| Human Molecular Genetics | Pages |
Human cochlear expressed sequence tags provide insight into cochlear gene expression and identify candidate genes for deafness
Introduction
Results
Cochlear EST clustering
Known human genes and hearing disorder genes detected among the cochlear ESTs
Mapped cochlear ESTs for positional candidate genes
Discussion
Known genes expressed in cochlea
Mapped cochlear ESTs
Materials And Methods
Acknowledgements
References
Human cochlear expressed sequence tags provide insight into cochlear gene expression and identify candidate genes for deafness
INTRODUCTION
Hearing loss is our most common sensory disorder. One in 1000 children is born deaf, and an equal number lose their hearing by adulthood (1). Additionally, half the population experience significant hearing impairment by age 65 years (1). Approximately 50% of deafness has a genetic etiology with autosomal dominant, autosomal recessive, X-linked or mitochondrial patterns of inheritance. Hundreds of syndromes have been identified in which hearing loss is a component (2); however, the majority of hearing loss is non-syndromic (i.e. associated with no other clinical findings).
Rapid progress is underway in studies of hearing and deafness at the molecular level. To date, >40 chromosomal loci containing genes involved in non-syndromic hearing loss (NSHL) have been identified by linkage analysis. Loci are designated DFNA1-DFNA15 for autosomal dominant forms of NSHL, DFNB1-DFNB20 for autosomal recessive NSHL, and DFN2-DFN8 for the X-linked forms of NSHL (3). The chromosomal locus for each disorder, linked markers and appropriate references can be found on the Hereditary Hearing Loss Home Page (4).
Within the past year, genes responsible for several human hearing disorders have been identified: the human homolog of the Drosophila diaphanous gene (DIAPH) in DFNA1 (5), the gap junction protein connexin 26 (GJB2) in DFNB1 (6,7) and DFNA3 (8), the POU4F3 transcription factor in DFNA15 (9), the putative sulfate transporter PDS in both Pendred syndrome and DFNB4 (10,11), the tectorial membrane protein [alpha]-tectorin (TECTA) in DFNA8/12 (12), the unconventional myosin MYO15 in human DFNB3 and mouse shaker-2 (4,13), a gene (USH2A) with homologies to laminin epidermal growth factor and fibronectin in Usher syndrome type IIa (15), the novel cochlear gene COCH in DFNA9 (16) and a gene with very little homology to any known protein, DFNA5 (17). Each of these genes has been shown to be expressed in the cochlea, demonstrating how knowledge of gene expression in the membranous labyrinth is critical to our further understanding of hearing and deafness.
Despite these recent successes in discovering hearing loss genes, the vast majority of NSHL genes remain to be identified. This is partially due to the fact that many families in which NSHL segregates are small, with an insufficient number of informative recombination events to allow narrowing of the genetic interval to which an NSHL gene maps. Thus, in many cases, several megabases of genomic DNA must be analyzed to identify candidate genes for each of the NSHL loci.
Analysis of expressed sequence tags (ESTs) has proven useful recently in identifying positional candidate genes for human disease. ESTs provide short nucleotide sequences that act as unique identifiers of both novel and known genes, and can be used as probes to clone genes from appropriate cDNA libraries. As of December 1997, 91% of positionally cloned genes mutated in human diseases were represented by exact sequence matches to ESTs in the EST division of GenBank (http://www.ncbi.nlm.nih.gov/Bassett/dbEST/PosiClonNew.html ), indicating that the vast majority of disease genes are already present within the GenBank EST collection. A large-scale effort to map ESTs by use of radiation hybrid panels is being carried out by genome centers around the world. Currently (December 31, 1998), >49 000 human sequence-tagged sites (STSs), many of them derived from ESTs, have been assigned a chromosomal locus (http://www.ncbi.nlm.nih.gov/dbSTS ). Map positions of ESTs from dozens of cDNA libraries are a crucial resource for determining positional candidates for disease genes.
To identify candidate genes for human hearing disorders and to gain a more fundamental understanding of human hearing at the molecular level, we constructed a human cochlear cDNA library (18). The cochlear library is a resource for researchers studying human hearing and deafness, and facilitates identification of genes expressed in the human membranous labyrinth. An aliquot of the unsubtracted cochlear library was contributed to the IMAGE Consortium at Lawrence Livermore National Laboratory for gridding, and then sequencing by the Washington University Genome Sequencing Center. Over 4000 ESTs were created from the cochlear cDNA library and deposited in the GenBank EST database. All of the cochlear clones and the gridded microtiter plates are commercially available.
