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The Journal of Immunology, 1999, 162: 2137-2145.
Copyright © 1999 by The American Association of Immunologists

Molecular Mechanisms and Selection Influence the Generation of the Human V{lambda}J{lambda} Repertoire1

Nancy L. Farner, Thomas Dörner and Peter E. Lipsky2

Department of Internal Medicine and Harold C. Simmons Arthritis Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75235


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
To define the {lambda} light chain repertoire in humans, a single-cell PCR technique using genomic DNA obtained from individual peripheral B cells was employed. Of the 30 known functional V{lambda} genes, 23 were detected in either the nonproductive or productive repertoires. Specific V{lambda} genes, including 2A2, 2B2, 1G, and 4B, were overexpressed in the nonproductive repertoire, whereas some V{lambda} genes, such as 3R, 2A2, 2B2, 1C, 1G, and 1B, were overexpressed in the productive repertoire. Comparison of the nonproductive and productive repertoires indicated that no V{lambda} genes were positively selected, whereas a number of V{lambda} genes, including 4C, 1G, 5B, and 4B, were negatively regulated. All four of the functional J{lambda} segments were found in both repertoires, with J{lambda}7 observed most often. Evidence of terminal deoxynucleotidyltransferase activity was noted in nearly 80% of nonproductive V{lambda}J{lambda} rearrangements, and exonuclease activity was apparent in the majority. Despite this, the mean CDR3 length was 30 base pairs in both productive and nonproductive repertoires, suggesting that it was tightly regulated at the molecular level. These results have provided new insights into the dimensions of the human V{lambda} repertoire and the influences that shape it.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Immunoglobulin molecules consist of two identical heavy and two identical light chains 1, 2, 3 . Because of the random recombination of heavy and light chain genetic elements and the random association of heavy and light chains, an enormously diverse repertoire of Ig molecules can potentially be generated and expressed by B cells. Approximately 60% of human B cells express {kappa} light chains, whereas about 40% express {lambda} light chains 4, 5, 6, 7 . A great deal of information is available about the human {kappa}-chain repertoire, but much less is known about the distribution of expressed {lambda}-chains and the mechanisms involved in the generation of the human {lambda} repertoire. Part of the reason for the limited information about the human {lambda} repertoire relates to the relatively delayed development of knowledge regarding the genetic organization of the {lambda} locus 8, 9, 10, 11, 12, 13, 14 . Delineation of the dimensions of the human {lambda} repertoire is important not only because this light chain is used by 40% of all human B cells, but also because a large number of autoantibodies appear to employ {lambda}-chains 15, 16 .

The human V{lambda} locus is located on chromosome 22q11.2 and is arranged so that J{lambda}/C{lambda} pairs are downstream of the V{lambda} genes, which are organized into three clusters 8 . There are a total of 51 V{lambda} genes in this locus, 30 of which are thought to be functional 9 . The V{lambda} genes themselves are divided into 10 families according to sequence homology, and the 10 families are divided into three clusters (A, B, and C). Cluster A, which is J{lambda}-proximal, contains the V{lambda}2 and V{lambda}3 families and the 4B gene from the V{lambda}4 family; cluster B contains the V{lambda}1, V{lambda}5, V{lambda}7, and V{lambda}9 families; and cluster C, which is J{lambda}-distal, contains the V{lambda}6, V{lambda}8, and V{lambda}10 families, as well as genes 4A and 4C from the V{lambda}4 family. All V{lambda} genes are organized in the same transcription orientation, and, therefore, rearrange by deletion.

There are seven J{lambda} segments, of which four (J{lambda}1, J{lambda}2, J{lambda}3, and J{lambda}7) are considered functional 11, 12 . J{lambda}4, J{lambda}5, and J{lambda}6 are not considered functional because the GT dinucleotide sequence in the 5' splice donor site of these three J segments has been deleted 11 . The J{lambda} segments are arranged so that one of the seven C{lambda} segments is located between each J{lambda} segment 11, 12, 13, 14 . This is in contrast to the heavy and {kappa} gene loci, in which all J segments are grouped together followed by the C segment(s) 2 .

