped by placing in boiling 0.5% SDS with shaking for 1 hr. Each sample probe was sequentially hybridized to the same human gene filter to control for variation between filters. The Pathways 4.0 (Research Genetics) software package was used for normalization and initial comparisons. Additional analysis was performed using Matlab 5.3 (Mathworks) and Clustan 4 (Clustan Graphics). Comparison of multiple scans of the same sample revealed that low intensity spots (intensity < 1) were variable due to background noise; these were not included in subsequent analysis.
HL-60 cells were harvested and serial extractions were performed as described above. Equal volumes of each sample (cytosolic and cytoskeleton-associated components) were subjected to SDS-PAGE, transferred to a nitrocellulose membrane (Bio-Rad) and immunoblotted with primary antibody to β-actin and detected using horseradish peroxidase-conjugated secondary antibody (Vector Laboratories) and SuperSignal West Dura (Pierce) as a chemiluminescent substrate.
Semi-quantitative reverse transcription (RT)-PCR was used to confirm the relative abundance of specific mRNA species in the cytosolic and cytoskeleton-associated populations. In addition, the abundance of histone 33, a transcript that distributed equally between the cytosolic and cytoskeleton fractions in microarray analysis, was confirmed. cDNA was synthesized from each sample by incubating 1 ug RNA sample with 0.5 mM each dNTP, 0.25 μg/ml random hexamer (Boehringer Mannheim), 10 U RNase inhibitor, and 10 U OmniScript reverse transcriptase in OmniScript RT Buffer (Qiagen). Two microliters of serially diluted template cDNA (1:3, 1:9, 1:27, 1:81, 1:243, 1:729 in ddH2O) was used for each PCR reaction in a total volume of 24 μl containing 10 pmol of each primer, 0.2 mM each dNTP and 2.5 U Taq DNA polymerase in Qiagen PCR buffer. PCR cycling conditions were 4 min at 94°C and then 24, 26 or 30 cycles of 45 sec at 94°C, 45 sec at 55–63°C and 1 min at 72°C. PCR products were separated by agarose gel electrophoresis, stained with ethidium bromide and visualized in a FluorImager (Molecular Dynamics, Sunnydale, CA). To determine conditions of log-linear amplification (with slope = 1), the PCR products from each dilution of cDNA template were quantified using NIH Image software.
This work was supported by grants from the NIH (CA55833) and NASA (NAG 2–1501).
- Ding D, Parkhurst SM, Halsell SR, Lipshitz HD: Dynamics Hsp83 RNA localization during Drosophila oogenesis and embryogenesis. Mol Cell Biol. 1993, 13: 3773-3781.PubMed CentralView ArticlePubMedGoogle Scholar
- Kloc M, Etkin LD: Delocalization of Vg1 from the vegetal cortex in Xenopus oocytes after destruction of Xlsirt RNA. Science. 1994, 265: 1101-1103.View ArticlePubMedGoogle Scholar
- King ML, Zhou Y, Bubunenko M: Polarizing genetic information in the egg: RNA localization in the frog oocyte. Bioessays. 1999, 21: 546-557. 10.1002/(SICI)1521-1878(199907)21:7<546::AID-BIES3>3.0.CO;2-Z.View ArticlePubMedGoogle Scholar
- Mayford M, Bach ME, Huang YY, Wang L, Hawkins RD, Kandel ER: Control of memory formation through regulated expression of a CaMKII transgene. Science. 1996, 274: 1678-1683. 10.1126/science.274.5293.1678.View ArticlePubMedGoogle Scholar