This report describes our analysis of the human cochlear ESTs. We present a listing of the known human genes represented by ESTs derived from the cochlear library. Mutations in several of these have already been demonstrated as the cause of both syndromic and non-syndromic hearing disorders. We also report the chromosomal map positions of 437 cochlear ESTs. This information identifies positional candidate genes for many hearing disorders mapped by linkage analysis. In addition, a listing of cochlear ESTs that have significant sequence homology to genes of non-human organisms suggests the possibility of new gene family members, or human homologs of animal genes. A complete listing of the data abstracted here as well as any future additions and updates can be found on the Human Cochlear EST Database website (19).
RESULTS
A total of 4304 human cochlear ESTs were generated from the unsubtracted, non-normalized Morton fetal cochlear cDNA library by the IMAGE Consortium and deposited in GenBank. Sequences were generated from 3373 independent clones, with 1207 5[prime] reads and 3097 3[prime] reads. Of the total cochlear ESTs, nucleotide sequences from 110 were either too short or of insufficient sequence complexity (i.e. contained excessive repetitive elements) to yield useful data for this study. Thus, 4194 cochlear ESTs (3263 clones) were of adequate length and complexity for further analysis (Table 1).
Figure 1. Northern blot of panel of human fetal RNAs, probed with cochlear cDNA clone from a unique cluster, demonstrating high expression in cochlea and validating the clustering technique. Ten micrograms of total RNA from each of the tissues listed was loaded in each lane. A longer exposure shows slight expression in testis and kidney. The transcript is ~3.5 kb in size. Each of the 4194 cochlear ESTs was compared by WU-BLAST 2.0 analysis [Washington University BLAST (20,21)] with GenBank release 105.0 to identify ESTs derived from known human genes. The sequence of 1388 cochlear ESTs (33%) match 517 known human genes (Table 1). Of the remaining 2806 ESTs, BLAST analysis shows that 2265 (54% of the total) have significant matches to ESTs from other cDNA libraries. The remaining 541 ESTs (13% of the total) show no significant sequence homology to any nucleotide sequence deposited in GenBank to date, suggesting that they may be unique to the cochlear library, and may represent genes that are expressed exclusively in the human membranous labyrinth. Table 1.
n (%)
Total ESTs generated from 3373 independent cochlear clones
4304
ESTs selected for further study
4194 (97)
Cochlear ESTs matching known human genes
1388 (33)
Cochlear ESTs matching other ESTs in GenBank
2265 (54)
ESTs unique to the cochlea
541 (13)
Cochlear EST clustering
Clustering cochlear clones, by grouping those with overlapping DNA sequence and presuming that the transcripts derive from the same gene, yields information on the abundance of a transcript and the complexity of the library. Of the 3263 independent clones that have had 5[prime], 3[prime] or both ends sequenced, 1137 (35%) are singletons: the sequence does not match the sequence of any other clone in the library. Clones for which both ends were sequenced are considered singletons if neither end matches any other sequence in the library other than its opposite end. The remaining 2126 clones fall into 414 clusters, the majority of which (80%) consist of only two or three clones. Only four clusters consist of 20 or more clones. The large percentage of singletons demonstrates the high complexity of the library, with many low copy number clones present, and suggests that sequencing of additional cochlear ESTs would identify other novel sequences.
Because the cochlear library was not subtracted or normalized in any way, the number of clones derived from an individual gene approximates the expression level of that gene in the membranous labyrinth. The gene most frequently found among the cochlear clones was collagen type I [alpha]2 (COL1A2). Eighty six (2.6%) of the cochlear clones represented COL1A2. The next most frequently expressed genes were COL3A1 (38 clones), translation elongation factor 1[alpha] (30 clones) and osteonectin/SPARC (16 clones).
Table 2.
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Three of these four genes, COL1A2, COL3A1 and SPARC, were identified previously by subtractive hybridization and differential screening to be among the genes most highly expressed in human cochlea (18), confirming that EST sequencing and clustering yield results similar to alternative methods of gene expression analysis. Other genes represented by 10 or more cochlear clones include translationally controlled tumor protein, vimentin, COL1A1, myelin proteolipid protein and osteopontin.