The goal of this study was to assess the usage of V{lambda} genes by normal human peripheral B cells. A single-cell PCR technique was employed, and, because the template was genomic DNA, the methodology permitted detection of both productive and nonproductive rearrangements. Analysis of nonproductive (nonexpressed) rearrangements permits an estimate of the immediate products of the V{lambda}J{lambda} combinatorial machinery without the overarching influence of selection. The distribution of V{lambda} genes in the productive rearrangements is influenced not only by V{lambda}J{lambda} recombination, but also by subsequent positive and negative selection and potential receptor editing at various stages of B cell development.

The data summarized here include the analysis of 55 nonproductive and 172 productive V{lambda}J{lambda} rearrangements randomly found in normal human peripheral B cells. Analysis of the sequences of these genes provides the first comprehensive view of the dimensions of the normal human V{lambda} repertoire and the influences that generate it.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Cell preparation and cell sorting

Peripheral blood was obtained from two healthy donors (donor 1 was a 26-year-old Hispanic man, and donor 2 was a 42-year-old Caucasian man). Mononuclear cells were isolated by Ficoll-Hypaque sedimentation as described 17 . B cells were further enriched using a CD19-positive selection column. The cells were then stained with a biotinylated anti-CD5 mAb (followed by secondary staining with RED613-labeled streptavidin), a phycoerythrin-labeled anti-CD19 mAb, and a FITC-labeled anti-human IgM mAb. The cells were sorted using a FACStarPlus flow cytometer Becton Dickinson, San Jose, CA outfitted with an automatic cell deposition unit, and one cell was deposited into each well of a 96-well PCR plate assembled on a microAmp base. The two populations obtained with this technique were CD19+/IgM+/CD5+ or CD5- B cells. Each well contained 5 µl of an alkaline lysing solution (200 mM KOH/50 mM DTT).

Primer extension preamplification

To obtain sufficient amounts of DNA for multiple subsequent PCR reactions, a preamplification step was employed using random 15-oligomers and 60 rounds of amplification with TAQ polymerase.

Amplification of rearranged V{lambda}J{lambda} sequences

The sequences of all primers used to amplify V{lambda}J{lambda} rearrangements are shown in Table IGo. All of the V{lambda} genes (including pseudogenes) in the V base 9 should be amplified with these primers if rearranged, according to PCR simulations using the Amplify 1.2 software program (provided by B. Engels, Genetics Department, University of Wisconsin at Madison). Only those J{lambda} segments that have been documented to rearrange (J{lambda}1, J{lambda}2, J{lambda}3, and J{lambda}7) would be amplified by these primers. It should be noted that because of the J{lambda} primer design, J{lambda}2 and J{lambda}3 cannot be distinguished from each other. For the initial (external) PCR amplification, 25 µl of a lower reaction mix containing 100 µM concentration of each deoxynucleoside triphosphate, 0.5 µM concentration of each primer listed as an external primer in Table IGo, and 2 mM MgCl2 were added to each well of a 96-well PCR plate (Robbins Scientific, Sunnyvale, CA). The lower reaction mix was isolated by sealing it with a wax pellet. A total of 50 µl of an upper reaction mix containing 10x PCR buffer and 2 units of TAQ DNA polymerase (Promega, Madison, WI) were added to each well, followed by 5 µl of template generated from the preamplification step. The amplification protocol was as follows: step 1, 95°C for 10 min; step 2, 50°C for 30 s; step 3, 72°C for 1 min 30 s; step 4, 94°C for 1 min; step 5, 35 cycles from step 2 through step 4; step 6, 72°C for 5 min. The second (nested) PCR was performed in the same manner, with the exception that only one V{lambda} family-specific internal primer (listed as nested primers in Table IGo) was used in the lower reaction mix in any one amplification, and the template was 5 µl of the initial (external) PCR reaction. The annealing temperature in step 2 of the second (nested) PCR program was 62°C. All V{lambda} primers were manufactured by Integrated DNA Technologies (Coralville, IA).


