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The Journal of Immunology, 2002, 169: 3825-3830.
Copyright © 2002 by The American Association of Immunologists

The Role of Polymerase {eta} in Somatic Hypermutation Determined by Analysis of Mutations in a Patient with Xeroderma Pigmentosum Variant

Sule Yavuz1,*, Akif S. Yavuz2,*, Kenneth H. Kraemer{dagger} and Peter E. Lipsky3,*

* Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases, Bethesda, MD 20892; and {dagger} Basic Research Laboratory, National Cancer Institute, Bethesda, MD 20892


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
To determine the possible role of polymerase {eta} (pol {eta}) in somatic hypermutation of B cells, a mutational analysis of 24 nonproductive rearrangements from a patient with xeroderma pigmentosum variant with a defect in pol {eta} was conducted. Although the mutational frequency of A and T bases decreased in WA (A/T, A) motifs, regardless of their RGYW (purine, G; pyrimidine, A/T) context, the overall mutational frequency of A or T bases was not affected. Moreover, the overall mutational frequency of the sequences examined was not decreased. There was an apparent increase in the number of insertions and deletions. The results are consistent with the conclusion that pol {eta} specifically targets WA motifs. However, its overall contribution to the somatic hypermutational process does not appear to be indispensable and in its absence other mechanisms maintain mutational activity.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Somatic hypermutation in the variable region of Ig genes is a unique feature of B cells that provides a basis for avidity maturation of Abs. Although many characteristics of somatic mutation have been identified, the molecular mechanisms governing this process remain incompletely delineated. Based on human and murine studies, at least two components could be involved in the generation of somatic mutation (1). Mutational activity could result from a specific mechanism that actively introduces nucleotide changes or an ineffective repair mechanism that does not correct errors efficiently or precisely or both. The net result is hypermutational activity that is highly targeted to RGYW (purine, R, pyrimidine, A/T) motifs (2) on each DNA strand and provides the observed G:C bias of mutations. In contrast, the acquisition of mutations also occurs frequently in nontargeted sequences. Analysis of mutations in animals genetically altered so as not to express components of the mismatch repair (MMR)4 mechanism and analysis of mutations in children with hyper-IgM syndrome, who fail to express a functional CD40 ligand and therefore cannot form germinal centers, has suggested that there might be two separate mechanisms for somatic hypermutation (1, 2, 3, 4, 5, 6). The first is MMR independent, targets RGYW motifs, and occurs in germinal center, whereas the second is MMR dependent, does not target-specific motifs, and does not require germinal center formation (5).

Recently, it has been shown that variable but not constant regions of Ig genes contain a high frequency of double strand breaks near RGYW hotspots, suggesting that error-prone DNA polymerases might be involved in creating mutations during the repair of these DNA breaks (7, 8, 9). To date, many error-prone DNA polymerases have been described, and based on their expression and biochemical properties, a number could be involved in somatic hypermutation of Ig genes individually or in combination.

Xeroderma pigmentosum (XP) is a rare inherited disease with a 1000-fold increase in the incidence of UV-induced skin cancer in association with defective DNA repair (10, 11). Many XP patients have defective nucleotide excision repair, whereas XP variant (XPV) patients have normal nucleotide excision repair but are defective in their replication of UV-damaged DNA because of a defect in DNA polymerase {eta} (pol {eta}) (12, 13). Pol {eta} can efficiently bypass a thymine-thymine cis-syn cyclobutone T-T dimer in the presence of dATP (14, 15, 16, 17). In XPV, UV-induced nucleotide damage is repaired by nucleotide excision repair or by error-prone DNA polymerase {xi} (pol {xi}). Even though pol {eta} reads through T-T dimers without introducing errors, pol {eta} is inaccurate when copying undamaged DNA and incorporates errors at a frequency of 10-2 (17).

