INTRODUCTION

Hearing loss is the most frequent sensory defect in humans. The prevalence of severe to profound bilateral congenital hearing loss is estimated at 1 in 1000 births (Gorlin et al. 1995). About 50% of congenital deafness is thought to be due to environmental factors, such as acoustic trauma, ototoxicity (e.g., aminoglycoside antibiotics), viral infections (e.g., rubella), or bacterial infections (e.g., bacterial meningitis). The remaining 50% is attributed to genetic causes and is categorized as syndromic or nonsyndromic hearing loss. Approximately 77% of hereditary deafness is estimated to be inherited in an autosomal recessive mode, 22% is autosomal dominant, 1% is X-linked, and less than 1% segregates through the maternal lineage via the mitochondria (Morton 1991). Over 400 syndromes are recognized in which hearing loss is among the clinical findings and over 60 loci have been mapped for nonsyndromic hearing loss (Gorlin et al. 1995; Van Camp and Smith 2001). At least 46 genes known to cause either syndromic or nonsyndromic deafness have been identified to date (Steel and Kros 2001; Van Camp and Smith 2001).

Traditional methods for identification of genes involved in disease, such as genetic linkage analysis, have a less than optimal use in gene discovery efforts for hearing disorders, mainly because of the complex genetic nature of deafness. Although more than 60 disease loci for nonsyndromic deafness are known, the number of disease loci is expected to be considerably larger due to the unparalleled degree of genetic heterogeneity that characterizes hereditary deafness (Van Camp et al. 1997). A complementary method to genetic linkage analysis for gene identification is one that utilizes tissue-specific cDNA libraries (Hedrick et al. 1984; Jones and Reed 1989; Gurish et al. 1992). To this end, we constructed a human fetal cochlear cDNA library and have generated over 8494 ESTs in two sequencing projects from the cochlear cDNA clones (Robertson et al. 1994; Skvorak et al. 1999). Several auditory genes, namely ATQ1, COCH, and OTOR, of which the latter two are novel cochlear genes, have been identified using our human fetal cochlear cDNA library (Robertson et al. 1997, 2000; Skvorak et al. 1997). COCH was further shown to be responsible for a sensorineural deafness and vestibular disorder, DFNA9 (Robertson et al. 1998).

This article describes the production and analysis of the second set of 4190 cochlear EST sequences and compares these results with that of the first set of 4304 cochlear ESTs.

METHODS

Generation of EST sequences from the human fetal cochlear cDNA library

A human fetal (16–22 weeks developmental age) cochlear cDNA library was constructed by Robertson et al. (1994) in accordance with guidelines established by the Human Research Committee at the Brigham and Women's Hospital. Briefly, cDNAs were reverse transcribed from oligo(dT)-primed poly(A)+ RNAs and were directionally cloned into the Uni-ZAP XR vector (Stratagene, La Jolla, CA). The first set of 4304 ESTs were analyzed previously (Skvorak et al. 1999) and have GenBank accession numbers starting with either of the letters H or N. For generation of the second set of 4190 ESTs, a second aliquot of the human fetal cochlear cDNA library was subjected to mass in vivo excision according to the manufacturer's protocol to remove phage sequences. Gridding of the clones was performed at Lawrence Livermore National Laboratory. Sequencing of the 5′ ends of the inserts using a T7 primer (5′ TAATACGACTCACTATAGGG 3′) and generation of the ESTs, as described previously (Skvorak et al. 1999), was performed at the NIH Intramural Sequencing Center. GenBank accession numbers for the second cochlear ESTs start with the letters AW.