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Table I. Sequences of oligonucleotide primers for amplification of V{lambda}J{lambda} rearrangements1

 
Sequence analysis

All PCR products were separated by electrophoresis on a 1.5% Seakem Agarose gel (FMC BioProducts, Rockland, ME). Positive bands (as visualized with ethidium bromide) were cut from the agarose gel and purified using GenElute agarose spin columns (Supelco, Bellefonte, PA). Purified products were sequenced directly using the dideoxy termination method 18 with the ABI PRISM Dye Terminator Cycle Sequencing Ready Reaction Kit (Perkin-Elmer, Foster City, CA). Sequences were primed with the internal V{lambda} primers listed in Table IGo and analyzed on an Applied BioSystems 377 Automated DNA Sequencer (Perkin-Elmer). The V{lambda} sequences were identified using the Sequencher software (Gene Codes Corp, Ann Arbor, MI) and the V BASE Sequence Directory (provided by I. Tomlinson, Medical Research Council Centre for Protein Engineering, Cambridge U.K.). The V{lambda} nomenclature (as indicated in the V BASE Sequence Directory) was employed. J{lambda} segments were identified manually. A rearrangement was considered productive if it contained no stop codons and the V{lambda}J{lambda} junction maintained the reading frame into the J{lambda} segment. All 55 nonproductive rearrangements were out of frame; none contained stop codons. Rearrangements that involved pseudogenes were always considered nonproductive. All sequences are available from the EMBL Data Bank (accession numbers AJ230234–AJ230460).

Accuracy of the sequencing technique

To validate the reliability of the {lambda} sequence data, a known V{lambda}1 rearrangement (L18F) was subjected to the preamplification procedure and subsequent nested amplifications multiple times. A single PCR product (238 base pairs (bp)3 long) was obtained in each of 96 amplifications and subjected to sequencing as described above. Clear sequences were found in 81 of the 96 PCR products. A total of 19,261 bp were analyzed, and two errors were detected in the resulting copies (error rate: 1.0 x 10-4). This outcome is similar to a previous report estimating PCR-induced errors to be seven errors in 42,000 bp (error rate: 1.7 x 10-4) 19 and indicates that the technique used to obtain and sequence V{lambda} rearrangements introduces few if any errors.

ß-Actin analysis

To determine the number of wells that received a cell during the sorting procedure, PCR amplifications using ß-actin primers was performed. Both external and internal primers were designed. The external primers were 5'-ATCTGGCACCACACCTTCTACAATGAGCTGCG-3' and 5'-CGTCATACTCCTGCTTGCTGATCCACATCTGC-3'. The internal primers were 5'-GTTTGAGACCCTTCAACACCC and 5'-CCAGGAAGGAAGGCTGGAAG-3'. All ß-actin primers were manufactured by Integrated DNA Technologies. A PCR product of ~400 bp from exon 3 of the ß-actin gene 20 is generated using the same protocol as used to amplify the V{lambda} rearrangements. The percentage of wells containing a ß-actin product was then divided by the total number of wells sampled for amplification. A ß-actin product was detected in ~84% of wells.

Statistical methods

{chi}2 tests were used to compare the distribution of V{lambda} and J{lambda} elements found in the nonproductive and productive repertoires. Values of p <= 0.05 were considered significant. The goodness-of-fit {chi}2 test was used to assess differences between the observed frequencies and the expected frequencies of V{lambda} genes as would be expected by random usage based on the number of V{lambda} genes known to be in the genome.

Analysis of V{kappa} rearrangements

The V{kappa} data included in Table IIGo were previously reported in Ref. 21.


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Table II. Single-cell PCR amplification of V{kappa}J{kappa} and V{lambda}J{lambda} rearrangements from individual IgM+B cells

 

    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Amplification of V{lambda}J{lambda} rearrangements from individual B cells

Of the 736 individual CD19+/IgM+/CD5+ or CD5- B cells that were sorted, 185 contained at least one rearranged {lambda} light chain gene. A total of 26.6% of the wells from donor 1 and 24.6% of the wells from donor 2 contained rearranged {lambda} light chain genes. Table IIGo summarizes the distribution of {kappa} and {lambda} rearrangements in the B cells analyzed. Of the total number of wells in which at least one productive VL rearrangement was detected (n = 432), 293 (67.8%) contained one productive {kappa} rearrangement, whereas 139 (32.2%) contained at least one productively rearranged {lambda}-chain gene. This ratio is reflective of the distribution of {kappa} and {lambda} light chains in human B cells.