Clustering just the clones that are unique to cochlea, we found that the largest cluster consists of six independent clones, suggesting that this cochlea-specific gene may be relatively highly expressed in human membranous labyrinth. To confirm this, one of the cochlear cDNAs in this cluster was used to probe a northern blot of human tissues (Fig.
Known human genes and hearing disorder genes detected among the cochlear ESTs
The known human genes that are identical to at least one cochlear EST are listed in Table 2, grouped into functional categories. GenBank accession numbers for the cochlear ESTs, the accession numbers of the corresponding known genes and their map locations, if determined, can be found on the Human Cochlear EST Database website (19).
Several of the cochlear ESTs match genes that have been shown previously to be mutated in both syndromic and non-syndromic human hearing disorders. An example of such an EST is that for GJB2 (connexin 26). Mutations in GJB2 were identified recently as the cause of the most common form of autosomal recessive NSHL, DFNB1 (6,7,22-24), and the dominant hearing loss DFNA3 (6,8), although there remains some controversy over the autosomal dominant forms. It has been speculated that GJB2 mutations may account for 20% of all cases of childhood deafness in the populations studied (7,25).
Ten different collagen genes are represented among the cochlear ESTs including COL1A1, COL1A2, COL2A1, COL3A1, COL4A1, COL4A2, COL5A1, COL6A1, COL9A3 and COL11A1. Mutations in four are pathogenic in syndromes in which hearing loss is a component. COL1A1 and COL1A2 mutations are responsible for osteogenesis imperfecta (OI) type 1, a disorder chiefly characterized by multiple bone fractures. About half of OI patients have conductive hearing loss that begins in the second decade (26). COL2A1 (27) and COL11A1 (28) mutations cause Stickler syndrome. The progressive pathobiology of this autosomal dominant disorder includes myopia, retinal detachment, joint and bone involvement and sensorineural hearing loss.
Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder with renal anomalies, hearing loss, pre-auricular pits and branchial clefts. The disease-causing gene is EYA1, the human homolog of the Drosophila eyes absent gene (29). EYA1 must play a critical developmental role in the inner ear and kidney.
The autosomal dominant hearing loss and vestibular defects in DFNA9 are caused by mutations in the novel gene COCH (16). COCH is highly expressed in human cochlea and vestibule, and is likely to be a secreted protein. Mutations in COCH result in acidophilic deposits in cochlear and vestibular labyrinths.
Mapped cochlear ESTs for positional candidate genes
Of the 40 non-syndromic hearing disorders that have been mapped by linkage analysis, the responsible gene has been identified in only 10 (4). The remaining disorders have been localized to various genetic intervals, but the gene causing hearing loss remains to be identified. Factors hindering efforts to identify these genes are large chromosomal regions and a lack of candidate genes. Because many of the hearing loss loci were mapped in small kindreds with few informative recombination events to narrow the genetic interval of the disease locus, hearing loss loci are assigned frequently to intervals spanning several centiMorgans, which may encompass hundreds of genes. Indeed, DFNB15 maps to two chromosomal loci, 3q and 19p, with equal LOD scores (30).
To identify candidate genes for hearing loss loci, each of the cochlear ESTs that did not match a known human gene was BLASTed against the database of sequence tagged sites (dbSTS). Genome centers including the Whitehead Institute Center for Genome Research (http://www.genome.wi.mit.edu/ ), the Sanger Center (http://www.sanger.ac.uk/ ) and the Stanford Human Genome Center (http://www-shgc.stanford.edu/ ) are using radiation hybrid mapping to develop STSs from ESTs and place them on genetic framework maps. When a cochlear EST sequence significantly matched an STS sequence, the cochlear transcript was considered mapped. A total of 872 cochlear ESTs match STSs in dbSTS. These represent 437 independent chromosomal loci. A list of the cochlear EST map positions is provided in Table 2 and more detailed information regarding the map positions is given on the website (19). The cochlear ESTs map to every chromosome except Y, and are fairly evenly distributed throughout the genome. Thirty five of the cochlear ESTs whose sequence matches no other nucleotide sequences in GenBank were made into STSs and mapped by the Whitehead Institute Center for Genome Research using the GeneBridge 4 radiation hybrid panel. These ESTs are underlined in Table 3.