- Steward O, Worley PF: A cellular mechanism for targeting newly synthesized mRNAs to synaptic sites on dendrites. Proc Natl Acad Sci USA. 2001, 98: 7062-7068. 10.1073/pnas.131146398.PubMed CentralView ArticlePubMedGoogle Scholar
- Lambert JD, Nagy LM: Assymetric inheritance of centrosomally localized mRNAs during embryonic cleavages. Nature. 2002, 420: 682-686. 10.1038/nature01241.View ArticlePubMedGoogle Scholar
- Kislauskis EH, Li Z, Singer RH, Taneja KL: Isoform-specific 3'-untranslated sequences sort alpha-cardiac and beta-cytoplasmic actin messenger RNAs to different cytoplasmic compartments. J Cell Biol. 1993, 123: 165-172.View ArticlePubMedGoogle Scholar
- Shestakova EA, Singer RH, Condeelis J: The physiological significance of beta-actin mRNA localization in determining cell polarity and directional motility. Proc Natl Acad Sci USA. 2001, 98: 7045-7050. 10.1073/pnas.121146098.PubMed CentralView ArticlePubMedGoogle Scholar
- Hill MA, Schedlich L, Gunning P: Serum-induced signal transduction determines the peripheral location of β-actin mRNA within the cell. J Cell Biol. 1994, 126: 1221-1230.View ArticlePubMedGoogle Scholar
- Latham VM, Yu EH, Tullio AN, Adelstein RS, Singer RH: A Rho-dependent signaling pathway operating through myosin localizes beta-actin mRNA in fibroblasts. Curr Biol. 2001, 11: 1010-1016. 10.1016/S0960-9822(01)00291-3.View ArticlePubMedGoogle Scholar
- Taneja KL, Lifshitz L, Fay FS, Singer RH: Poly(A) RNA codistribution with microfilaments: evaluation by in situ hybridization and quantitative digital imaging microscopy. J Cell Biol. 1992, 119: 1245-1260.View ArticlePubMedGoogle Scholar
- Kislauskis E, Zhu X, Singer RH: Sequences responsible for intracellular localization of beta-actin messenger RNA also affect cell phenotype. J Cell. 1994, 127: 441-451.View ArticleGoogle Scholar
- Sundell CL, Singer RH: Requirement of microfilaments in sorting of actin messenger RNA. Scienc. 1991, 253: 1275-1277.View ArticleGoogle Scholar
- Chicurel ME, Singer RH, Meyer CJ, Ingber DE: Integrin binding and mechanical tension induce movement of mRNA and ribosomes to focal adhesions. Nature. 1998, 392: 730-733. 10.1038/33719.View ArticlePubMedGoogle Scholar
- Morris EJ, Evason K, Wiand C, L'Ecuyer TJ, Fulton AB: Misdirected vimentin messenger RNA alters cell morphology and motility. J Cell Sci. 2000, 113: 2433-2443.PubMedGoogle Scholar
- Hesketh JE: Sorting of messenger RNAs in the cytoplasm: mRNA localization and the cytoskeleton. Exp Cell Res. 1996, 225: 219-236. 10.1006/excr.1996.0172.View ArticlePubMedGoogle Scholar
- Gimm JA, An X, Nunomura W, Mohandas N: Functional characterization of spectrin-actin-binding domains in 4.1 family of proteins. Biochemistry. 2002, 41: 7275-7282. 10.1021/bi0256330.View ArticlePubMedGoogle Scholar
- Hou CL, Tang C, Roffler SR, Tang TK: Protein 4.1R binding to eIF3-p44 suggests an interaction between the cytoskeletal network and the translation apparatus. Blood. 2000, 96: 747-753.PubMedGoogle Scholar
- McNamee HP, Liley HG, Ingber DE: Integrin-dependent control of inositol lipid synthesis in vascular endothelial cells and smooth muscle cells. Exp Cell Res. 1996, 224: 116-122. 10.1006/excr.1996.0118.View ArticlePubMedGoogle Scholar