Recent reports have implied that pol {eta} might be involved in somatic hypermutation of Ig genes. Zeng et al. (18) reported that somatic hypermutation in patients with XPV occurs at the normal frequency but in an altered pattern with decreased mutations of A and T. In addition, Rogozin et al. (19) showed that pol {eta} introduces mutation in WA (AT/A) motifs (with the underlined nucleotide being most frequently mutated). These results supported the idea that pol {eta} might play a role in somatic hypermutation. However, many WA mutations were part of RGYW motifs and therefore could have been targeted by the germinal center RGYW-focused mutator (20). Therefore, it remained uncertain whether some apparent WA mutations were actually RGYW mutations. Indeed, the impact of pol {eta} deficiency on WA mutation specifically was not analyzed. Furthermore, only mutations in productive rearrangements of XPV patients were analyzed. As a result, it was difficult to be certain that differences in the pattern of mutated nucleotides reflected the action of the mutational machinery or rather the influences of subsequent selection.

To address these issues, we analyzed the mutational characteristics of nonproductively rearranged Ig H chain variable region (VH) genes isolated from individual peripheral B cells of a patient with XPV. Mutations in nonproductive VH rearrangements represent the immediate impact of the mutational machinery in the absence of selective influences and should provide a direct indication of the impact of the absence of pol {eta} on mutational frequency and pattern (2).

Results of this study indicate that in the absence of pol {eta}, WA mutations are decreased both in RGYW/WRCY motifs and non-RGYW sequences. However, the overall frequency of T/A mutations was not decreased. Even though WA mutations were decreased in XPV, pol {eta} does not seem to have an indispensable impact on mutational activity of Ig genes because the overall mutational frequency was normal. An apparent increase in insertions and deletions was found in the nonproductive XPV repertoire, suggesting that in the absence of pol {eta} another error-prone polymerase that preferentially introduces insertions and deletions may be operative.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
XPV patient

PBMC were isolated by Ficoll-Hypaque (Pharmacia, Piscataway, NJ) gradient centrifugation from XP31BE, a 55-year-old male patient with XPV. The DNA repair defect in the patient was classified as XPV based on clinical features that included pigment changes and multiple skin cancers in association with normal post-UV survival, normal unscheduled DNA synthesis, and a mutation in pol {eta}.

FACS analysis

Immunofluorescence staining for cell sorting was performed by incubating PBMC with PE-conjugated anti-CD27 (BD PharMingen, San Diego, CA), PerCP-conjugated anti-CD19 (BD Biosciences, San Jose, CA), and FITC-conjugated anti-CD3. CD19+CD27+CD3- memory B cells and CD19+ B cells were sorted using a FACSVantage (BD Biosciences).

Amplification and sequencing of rearranged VH genes

Rearranged VH genes of individual CD27+CD19+ memory and CD19+ B cells were specifically amplified from genomic DNA, followed by direct sequencing as described (2, 6). Sequences were analyzed using the V Base Directory to identify the respective germline genes. Of 123 VH genes sequenced, 24 nonproductive rearrangements containing mutations and 52 productively rearranged VH genes with mutations were compared. No clonally related sequences were detected. A total of 94 mutated Ig genes from normal donors (37 nonproductively and 57 productively rearranged VH genes) were used for comparison (2). Sequences are accessible in the GenBank Nucleotide Sequence Database (pending). The nonproductive rearrangements were either out of frame (21 of 24) or had introduced stop codons at the VDJ junctions (3 of 24). Because of the nature of the internal primers used for amplification, mutations in framework region (FR) 1 could not be assessed. Therefore, analysis of this region was omitted. The maximal error rate of the amplification technique was previously calculated to be 10-4 mutations/bp with the same Taq polymerase used for this study (21).