All 10 V{lambda} families are detected in both the nonproductive and productive repertoires

Table IIIGo compares the distribution of the 10 V{lambda} gene families detected in individual B cells to the expected distribution based on the presence of V{lambda} family members in the genome. The V{lambda}2 and V{lambda}1 families were found at the highest frequencies in the nonproductive repertoire (30.9% and 25.4%, respectively), followed by the V{lambda}4 family (18.2%). The V{lambda}3 family and the less frequently found families (V{lambda}5–10) accounted for 25.3% of the nonproductive repertoire. The V{lambda}1 and V{lambda}4 families were found significantly more often than expected in the nonproductive repertoire, whereas the V{lambda}3 family was found significantly less often than expected. The frequencies of the remaining families (V{lambda}5–10) in the nonproductive repertoire were not significantly different from expected.


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Table III. Distribution of V{lambda} families from individual IgM+ B cells

 
The V{lambda}2 and V{lambda}1 families were also found most frequently in the productive repertoire (33.1% and 29.1%, respectively), followed by the V{lambda}3 family (15.7%). The V{lambda}4 family and the less frequent families (V{lambda}5–10) accounted for 22.2% of the productive repertoire. The V{lambda}1 and V{lambda}2 families were found significantly more often than expected in the productive repertoire, whereas the V{lambda}3, V{lambda}5, and V{lambda}9 families were detected less often than expected. The frequencies of the remaining families (V{lambda}4, V{lambda}6, V{lambda}7, V{lambda}8, V{lambda}9, and V{lambda}10) in the productive repertoire were not significantly different from expected.

When the nonproductive and productive repertoires were compared, the V{lambda}4 family was found to be significantly underrepresented in the productive repertoire (p < 0.001), and the V{lambda}3 family was found more often in the productive repertoire (p < 0.018).

Overall V{lambda} gene cluster representation is comparable to that expected from random usage

As shown in Table IVGo, the frequencies of clusters A and B V{lambda} genes in the nonproductive repertoire were comparable to the expected distribution, whereas cluster C V{lambda} genes was overrepresented in the nonproductive repertoire. The distribution of all clusters in the productive repertoire was comparable to the expected distribution.


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Table IV. Distribution of V{lambda} gene clusters from individual IgM+B cells

 
A few V{lambda} genes are overrepresented in the normal repertoire

As shown in Fig. 1Go, not all of the V{lambda} genes were detected in this analysis. Of the 30 putative functional V{lambda} genes, 15 were detected in the nonproductive repertoire. A total of five pseudogenes was also detected in the nonproductively rearranged repertoire (2A1, 3A2, 3I, 7C, and 5A). Of the functional V{lambda} genes that were detected, 2A2, 2B2, 1G, and 4B were found more often than expected in the nonproductive repertoire. All of the other genes were found at frequencies that did not deviate significantly from the expected frequency.



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FIGURE 1. Distribution of V{lambda} genes rearranged in individual IgM+ B cells. Distribution of nonproductively (dashed bars, top panel) and productively (black bars, bottom panel) rearranged V{lambda} genes. The x-axis are the V{lambda} genes oriented so that the most J-proximal gene is the farthest to the left, and the most J-distal gene is the farthest to the right. The y-axis is the frequency with which the gene appears as a percent of total genes in the nonproductive repertoire (top panel) or the productive repertoire (bottom panel). *, Significantly higher frequency than predicted from its presence in the genome; {propto}, significantly lower frequency than predicted from its presence in the genome; {psi}, pseudogene; X, significant differences between the frequency in the productive and nonproductive repertoires.

 
With regard to the productive repertoire, 21 of the 30 functional genes were detected. Of the functional V{lambda} genes expressed, 3R, 2A2, 3H, 2B2, 1C, 1G, and 1B were found more often than expected in the productive repertoire, whereas 3M and 9A were found less often than expected. Moreover, a number of V{lambda} genes were not found at all in the productive repertoire, including 4C, 3P, 3A, 2D, 3L, 3E, 1A, 5B, and 4A.

Comparison of the nonproductive and productive distributions indicated that 4C (p = 0.001), 1G (p = 0.012), 5B (p = 0.048), and 4B (p = 0.026) were negatively selected in that they were found significantly less often in the productive compared with the nonproductive repertoire. No evidence of positive selection of V{lambda} genes was detected, although 3H was modestly, but not significantly (p = 0.060), overrepresented in the productive repertoire.