- Roy P, Rajfur Z, Jones D, Marriott G, Loew L, Jacobson K: Local photorelease of caged thymosin beta4 in locomoting keratocytes causes cell turning. J Cell Biol. 2001, 153: 1035-1048. 10.1083/jcb.153.5.1035.PubMed CentralView ArticlePubMedGoogle Scholar
- Collins SJ: The HL-60 promyelocytic leukemia cell line: proliferation, differentiation, and cellular oncogene expression. Blood. 1987, 70: 1233-1244.PubMedGoogle Scholar
- Tamayo P, Slonim D, Mesirov J, Zhu Q, Kitareewan S, Dmitrovsky E, Lander ES, Golub TR: Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc Natl Acad Sci USA. 1999, 96: 2907-2912. 10.1073/pnas.96.6.2907.PubMed CentralView ArticlePubMedGoogle Scholar
- Eisen MB, Spellman PT, Brown PO, Botstein D: Cluster Analysis and Display of Genome-Wide Expression Patterns. Proc Natl Acad Sci USA. 1998, 95: 14863-14868. 10.1073/pnas.95.25.14863.PubMed CentralView ArticlePubMedGoogle Scholar
- Latham VM, Kislauskis EH, Singer RH, Ross AF: mRNA localization is regulated by signal transduction mechanisms. J Cell Biol. 1994, 126: 1211-1219.View ArticlePubMedGoogle Scholar
- Bassell GJ, Powers C, Taneja K, Singer RH: Single mRNAs visualized by ultrastructural in situ hybridization are principally localized at actin filament intersections in fibroblasts. J Cell Biol. 1994, 126: 863-876.View ArticlePubMedGoogle Scholar
- Discher DE, Winardi R, Schischmanoff PO, Parra M, Conboy JG, Mohandas N: Mechanochemistry of protein 4.1's spectrin-actin-binding domain: ternary complex interactions, membrane binding, network integration, structural strengthening. J Cell Biol. 1995, 130: 897-907.View ArticlePubMedGoogle Scholar
- Gascard P, Mohandas N: New insights into functions of erythroid proteins in nonerythroid cells. Curr Opin Hematol. 2000, 7: 123-129. 10.1097/00062752-200003000-00009.View ArticlePubMedGoogle Scholar
- de Graaf P, Klapisz EE, Schultz TKF, Cremers AFM, Verkleij AJ, van Bergen en Hanegouwen PMP: Nuclear localization of phosphatidylinositol 4-kinase β. J Cell Sci. 2002, 115: 1769-1775.PubMedGoogle Scholar
- Yauch RL, Berditchevski F, Harler MB, Reichner J, Hemler ME: Highly stoichiometric, stable, and specific association of integrin α3β1 with CD151 provides a major link to phosphatidylinositol 4-kinase and may regulate cell migration. Mol Biol Cell. 1998, 9: 2751-2765.PubMed CentralView ArticlePubMedGoogle Scholar
- Janmey PA: Phosphoinositides and calcium as regulators of cellular actin assembly and disassembly. Annu Rev Physiol. 1993, 56: 169-191.View ArticleGoogle Scholar
- Chen CS, Mrksich M., Huang S, Whitesides GM, Ingber DE: Geometric control of cell life and death. Science. 1997, 276: 1425-1428. 10.1126/science.276.5317.1425.View ArticlePubMedGoogle Scholar
- Huang S, Chen CS, Ingber DE: Control of cyclin D1, p27Kip1 and cell cycle progession in human capillary endothelial cells by cell shape and cytoskeletal tension. Mol Biol Cell. 1998, 9: 3179-3193.PubMed CentralView ArticlePubMedGoogle Scholar
- Ingber DE: The origin of cellular life. Bioessays. 2000, 22: 1160-1170. 10.1002/1521-1878(200012)22:12<1160::AID-BIES14>3.0.CO;2-5.View ArticlePubMedGoogle Scholar
- Boccaccio GL, Carminatti H, Colman DR: Subcellular fractionation and association with the cytoskeleton of messengers encoding myelin proteins. J Neuroscience Res. 1999, 58: 480-491. 10.1002/(SICI)1097-4547(19991115)58:4<480::AID-JNR2>3.0.CO;2-Z.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.