Statistical analysis

Sequences were analyzed with the {chi}2 test to compare the differences in the frequencies of mutations and the mutations of RGYW motifs between the productive and nonproductive repertoires. The expected mutational frequency of the 15 RGYW/WRCY motifs was 23.6% (22). The actual frequency of RGYW/WRCY mutations was compared with the expected random frequency using the goodness of fit {chi}2 test.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Of 123 rearranged VH genes amplified from individual B cells of the XPV patient, 46 of 53 from CD27+CD19+ memory B cells and 30 of 70 from CD19+ B cells were mutated. The ratio of productive (pr) to nonproductive (np) rearrangements was 2.5 (38 pr:15 np) in the CD27+CD19+ memory B cell population, whereas it was 6 (60 pr:10 np) in the CD19+ B cell population. The ratio of productive to nonproductive rearrangements in normal CD19+B cells was similar (421 pr:70 np 6). Twenty-four of 25 nonproductively rearranged VH genes contained somatic mutations, whereas 52 of 98 productively rearranged VH genes were mutated.

Distribution of mutations

The 24 nonproductively rearranged VH genes, comprising 5989 bp, contained 247 nucleotide substitutions and a mutational frequency of 4.1 x 10-2 (4.6 x 10-2 for CD27+CD19+ memory B cells vs 3.0 x 10-2 for CD19+ B cells). This was comparable with the previously published (2) data obtained from normal donors (357 substitutions in 9498 bp; 3.8 x 10-2, NS). The 52 productively rearranged VH genes contained 352 nucleotide substitutions within a total of 12,948 bp, for a mutational frequency of 2.7 x 10-2 (3.3 x 10-2 for CD27+CD19+ memory B cells vs 2.0 x 10-2 CD19+ B cells). This frequency was somewhat less than that found in normal donors (484 of 14,474; 3.3 x 10-2, p < 0.003). As has previously been noted in normal individuals (2), the overall mutational frequencies in nonproductive and productive rearrangements were significantly different in XPV (p < 0.0001).

The overall distribution of mutations in specific regions of the VH rearrangements were similar in both nonproductive and productive rearrangements, consisting of increased replacement mutations in complementarity-determining regions (CDRs) compared with FRs. The ratio of replacement to silent mutations was significantly greater in CDRs compared with FRs of the productive rearranged VH genes only (p < 0.0001). This was comparable with the findings of nonproductive and productive VH rearrangements of normal donors (2).

Mutations of RGYW/WRCY

Previously, it has been shown that the RGYW/WRCY motif is a target for increased mutational activity (2, 22, 23). To examine the possible role of pol {eta} in RGYW/WRCY targeting while avoiding the influence of selection, the presence of all mutations occurring in these motifs was analyzed in the nonproductive VH rearrangements. In the nonproductive sequences, 32% (80 of 247 events) of the mutations occurred within an RGYW/WRCY motif, whereas in the productively rearranged sequences, 45% (158 of 352 events) of all mutations occurred in these motifs. The difference in the frequency of mutations in RGYW/WRCY motifs between productive and nonproductive rearrangements is significant (p < 0.002). This difference showed that mutations in RGYW/WRCY motifs are positively selected in productive rearrangements as was previously shown in the normal repertoire (23). To address the potential role of pol {eta} in mutations of WA sequences, all mutations that affected the TA and AA dinucleotides in the nonproductive repertoire were analyzed. Altogether, 18 of 247 (7.3%) base substitutions occurred in WA sequences (Table IGo). This frequency was significantly less than that observed in nonproductive rearrangements of normal donors (93 of 359; 25.9%) (p < 0.001). The frequency of WA mutations in the XPV sequences was significantly reduced compared with normal in both RGYW/WRCY motifs (2.8% vs 13.4%, p < 0.001) and non-RGYW/WRCY sequences (4.5% vs 12.5%, p < 0.001). Theseresults implied that pol {eta} targets WA sequences independent of their location in RGYW/WRCY motifs. Analysis of the nature of the 11mutations of WA dinucleotides outside an RGYW/WRCY motif revealed that A was mutated 9 times (replaced by G three times, T four times, and C twice) and T was mutated twice (replaced by A twice). This was also consistent with the pol {eta} bias for WA compared with WA (19).