EST nucleotide sequence analysis

To obtain the data described here, the nucleotide sequence of each cochlear EST was used to conduct sequence similarity (BLAST) searches against various databases (Altschul et al. 1997). EST sequences were compared with the nucleotide sequences in GenBank primate database (release 117) and with sequences in the EST, STS, and nonhuman mammalian databases (release 116) to determine if the ESTs shared nucleotide similarity with known sequences, as previously described (Skvorak et al. 1999). Briefly, a cochlear EST sequence was considered to be a significant match to a nucleotide sequence when E < 1E - 30, the aligned region was >50 nucleotides, and the nucleotide identify was >85% over the aligned region, or E < 1E - 20, the aligned region was >50 nucleotides, and the nucleotide identity was >90% over the aligned region. The E value is the Expect value; it describes the number of hits one can expect by chance alone when searching a database of a particular size (Altschul et al. 1997). The majority of cochlear EST sequences that identified human genes were >95% identical to the nucleotide sequence. If a BLAST search revealed a significant match to more than one hit, only the highest scoring hit was included in the data set. Any cochlear EST sequences that did not have sequence similarity to any known human or nonhuman genes or EST sequences from other cDNA libraries were considered cochlear-specific, with the caveat that this categorization is dependent on the diversity and completeness of transcripts deposited in the public databases at the time of analysis.

Comparison of ESTs from both sequencing projects

Redundancy among cochlear ESTs from the two sequencing projects was determined by comparing the nucleotide sequence of each new cochlear EST with the nucleotide sequence of the cochlear ESTs from project 1 and identifying those ESTs with nucleotide sequence similarity, as determined by the same criteria as above for BLAST analysis. Of note, ESTs from the second sequencing project were generated from the 5′ ends of the cDNA clones, in contrast to the first sequencing effort, in which one-third were generated from the 5′ ends of the cDNA inserts and two-thirds from the 3′ ends.

Assignment of ESTs to chromosomal map positions

A cochlear EST was considered mapped when it had nucleotide sequence similarity to an STS according to the criteria described above (E values, identity) and the STS had a chromosomal assignment. In the majority of cases, the EST sequence matched the STS sequence with <95% identity. To determine the chromosomal assignment, marker interval, and genetic interval for a particular STS, the following websites were used: Whitehead Institute for Biomedical Research/MIT Center for Genome Research (http://www-genome.wi.mit.edu/ ), the Stanford Human Genome Center (http://www-shgc.stanford.edu/ ), NCBI's Query STS Sequence Database (http://www2.ncbi.nlm.nih.gov/dbST/dbsts_query.html ), and NCBI's UniGene database (http://www.ncbi.nlm.nih.gov/UniGene/Hs.Home.html ). Some genetic intervals may be unknown if fine mapping information was unavailable for a particular genetic marker. Marker intervals for deafness loci were obtained from the Hereditary Hearing Loss home page (Van Camp and Smith 2001) and their genetic intervals were determined by searching the STS database at the Whitehead Institute/MIT's website as listed above.

RESULTS

Production of a second set of human cochlear EST sequences

As a result of the second round of sequencing of clones from the Morton human fetal cochlear cDNA library (see Methods), an additional 4190 human cochlear ESTs were deposited in GenBank. Only 186 (4.5%) of these cochlear EST sequences were found not to be useful for further analysis, either because of insufficient sequence length (i.e., less than 100 bases, n = 21), repetitive sequence content (i.e., Alu or L1 elements, n = 97), or homology to yeast genes (>95% similarly over entire EST sequence, n = 68) (Table 1). Of note, the 68 cochlear ESTs with >95% similarity to yeast genes have been deleted from GenBank. In sum, 186 ESTs were omitted from the present analysis; 4004 (95.5%) new cochlear ESTs were included in this analysis and represent the denominator for the statistical analyses.