Among cochlear ESTs that match STSs, 57 map to the intervals of 18 NSHL loci and four Usher syndrome subtypes (Table 3), providing immediate positional candidates for these disorders. These 22 disorders are DFNA2, -4, -7, -10, -13 and -18, DFNB5, -6, -7, -8, -12, -13, -15, -16, -17 and -19, DFN2 and -6, and USH1D, -1E, -1F and -3.
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Table 3.
Cochlear ESTs with homology to non-human genes
Two human homologs of genes from other species were shown recently to cause human hearing loss. Mutations in the human homolog of the Drosophila diaphanous gene are etiologic in DFNA1 (5), and mutations in human TECTA, previously identified in the mouse, result in DFNA8/DFNA12 (12). Seventy four of the cochlear ESTs have the highest sequence homology to 41 non-human genes (Table 4). These clones may identify novel human homologs of animal genes. The ESTs match genes previously identified in mouse, rat, cow, guinea pig, pig, dog, rabbit and yeast, with sequence identity ranging from 78 to 98%. Among these ESTs are transcription factors, signal transduction proteins, trafficking proteins and extracellular matrix-type proteins.
Table 4.
| Cochlear EST | Gene namea | GenBank | Species | % Identityb |
| accession no. | accession no. | |||
| N63142 | [beta]-1,4-galactosyltransferase | D37790 | mouse | 85 |
| H89125 | E25 (integral membrane protein) | L38971 | mouse | 86 |
| H88505 | fat facets homolog | U67874 | mouse | 81 |
| H88006 | FT1 (fused toes) | Z67963 | mouse | 89 |
| N66426 | helix-loop-helix transcription factor | M97636 | mouse | 95 |
| H89345 | interleukin 10 | M84340 | mouse | 90 |
| N67138 | mrg1 | Y15163 | mouse | 98 |
| H88648 | PG-M core protein | D45889 | mouse | 78 |
| N67393 | quaking type 1 | U44940 | mouse | 96 |
| N66759 | ras-related YPT1 | Y00094 | mouse | 96 |
| N71911 | SCID complementing gene 2 | D78188 | mouse | 94 |
| N66904 | serum inducible kinase | M96163 | mouse | 87 |
| N22583 | spindlin | U48972 | mouse | 92 |
| N22165 | Sycp3 gene | Y08486 | mouse | 86 |
| N66880 | tetracycline transporter-like protein | D88315 | mouse | 96 |
| N67149 | transcription factor PEBP2a1 | D14636 | mouse | 92 |
| N22163 | ubiquitin-conjugating enzyme M3 | X92665 | mouse | 84 |
| N71196 | X16 (DNA-binding protein) | X53824 | mouse | 89 |
| H88563 | 14-3-3 protein [gamma] subtype | S55305 | rat | 89 |
| H88637 | acidic calponin | U06755 | rat | 78 |
| N66965 | clathrin heavy chain | J03583 | rat | 93 |
| N64047 | collagen type XII [alpha]1 | U57362 | rat | 91 |
| H88970 | DNA-binding protein URE-B1 | U08214 | rat | 90 |
| H88289 | dynein light intermediate chain LIC2 | U15138 | rat | 87 |
| N69774 | glycoprotein 65 | X99338 | rat | 86 |
| N66389 | guanine expression factor 2 (GEF2) | AB003515 | rat | 85 |
| H88361 | phospholipase C-[beta]1b | L14323 | rat | 89 |
| N75864 | Rap1B | U07795 | rat | 95 |
| H89079 | SCIP (transcriptional repressor) | M72711 | rat | 88 |
| N21993 | transcription factor Maf1 | U56241 | rat | 90 |
| N22596 | zinc finger protein | L03386 | rat | 97 |
| H88072 | [gamma] COP | X70019 | cow | 85 |
| N63362 | guanine nucleotide exchange protein ARF-GEP | AF023451 | cow | 97 |
| N64163 | NADH ubiquinone oxoreductase complex B15 | X64898 | cow | 82 |
| H89271 | unr (upstream of N-ras) | X71978 | guinea pig | 88 |
| N75887 | zinc finger protein | L26335 | guinea pig | 92 |
| H89106 | non-histone protein HMG1 | M21683 | pig | 90 |
| H88060 | succinyl-CoA synthetase [alpha] subunit | AF008589 | pig | 81 |
| N63219 | non-erythroid [beta]-spectrin | L02897 | dog | 95 |
| N66989 | mannosyl-oligosaccharide [alpha]1,2 mannosidase | U04301 | rabbit | 85 |
| N22012 | MALR | X15241 | yeast | 98 |
Several genes could prove particularly interesting in terms of human hearing and hearing disorders. For example, EST N64047 may represent a novel collagen because it is highly similar to rat collagen type 12 [alpha]1. At least 10 collagens are expressed in the human membranous labyrinth, and mutations in several contribute to hearing loss as described above. EST H89079 has highest homology to the rat transcription factor SCIP. SCIP is a POU domain protein expressed during Schwann cell differentiation (31). Two POU domain genes have been shown to be involved in human hearing loss: POU3F4 in X-linked mixed deafness (32) and POU4F3 in DFNA15 (9). In addition, homozygous deletion of Pou4f3 (Brn3c) also causes hearing loss and vestibular defects in mice (33).