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Table I. Decrease in WA mutations in nonproductive genes from an XPV donor

 
Base pair changes

Within the nonproductive repertoire, G was mutated most frequently (34% of all mutations), followed by C (29%), A (17%), and T (20%) (Tables IIGo, IIIGo, and IVGo), whereas in the nonproductive repertoire of normal donors G, C, A, and T accounted for 26, 30, 23, and 21% of mutations, respectively. The frequency of G mutations was significantly greater in the nonproductive repertoire of the patient with XPV than in the normal donors (p < 0.04). Within the productive rearrangements, G (34%) and C (30%) were mutated significantly more frequently in the XPV patient than that was noted in normal donors (G, 26%; C, 24%), whereas A (18%) and T (19%) were less frequently mutated in the XPV patient than in the normal donors (T, 24%; A, 26%). These results suggested that the decrease in T/A mutations noted in the productive rearrangements reflects selective influences and not the immediate action of the mutator. Finally, no bias of transitions over transversions was observed (Tables IIIGo and IVGo).


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Table II. Base substitution in nonproductive and productive VH rearrangements from an XPV patient

 

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Table III. Base substitution in nonproductive and productive VH rearrangements from normal subjects

 

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Table IV. Mutation of individual nucleotides in XPV

 
Analysis of specific VH rearrangements

To determine whether the germline sequence of individual genes might have affected the results, the distribution of mutations in specific genes was analyzed. Three VH3 genes, VH3–15, VH3–23, and VH3–33, were found sufficiently frequently in the nonproductive repertoire (n = 3, 2, 2, respectively) to permit analysis. These VH rearrangements harbored 73 mutations, of which only 2 (3%) were in WA motifs. Of these 73 mutations, however, 18 (25%) were of A, 17 (23%) were of G, 22 (30%) were of C, and 16 (22%) were of T. Therefore, no indication of a decrease in A or T mutations was observed in this subset of VH genes, as was noted with the entire group of VH genes.

Insertions and deletions

Altogether, 7 of 24 nonproductive rearrangements had insertions and/or deletions, whereas none was found in the productive rearrangements (Table VGo). These events were either one or two base insertions and/or deletions per sequence. Overall, five base insertions were observed including two of G, two of T, and one of C insertions. In addition, five base deletions were noted including two of C and three of T. All events were in members of theVH3 family, including 2 in 3–33, and one in each 3–7, 3–8, 3–49, 3–73, and 3–23. Most of the events were observed in the vicinity of an RGYW motif, either within the motif or +1 to +5 or within -2 of the motif (Fig. 1Go). In comparison, a total of 9 base deletions was found in 37 nonproductive rearrangements from normal individuals, whereas none was found in the productive rearrangements (2).


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Table V. Insertions/deletions in nonproductive VH rearrangements

 


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FIGURE 1. Insertion and/or deletion events. Italics represent an RGYW/WRCY motif, underlined bases represent an insertion, and deletional events are indicated as a blank. Bold characters represent mutations. Vertical lines indicate codon position, and the dotted horizontal line indicates the region of the respective genes. Insertions/deletions detected are given in Table VGo.

 