Table 1 Summary of cochlear ESTs from projects 1 and 2

Identification of known genes in the cochlear library

Of the 4004 new cochlear ESTs, 2050 (51%) were assigned to 959 known human genes (Table 2). 365 (38%) of these genes, represented by 1279 (32%) of the new cochlear ESTs, had been identified among the ESTs from project 1 and thus represent genes identified by both sequencing efforts (Fig. 1). Examples of genes found in both analyses are collagen type I alpha 2 (COL1A2,) collagen type III alpha 1 (COL3A1), elongation factor 1 alpha (EEF1A1), and SPARC (Table 3). These four genes were also some of the most frequently detected genes among the ESTs, reflecting their abundant expression in the human fetal cochlear library (Table 3). Genes detected less frequently and found in common among the two analyses included the following genes found once among ESTs from both projects: calpactin 1 light chain, ribosomal protein L31, and dynein light chain 1. Of the 959 known human genes identified in the second project, 594 (62%) genes, represented by 771 (19%) ESTs, were identified specifically among the new cochlear ESTs and were not found among the previously analyzed cochlear ESTs (Fig. 1). 476 of these newly detected genes were found only once and 118 were found more than once; the most abundant newly detected genes were initiation factor 4B (n = 10), ribosomal protein S24 (n = 6), MHC protein homologous to chicken B complex protein (n = 6), and cyclin I (n = 5). A complete list of the known human genes found among the new cochlear ESTs can be accessed via our website (http://hearing.bwh.harvard.edu ).

Table 2 Categorization of cochlear ESTs
Table 3 Twenty most abundant genes found in the human fetal cochlear cDNA library
Figure 1
figure 1

Distribution of 1449 human genes identified among 8494 cochlear ESTs. Of the 1449 human genes identified by cochlear ESTs, 490 of these genes were identified during project 1, 594 were identified during project 2, and 365 of the genes were identified by both projects.

Among the 1954 cochlear ESTs not representing a known human gene, 28 ESTs had homology to 22 nonhuman mammalian genes, with nucleotide sequence identity ranging from 83% to 96% (Table 4). Among these ESTs are genes encoding membrane proteins, extracellular matrix proteins, and trafficking proteins. These cochlear ESTs had homology to genes in species such as cow, mouse, and rat and may represent the human homologs. None of these 22 nonhuman mammalian genes were identified during project 1, although 41 nonhuman mammalian genes were identified in that effort (20 for which the human homolog has since been identified).

Table 4 Human cochlear ESTs with homology to nonhuman genes

BLAST analysis of cochlear ESTs against the EST database

1926 (48%) of the project 2 cochlear ESTs did not have significant sequence similarity to any known gene (Table 5). Of these, 1568 ESTs represent 1262 clusters or genes that have sequence similarity to ESTs from other tissue-derived libraries. The remaining 358 ESTs, which are categorized into 333 clusters, did not match any other ESTs in GenBank and may be unique to the cochlear library, suggesting they may represent genes specifically or preferentially expressed in the cochlea. Of the 333 cochlear-specific clusters, 327 are new and 6 had already been identified by project 1. Combining results from projects 1 (updated) and 2, a total of 4055 cochlear ESTs, representing 2966 clusters, do not have nucleotide sequence similarity to any known gene in GenBank. Of these, 778 ESTs are unique ESTs in GenBank, are grouped by nucleotide sequence similarity into 700 clusters, and may be considered cochlear-specific (Table 5).

Table 5 Categorization of cochlear ESTs that have sequence similarity to no known human or nonhuman genes

Chromosomal map position of cochlear ESTs for positional candidate deafness genes

Nucleotide sequence similarity (BLAST) analysis was performed against the STS database to determine the chromosomal map positions of the 1926 project 2 cochlear ESTs that were not assigned as either a human or a nonhuman gene; 404 cochlear ESTs were found to have significant sequence similarity to an STS marker. Of the 404 cochlear ESTs assigned to an STS marker, 12 were cochlear-specific. For those STS markers for which information was available (see Methods), the chromosome and genetic interval were then determined. The chromosomal assignment was found for 373 ESTs (7 cochlear-specific) and represented 318 loci (3 loci for cochlear-specific ESTs) (see http://hearing.bwh.harvard.edu for a complete listing). The remaining 31 ESTs (5 cochlear-specific) representing 28 loci (3 loci for cochlear-specific ESTs) could not be assigned to a chromosome at this time because they had nucleotide sequence similarity to STS markers that are currently unassigned. Of the 373 ESTs assigned to a chromosome, the genetic interval (in centiMorgans) was known for 231 that represent 194 loci.