DISCUSSION
This study describes a reverse molecular genetic approach to identify genes involved in human cochlear anatomy and physiology. Investigation of the mammalian cochlea at the molecular level will be crucial to an understanding of the auditory system. Sequencing a large number of human cochlear cDNAs to create ESTs has identified known and novel genes that are expressed in this complex and delicate organ. Positional candidate genes for several non-syndromic hearing disorders have been identified.
Known genes expressed in cochlea
Thousands of genes are expected to be expressed in an organ as intricate as the human cochlea. Partial sequencing of >3300 cochlear-derived clones revealed >1500 gene clusters and 500 known genes. Not surprisingly, many of the genes are housekeeping genes encoding proteins that are part of the metabolism or structure of every living cell. Also among the cochlear ESTs are genes that are probably contaminants from tissue collection. For example, the serum/blood cell proteins such as hemoglobins and complement factors are more likely to originate from contaminating blood than from tissue of the membranous labyrinth. Likewise, not every gene that is actually expressed in the cochlea will be among the cochlear ESTs; only one histone gene was found and only a subset of the ribosomal proteins, reflecting the incomplete sequencing and the developmental timing of transcripts. Undoubtedly, generating additional cochlear ESTs would create an increasingly more accurate picture of gene expression in this organ.
Among the known genes represented by cochlear ESTs are several that are the cause of human hearing loss: GJB2, COL1A1, COL1A2, COL2A1, COL11A1, EYA1 and COCH. There are several other hearing loss genes that have been shown independently to be expressed in cochlea but are not in the cochlear EST collection. For instance, we have shown that DIAPH, POU4F3, MYO15 and USH2A, genes mutated in DFNA1, DFNA15, DFNB3 and Usher syndrome type 2A, respectively (5,9,13,15), are all expressed in the membranous labyrinth by RT-PCR of human cochlear mRNA. This may reflect the low level expression of these genes in the cochlea. Coupled with the gene clustering data, this argues strongly that continued creation of cochlear ESTs would be useful in identifying novel hearing loss genes.
Mapped cochlear ESTs
Fifty seven of the cochlear ESTs fall within the genetic interval of 17 different non-syndromic hearing disorders and four Usher syndrome subtypes (Table 4). Because STSs and ESTs are mapped in radiation hybrid panels relative to framework markers, locus assignment is generally within an interval of several centiMorgans. When a cochlear EST is denoted as a positional candidate for a hearing loss gene because it maps to a given interval, it is done so with this caveat of the localization. However, when faced with an interval for a hearing disorder spanning hundreds or thousands of kilobases, potentially containing hundreds of genes, an obvious first choice for careful consideration are genes and ESTs expressed in the cochlea. Indeed, our laboratory has shown recently that radiation hybrid mapping of a gene found among the cochlear ESTs, COCH, placed it wholly within the interval of the DFNA9 locus (34), and subsequent investigation revealed missense mutations in three DFNA9 kindreds (16). Thus, positional candidate cochlear ESTs are now a proven and successful approach to disease gene identification.