    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
DNA polymerases are candidates to be involved in B cell somatic hypermutation (7, 8, 9). Recently published reports have focused on one of those, pol {eta}. Based on a correlation between strand specific hotspots for somatic mutations at WA sequences and the error specificity of mammalian DNA pol {eta}, Rogozin et al. (19) suggested that pol {eta} might contribute to somatic hypermutation at A-T base pairs. However, most mutations at WA motifs are included within the highly targeted RGYW motifs, raising the possibility that many of the WA mutations were introduced by the same mutational mechanism that targeted RGYW motifs. If this were correct, a role for pol {eta} in somatic hypermutation would be considerably diminished. In addition, pol {eta} is down-regulated in vitro in response to AgR signaling in human tonsil B cells and in CL-01 Burkitt lymphoma cells (24), whereas it is up-regulated in murine germinal centers (18) and after stimulation of BL2 Burkitt lymphoma cells with T cells or IgM cross-linking (25). Because of these disparate findings, the contribution of pol {eta} to somatic hypermutation is still uncertain. To address these issues, a panel of 24 nonproductively rearranged VH genes with somatic mutations from a patient with XPV was analyzed and compared with a previously published panel of 37 nonproductively rearranged VH genes from normal donors (2). Mutations in the nonproductive VH genes are particularly important to analyze because they represent the direct impact of the hypermutational machinery without subsequent influences of selection (2). The current study shows that in the absence of pol {eta}, the mutational frequency is not affected but WA mutations are markedly decreased, regardless of RGYW/WRCY context. However, targeting of mutations to RGYW/WRCY motifs was still observed in XPV B cells. The finding of increased numbers of insertions and deletions in the nonproductive rearrangements of XPV patient also suggests a possible role of pol {eta} in preventing these events or that some other DNA polymerases may play a greater role, when pol {eta} is not available. The results were obtained from analysis of nonproductive rearrangements of a single patient and, therefore, individual idiosyncrasies could have contributed to the results. However, a previous analysis of productive VH6 rearrangements from three XPV patients, including the one studied here, showed marked similarities in the percentage of mutated sequences, the mutational frequency, and the distribution of mutations (18), making this possibility unlikely. Rather, the data suggest that a number of error-prone polymerases, including pol {eta}, can contribute to the process of somatic hypermutation.

Zeng et al. (18) previously reported that in patients with XPV, including XP31BE, the patient studied here who lacked pol {eta}, somatic mutation had an altered pattern with decreased mutations of A and T. In our analysis, we also noted that A-T were mutated less than G-C in B cells of the XPV patients, but only in the productive repertoire. However, in the nonproductive repertoire, this abnormal pattern was not observed. Therefore, despite the significant decrease in WA mutations, there was no general decrease in A or T mutations. Presumably, in the absence of pol {eta}, other mechanisms can target A and T for mutations but apparently specifically target WA poorly. In the previous study, only productively rearranged VH6 genes were analyzed (18). It is likely that the abnormal pattern of mutations reflected altered selection and not the direct impact of the mutational activity. Notably, however, an analysis of silent mutations in VH6 genes also showed diminished targeting to A and T (18), raising the possibility that the absence of pol {eta} may diminish the capacity to mutate A and T in some circumstances. In contrast, G substitutions were significantly greater in both the nonproductive and the productive repertoire of Ig genes in the XPV patient, implying that the polymerases that were active in the absence of pol {eta} may have targeted G preferentially. A similar result was noted by Zeng et al. (18).

In another study, Rogozin et al. (19) reported the results of a mutational analysis of 15 sets of Ig genes as well as the analysis of the nucleotide substitution pattern of human pol {eta}. In this work, they identified that the hotspot motifs RGYW and WA were targeted for somatic mutations. Notably, mutations at WA (TA/AA), which is a strand-specific hotspot motif in Ig genes, supported a role for an error-prone polymerase that operated as a mutator during synthesis of the nontranscribed DNA strand of V regions. In the same study, pol {eta} was identified as being able to cause a biased WA mutational pattern. The data suggested that pol {eta} might contribute to somatic mutations of Ig genes at A-T bases. The current results support this possibility, given that WA mutations accounted for 25.9% of all base substitutions of Ig genes, and there was a significant decrease in the mutation frequency of this motif in the XPV patient compared with normal individuals (25.9% vs 7.3%, p < 0.001). This difference was also observed when we analyzed the WA mutations that occurred outside an RGYW/WRCY motifs and those that occurred within RGYW/WRCY motifs. This implies that WA mutations within RGYW/WRCY motifs are introduced by pol {eta} and not by the mechanisms that introduced mutations in other RGYW/WRCY motifs. The WA mutations observed prominently involved the 3'-A, consistent with the conclusion that they resulted from the action of pol {eta}. However, even though WA mutations were significantly diminished in the XPV patient, there was no overall decrease in the mutational frequency or change in the frequency of T or A mutations. These results indicate that pol {eta} can play a role in somatic hypermutation, but that role can be substituted by other mechanisms, presumably involving other error-prone polymerases.