Every chromosome, except the Y chromosome, had at least one additional locus assigned as a result of newly assigned cochlear ESTs. Chromosomes 1 (39 ESTs representing 36 loci) and 2 (37 ESTs representing 30 loci) had the most ESTs assigned to them, followed by chromosome 11 (30 ESTs representing 22 loci), chromosome 3 (23 ESTs representing 19 loci), chromosome 10 (23 ESTs representing 12 loci), chromosome 12 (22 ESTs representing 19 loci), and chromosome 5 (22 ESTs representing 17 loci). Each of the remaining chromosomes had less than 20 ESTs assigned. Of the cochlear ESTs assigned to a chromosome, 7 ESTs (representing 3 loci) were cochlear-specific and were assigned to chromosomes 9, 12, and 17. These three loci are identified by the following ESTs: AW023375 (chromosome 9), AW020502 (chromosome 12), and AW020266 (chromosome 17).

New cochlear ESTs map to deafness loci

The map positions of 49 project 2 cochlear ESTs, representing 28 distinct loci, fall within the genetic intervals of 23 syndromic and nonsyndromic deafness loci (Table 6). For example, two new cochlear ESTs, AW022164 and AW022528, map to chromosome 2 within the genetic interval for the nonsyndromic deafness disorder DFNA16 (171.9–182.5 cM). The cochlear EST AW023065 maps to chromosome 9 within the genetic interval of DFNB7 and DFNB11. (Note: AW023065 is assigned to a cluster consisting of 2 overlapping cochlear ESTs. Because the library was not normalized, the cluster size reflects the relative level of expression of a particular gene.) Another EST, AW023248, maps to chromosome 10 within the genetic interval for the syndromic deaf/blind disorder USH1F (60.4–77.2 cM).

Table 6 New cochlear ESTs that map to deafness loci

Identification of genes known to be involved in deafness in the cochlear library

Currently, at least 46 genes have been shown to cause deafness (Steel and Kros 2001; Van Camp and Smith 2001). Table 7 lists the 14 genes detected among the ESTs in the human fetal cochlear library whose mutant alleles are involved in human hearing loss. For example, the following genes and their corresponding disorders are among those deafness genes found in the cochlear library: COCH (DFNA9), COL2A1 (Stickler syndrome type 1), COL4A5 (Alport syndrome), COL11A1 (Stickler syndrome type 3), EDNRB (Waardenburg syndrome type IV), and GJB2 (DFNA3, DFNB1).

Table 7 Deafness-associated genes found in the human fetal cochlear cDNA library

DISCUSSION

This study was undertaken to identify additional genes important for hearing and deafness. A tissue-specific approach, using total RNA extracted from 16–22 week human fetal cochlea, was our source for expressed auditory genes. Nucleotide sequence similarity (BLAST) analysis was performed with various GenBank databases to determine which known human and novel human homologs of nonhuman mammalian genes were present among the cochlear ESTs. The EST database was also included in the analysis for identification of corresponding ESTs from other tissue-derived libraries. Any cochlear EST that did not have nucleotide sequence similarity to a gene or other EST was considered to be "cochlear-specific." The chromosomal map position was determined for those ESTs that did not have significant sequence similarity to any known gene to establish whether a particular EST was located within the genetic interval of a deafness locus.

It is of interest to know how the cochlear ESTs compare with other tissue-specific ESTs, particularly with respect to the identification of novel sequences. The UniGene database at the National Center for Biotechnology Information (NCBI; http://www.ncbi.nlm.nih.gov/ ) consists of GenBank sequences that have been partitioned into a nonredundant set of gene clusters. Each UniGene cluster contains sequences, both of well-characterized genes as well as of novel ESTs, that represent a unique gene. Currently 358 libraries representing various tissues have been used to produce EST sequences. The number of sequences contributed by each library ranges from 7 to 85,989. According to the UniGene library reports that are updated monthly and available at the NCBI website, as of April 13, 2001, the Morton Fetal Cochlear cDNA Library is ranked 87 of 358 libraries for contribution of sequences, 69 for contribution of clusters (genes), and 72 for contribution of nucleotide sequences that make up novel UniGene entries.