Clearly the majority of mapped cochlear ESTs (Table 4) are not within the genetic interval of a known human hearing disorder. Over 40 deafness loci have been identified to date, and certainly more will be determined as additional families are recruited and linkage mapping techniques are improved. Having cochlear ESTs already mapped to future hearing loss loci will provide a starting point for deafness gene discovery. In addition, there are many mouse mutants that have hearing and vestibular defects (35). Regions of conserved synteny between human and mouse allow cross-referencing between the genomes of these two organisms. Maps of human cochlear ESTs potentially could identify mouse deafness genes, providing invaluable model systems for studying human genetic hearing loss.
MATERIALS AND METHODS
Construction of the human fetal cochlear cDNA library in the UniZap vector (Stratagene) is described by Robertson et al. (18). The directionally cloned library was not subtracted or normalized for this analysis. Mass in vivo excision of the library was performed according to the manufacturers protocol to remove phage sequences before being donated to the IMAGE Consortium. Gridding of clones and DNA preparation and sequencing for generation of ESTs has been described (36,37).
Northern blots were performed as described (38) using 10 µg of total RNA extracted from each of 11 human fetal tissues.
To obtain the data described here, the nucleotide sequence of each cochlear EST was used to conduct a WU-BLAST 2.0 search (20,21) against release 105.0 of the GenBank primate database. A cochlear EST nucleotide sequence was considered to be a significant match to a gene sequence when P < 1E-35 and percent identity was >80% over the entire length of the EST. P is the smallest sum probability; the lower the P-value is, the more identical are the two sequences being compared. The majority of cochlear EST sequences were >95% identical to the query sequence, disregarding 1 bp frameshifts and ambiguous (N) nucleotides. When a BLAST search revealed a significant match to more than one known gene, only the highest scoring hit was included in the data set.
Cochlear ESTs that did not match a known gene subsequently were BLASTed against the GenBank EST, STS and non-human (i.e. rodent, insect, microbial, etc.) databases. A cochlear EST nucleotide sequence was considered to be a match to an EST, STS or non-human sequence when P < 1E-30, the aligned region was >50 nucleotides and the identity was >85% over the aligned region, or P < 1E-20, the aligned region was >50 nucleotides and the identity was >90% over the aligned region. Any cochlear ESTs that did not match human, non-human or EST sequences other than self in the GenBank databases were considered cochlear specific or unique to cochlea.
The 110 cochlear ESTs that were excluded from analysis in the data set had no significant matches to any of the GenBank databases and self-hit values greater than P = 1E-20. Visual inspection of these ESTs revealed either very short clone inserts (<100 bp of sequence), a large percentage of N nucleotides or a large degree of repetitive elements.
A cochlear EST was considered mapped when the EST matched an STS with P < 1E-30, the aligned region was >50 nucleotides and the identity was >85% over the aligned region, or P < 1E-20, the aligned region was >50 nucleotides and the identity was >90% over the aligned region. In the majority of cases, the nucleotide sequence was a sequence match of 96% identity or better to an STS. Map positions listed for the cochlear ESTs are those for the corresponding STSs that can be found on genetic maps at the Whitehead Institute Center for Genome Research (http://www.genome.wi.mit.edu/ ), the Stanford Human Genome Center (http://www-shgc.stanford.edu/ ) or the NCBI human gene mapping web page (http://www.ncbi.nlm.nih.gov/genemap/ ). The STS corresponding to each cochlear EST can be found in the Human Cochlear EST Database (19). All map distances are reported as centiMorgans (cM) from the telomere of the p arm of each chromosome. When these data were not provided directly for an STS at one of the above web sites, the centiMorgan distance was estimated by the position of the STS relative to flanking framework markers. CentiMorgan assignment of deafness loci was determined in the same manner, using informative markers for each locus provided in the Hereditary Hearing Loss Homepage (4). An explanation of the methodology for radiation hybrid mapping can be found in Cox et al. (39).
ACKNOWLEDGEMENTS
We thank Drs Greg Lennon and LaDeanna Hillier for providing helpful information regarding data derived from gridding and sequencing the cochlear cDNA library. We thank Dr James Battey for helpful discussion. We thank Juan Small for assistance with gene map assignments. This work was supported by NIH grants DC00038 (to A.B.S.) and DC03402 (to C.C.M.).
REFERENCES
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Articles by Skvorak, A. B.
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Articles by Morton, C. C.
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