Another interesting finding was the occurrence of insertions and deletions around RGYW/WRCY motifs in the nonproductive repertoire but not in the productive repertoire. Recent studies suggested that double-strand breaks might be introduced by an unknown endonuclease with an intrinsic preference for RGYW motifs (7, 8, 9). As a result of the double-strand breaks, the intronic enhancer-matrix attachment region complex can be transiently uncoupled from the promoter complex leading to a block in transcription. These small gaps may be filled in by DNA polymerases, which would explain the generation of small duplications, or exonucleases, which would explain the deletions in some mutated VHDJH (1). Numerous template-dependent DNA polymerases have been identified in mammalian cells (26). The lack of pol {eta} may have been partially compensated for by the creation of mutations by other polymerases that cause shifts and insertions, as we observed both insertions and deletions in the sequences from the XPV patient. Based on its preferential expression in germinal center lymphocytes and TdT-like activity, pol µ, which causes frameshifts, may be a good candidate to contribute to this aspect of somatic mutation (26, 27), although a recent report indicates that this polymerase is not required for somatic mutation in mice (28).

In conclusion, pol {eta} affects the hypermutational process at WA hotspots, but its contribution to overall somatic hypermutation is not essential. The exact spectrum of polymerases involved in somatic hypermutation of B cells remains to be completely delineated.


    Footnotes
 
1 Current address: Division of Rheumatology, University of Marmara, Istanbul, Turkey. Back

2 Current address: Department of Internal Medicine, Division of Hematology, University of Istanbul, Istanbul, Turkey. Back

3 Address correspondence and reprint requests to Dr. Peter E. Lipsky, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, 9000 Rockville Pike, Building 10, Room 9N228, Bethesda, MD 20892. E-mail lipskyp{at}mail.nih.gov Back

4 Abbreviations used in this paper: MMR, mismatch repair; XP, xeroderma pigmentosum; XPV, XP variant; pol {eta}, DNA polymerase {eta}; FR, framework region; CDR, complementarity-determining region. Back

Received for publication March 26, 2002. Accepted for publication August 1, 2002.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