A total of 8494 human cochlear ESTs were generated from our human fetal cochlear cDNA library, of which 5393 (63.5%) were 5′ reads and 3097 (36.5%) were 3′ reads. 8153 (96%) of these ESTs were used for BLAST analyses. About 50% of these ESTs (n = 4040) had sequence similarity to a total of 1449 known human genes, of which 365 were identified by ESTs from both sequencing projects; 490 genes were identified uniquely by ESTs from project 1, and 594 were identified only by ESTs from project 2. A total of 43 human homologs of nonhuman mammalian genes have also been identified. Of the remaining 4055 ESTs, 3277 have sequence similarity to other ESTs and represent 2266 clusters or genes. The remaining 778 ESTs have sequence similarity to no known genes nor ESTs and are considered to be "cochlear-specific."

Identification of cochlear ESTs with significant nucleotide sequence similarity only to known mammalian genes not found previously in human tissue is important because these cochlear ESTs may represent the respective human homologs. The nonhuman genes may be characterized already, facilitating both the cloning and functional assessment of the human homologs, and thus aiding the process of understanding their role in human hearing. Among the group of 43 nonhuman mammalian genes are genes that encode several transmembrane proteins of interest. Transmembrane proteins, such as the connexins, have been shown to be important for the hearing process, specifically for maintenance of the potassium-rich endolymph by actively recycling potassium ions from within hair cells to supporting cells, stria vascularis, and back to the endolymph.

Identification of cochlear ESTs that map to deafness loci provide another way to identify genes important for hearing, especially those involved in hearing impairment. All cochlear ESTs mapped on human chromosomes, including those from project 1, that do not have nucleotide sequence similarity to a known gene sequence are presented on our website (http://hearing.bwh.harvard.edu ); also included are the known syndromic and nonsyndromic deafness loci. A total of 788 loci are represented by cochlear ESTs, 318 of which were identified by the present study. Of the project 2 cochlear ESTs that have nucleotide sequence similarity to no known gene, 373 have been mapped in the human and at least 4 (representing 2 loci) and as many as 39 (representing 36 loci) are found on every chromosome, excluding the Y chromosome. Forty-nine of these mapped project 2 ESTs represent 28 distinct genetic loci that are located within the genetic intervals of 23 deafness loci. Including the mapped ESTs from project 1, a total of 120 cochlear ESTs map within the genetic interval of 34 deafness loci and represent 99 positional candidate genes for these deafness disorders.

None of 49 cochlear ESTs that map within the genetic interval of various deafness loci are cochlear-specific (i.e., they match ESTs produced from other tissue-specific cDNA libraries). This is not a surprising finding as all of the genes responsible for nonsyndromic deafness identified to date are also not "cochlear-specific" (Table 8). Of the nonsyndromic deafness genes identified, only COCH, GJB6, KCNQ4, OTOF, and TECTA have nucleotide sequence similarity to relatively few ESTs. Most deafness genes discovered to date are expressed in many different tissues/organs, as determined by the tissue expression profile of the ESTs to which they have nucleotide sequence similarity (Table 8). Of note, although all of these nonsyndromic deafness genes are expressed in the inner ear, only COCH, GJB2, and GJB6 have been identified among the 8494 cochlear ESTs, reflecting their high expression levels in the cochlea and/or the incomplete gene expression profile of the cochlear transcripts.

Table 8 Tissue expression profile of nonsyndromic deafness genes based on EST sequence similarity

In summary, the two sequencing projects have resulted in identification of 1449 known human genes expressed in the cochlea; 59% were identified by the first project and 41% by the second project (Fig. 1). The finding of an additional 594 known genes among ESTs from project 2 indicates that the sequencing effort was clearly valuable to ascertain additional transcripts present in the human fetal cochlear library. Of note, the finding of additional genes during project 2 is not because new genes have been identified and deposited in GenBank since our initial analysis of project 1 ESTs, since we updated the data by reanalyzing the unassigned ESTs from project 1. A more likely explanation for this finding is the great complexity and diversity of cochlear genes. The identification of additional genes in project 2 suggests that future sequencing efforts would likely lead to identification of yet additional known and novel human genes expressed in the cochlea.