  1. Jacobs, H., L. Bross. 2001. Towards an understanding of somatic hypermutation. Curr. Opin. Immunol. 13:208.[Medline]
  2. Dorner, T., H. P. Brezinschek, R. I. Brezinschek, S. J. Foster, R. Domiati-Saad, P. E. Lipsky. 1997. Analysis of the frequency and pattern of somatic mutations within nonproductively rearranged human variable heavy chain genes. J. Immunol. 158:2779.[Abstract]
  3. Reynaud, C. A., B. Bertocci, S. Frey, F. Delbos, L. Quiont, J. C. Weill. 1999. Mismatch repair and immunoglobulin gene hypermutation: did we learn something?. Immunol. Today 20:522.[Medline]
  4. Phung, Q. H., D. B. Winter, A. Cranston, R. E. Tarone, V. A. Bohr, R. Fishel, P. J. Gearhart. 1998. Increased hypermutation at G and C nucleotides in immunoglobulin variable genes from mice deficient in the MSH2 mismatch repair protein. J. Exp. Med. 187:1745.[Abstract/Free Full Text]
  5. Rada, C., M. R. Ehrenstein., M. S. Neuberger, C. Milstein. 1998. Hot spot focusing of somatic hypermutation in MSH2-deficient mice suggests two stages of mutational targeting. Immunity 9:135.[Medline]
  6. Brezinschek, H. P., T. Dorner, N. L. Monson, R. I. Brezinschek, P. E. Lipsky. 2000. The influence of CD40-CD154 interactions on the expressed human VH repertoire: analysis of VH genes expressed by individual B cells of a patient with X-linked hyper-IgM syndrome. Int. Immunol. 12:767.[Abstract/Free Full Text]
  7. Muramatsu, M., K. Kinoshita, S. Fagarsan, S. Yamada, Y. Shinkai, T. Honjo. 2000. Class switch recombination and hypermutation require activation-induced cytidine deaminase (AID), a potential RNA editing enzyme. Cell 102:553.[Medline]
  8. Bross, L., Y. Fukita, F. McBlane, C. Demollere, K. Rajewsky, H. Jacobs. 2000. DNA double-strand breaks in immunoglobulin genes undergoing somatic mutation. Immunity 13:589.[Medline]
  9. Papavasiliou, F. N., D. G. Schatz. 2000. Cell-cycle-regulated DNA double strand breaks in somatic hypermutation of immunoglobulin genes. Nature 408:216.[Medline]
  10. Kraemer, K. H., H. Slor. 1985. Xeroderma pigmentosum. Clin. Dermatol. 3:33.[Medline]
  11. Va Steeg, H., K. H. Kraemer. 1999. Xeroderma pigmentosum and the role of UV-induced DNA damage in skin cancer. Mol. Med. Today 5:86.[Medline]
  12. Masutani, C., R. Kusumoto, A. Yamada, N. Dohmae, M. Yokoi, M. Yuasa, M. Araki, S. Iwai, K. Takio, F. Hanaoka. 1999. The XPV (xeroderma pigmentosum variant) gene encodes human DNA polymerase {eta}. Nature 399:700.[Medline]
  13. Johnson, R. E., C. M. Kondratick, S. Prakash, L. Prakash. 1999. hRAD30 mutations in the variant form of xeroderma pigmentosum. Science 285:263.[Abstract/Free Full Text]
  14. Washington, M. T., R. E. Johnson, S. Prakash, L. Prakash. 2000. Accuracy of thymine-thymine dimmer bypass by Saccharomyces cerevisiae DNA polymerase {eta}. Proc. Natl. Acad. Sci. USA 97:3094.[Abstract/Free Full Text]
  15. Johnson, R. E., M. T. Washington, S. Prakash, L. Prakash. 2000. Fidelity of human DNA polymerase {eta}. J. Biol. Chem. 275:7447.[Abstract/Free Full Text]
  16. Masutani, C., R. Kusumoto, S. Iwai, F. Hanaoka. 2000. Mechanisms of accurate translesion synthesis by human DNA polymerase {eta}. EMBO J. 19:3100.[Medline]
  17. Matsuda, T., K. Bebenek, C. Masutani, F. Hanaoka, T. A. Kunkel. 2000. Low fidelity DNA synthesis by human DNA pol {eta}. Nature 404:1011.[Medline]
  18. Zeng, X., D. B. Winter, C. Kasmer, K. H. Kraemer, A. R. Lehmann, P. J. Gearhart. 2001. DNA polymerase {eta} is an A-T mutator in somatic hypermutation of immunoglobulin variable genes. Nat. Immunol. 2:537.[Medline]
  19. Rogozin, I., Y. I. Pavlov, K. Bebenek, T. Matsuda, T. Kunkel. 2001. Somatic mutation hotspots correlate with DNA polymerase {eta} error spectrum. Nat. Immunol. 2:530.[Medline]
  20. Dörner, T., P. E. Lipsky. 2001. Smaller role for pol {eta}?. Nat. Immunol. 2:982.[Medline]
  21. Farner, N. L., T. Dorner, P. E. Lipsky. 1999. Molecular mechanisms and selection influence the generation of the human V{lambda} and J{lambda} repertoire. J. Immunol. 162:2137.[Abstract/Free Full Text]
  22. Yavuz, S., A. C. Grammer, A. S. Yavuz, T. Nanki, P. E. Lipsky. 2001. Comparative characteristics of µ and {alpha} chain transcripts expressed by individual tonsil plasma cells. Mol. Immunol. 38:19.[Medline]
  23. Dörner, T., S. J. Foster, N. L. Farner, P. E. Lipsky. 1998. Somatic hypermutation of human immunoglobulin heavy chain genes: targeting of RGYW motifs on both DNA strands. Eur. J. Immunol. 28:3384.[Medline]
  24. Zan, H., A. Komori, Z. Li, A. Cerutti, A. Schaffer, M. F. Flajnik, M. Diaz, P. Casali. 2001. The translesion DNA polymerase {zeta} plays a major role in Ig and bcl-6 somatic hypermutation. Immunity 14:643.[Medline]
  25. Poltoratsky, V, C. J. Woo, B. Tippin, A. Martin, M. F. Goodman, M. D. Scharff. 2001. Expression of error-prone polymerases in BL2 cells activated for Ig somatic mutation. Proc. Natl. Acad. Sci USA 98:7976.[Abstract/Free Full Text]
  26. Friedberg, E. C., P. L. Fischhaber, C. Kisker. 2001. Error-prone DNA polymerases: novel structures and the benefit of infidelity. Cell 107:9.[Medline]
  27. Zhang, Y., X. Wu, F. Yuan, Z. Xie, Z. Wang. 2001. Highly frequent frameshift DNA synthesis by human DNA polymerase µ. Mol. Cell. Biol. 21:7995.[Abstract/Free Full Text]
  28. Bertucci, B, A. DeSmet, E. Flatter, A. Dahan, J.-C. Bories, C. Landrean, J.-C. Weill, C.-A. Reynaud. 2002. DNA polymerases µ and {lambda} are dispensable for Ig gene hypermutation. J. Immunol. 168:3702.[Abstract/Free Full Text]



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N. S. Longo, C. L. Satorius, A. Plebani, A. Durandy, and P. E. Lipsky
Characterization of Ig Gene Somatic Hypermutation in the Absence of Activation-Induced Cytidine Deaminase
J. Immunol., July 15, 2008; 181(2): 1299 - 1306.
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J. Immunol.Home page
C.-M. Hogerkorp and C. A. K. Borrebaeck
The Human CD77- B Cell Population Represents a Heterogeneous Subset of Cells Comprising Centroblasts, Centrocytes, and Plasmablasts, Prompting Phenotypical Revision
J. Immunol., October 1, 2006; 177(7): 4341 - 4349.
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J. Immunol.Home page
J. Spencer and D. K. Dunn-Walters
Hypermutation at A-T Base Pairs: The A Nucleotide Replacement Spectrum Is Affected by Adjacent Nucleotides and There Is No Reverse Complementarity of Sequences Flanking Mutated A and T Nucleotides
J. Immunol., October 15, 2005; 175(8): 5170 - 5177.
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J. Immunol.Home page
V. I. Mayorov, I. B. Rogozin, L. R. Adkison, and P. J. Gearhart
DNA Polymerase {eta} Contributes to Strand Bias of Mutations of A versus T in Immunoglobulin Genes
J. Immunol., June 15, 2005; 174(12): 7781 - 7786.
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N.-Y. Zheng, K. Wilson, M. Jared, and P. C. Wilson
Intricate targeting of immunoglobulin somatic hypermutation maximizes the efficiency of affinity maturation
J. Exp. Med., May 2, 2005; 201(9): 1467 - 1478.
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A. Lahdesmaki, A. M. R. Taylor, K. H. Chrzanowska, and Q. Pan-Hammarstrom
Delineation of the Role of the Mre11 Complex in Class Switch Recombination
J. Biol. Chem., April 16, 2004; 279(16): 16479 - 16487.
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A. Faili, S. Aoufouchi, S. Weller, F. Vuillier, A. Stary, A. Sarasin, C.-A. Reynaud, and J.-C. Weill
DNA Polymerase {eta} Is Involved in Hypermutation Occurring during Immunoglobulin Class Switch Recombination
J. Exp. Med., January 20, 2004; 199(2): 265 - 270.
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J. P. McDonald, E. G. Frank, B. S. Plosky, I. B. Rogozin, C. Masutani, F. Hanaoka, R. Woodgate, and P. J. Gearhart
129-derived Strains of Mice Are Deficient in DNA Polymerase {iota} and Have Normal Immunoglobulin Hypermutation
J. Exp. Med., August 18, 2003; 198(4): 635 - 643.
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