All functional J{lambda} segments are used in the V{lambda}J{lambda} rearrangements

Table VGo depicts the distribution of J{lambda} gene elements in the nonproductive and productive repertoires. J{lambda}1 was the least used J{lambda} gene segment in the nonproductive and productive repertoire (5.5% vs 7.0%). With the PCR conditions employed, J{lambda}2 and J{lambda}3 cannot be distinguished, but were used less frequently than expected in both the nonproductive and productive repertoires as well (34.5% vs 39%). J{lambda}7 was used more frequently than expected in the nonproductive repertoire (60%) and the productive repertoire (54.1%). Hence, the order of J{lambda} usage in both the nonproductive and productive repertoires was the same (J{lambda}1 used least often, followed by J{lambda}2/3, and J{lambda}7 used most often). Moreover, the frequency of each J{lambda} segment was similar in the nonproductive and productive repertoires.


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Table V. Distribution of J{lambda} genes in individual IgM+B cells1

 
Bias in association of V{lambda} and J{lambda} segments

It was possible that the bias in J{lambda} segment utilization in both the nonproductive and productive repertoires was related to preferential rearrangement of certain J{lambda} segments with certain V{lambda} genes. To address this, all V{lambda} rearrangements were analyzed for the preferential usage of J{lambda} segments. Table VIGo shows the subset of V{lambda} genes exhibiting biased association with specific J{lambda} segments. It was evident from Table VGo that J{lambda}1 was used the least in the nonproductive repertoire and, as indicated in Table VIGo, associated with only two V{lambda} genes (2A1 and 1G). The J{lambda}2/3 and J{lambda}7 segments were rearranged with the majority of the V{lambda} genes used in the nonproductive repertoire, whereas the 2B2 and 1G genes rearranged most often with the J{lambda}7 segment. Although several other genes not shown in Table VIGo appeared to rearrange exclusively with either the J{lambda}2/3 or J{lambda}7 segments in the nonproductive repertoire, the numbers of rearrangements were quite small and thus the relevance of their distribution is uncertain.


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Table VI. Biased utilization of V{lambda} genes and J{lambda} genes in nonproductive and productive V{lambda}J{lambda} rearrangements in individual IgM+B cells

 
J{lambda}1 usage in the productive repertoire was not limited to rearrangements with specific genes, but was nonetheless used less often than the other J segments. As in the nonproductive repertoire, the J{lambda}2/3 and J{lambda}7 segments rearranged with the majority of the V{lambda} genes used in the productive repertoire. 3R and 2C appeared most often in the productive repertoire rearranged to the J{lambda}2/3 segments, whereas 2B2, 7A, and 4B rearrangements most frequently employed the J{lambda}7 segment.

Differences in the CDR3 lengths of the nonproductive and productive repertoire

As indicated in Fig. 2Go, 43% of the 175 productive V{lambda}J{lambda} rearrangements had a CDR3 length of 33 bp and 28.5% of them had a CDR3 length of 30 bp. The mean (±SEM) length of the CDR3 in productively rearranged V{lambda}J{lambda} genes was 30.9 ± 0.2 bp, with a range from 27 to 45 bp. The CDR3 lengths of the nonproductive rearrangements were somewhat more broadly distributed with a range from 23 to 53 bp. Despite this, the mean (±SEM) length of the CDR3 of the nonproductively rearranged V{lambda}J{lambda} genes was 31.9 ± 0.5 bp, not significantly different from that of the productive rearrangements.



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FIGURE 2. CDR3 length of V{lambda}J{lambda} genes from individual IgM+ B cells. Length of CDR3 sequences from 55 nonproductively (hatched bars) and 172 productively (black bars) V{lambda}J{lambda} rearrangements. The x-axis is the percentage of sequences with a particular CDR3 length, and the y-axis is the CDR3 length in nucleotides.

 
Terminal deoxynucleotidyltransferase (TdT) activity is apparent in V{lambda}J{lambda} rearrangements

Further analysis sought to determine the imprint of TdT activity in both the nonproductive and productive repertoires. As shown in Table VIIGo, only 21.4% of the nonproductive rearrangements exhibited no evidence of TdT activity, whereas 78.6% of the nonproductive rearrangements had one to nine n-insertions per rearrangement. A total of 71% of the productive rearrangements had 1–11 n-insertions per rearrangement. The mean (±SEM) number of n-insertions (for those rearrangements that had them) was 3.0 ± 0.3 nucleotides for nonproductive rearrangements and 2.8 ± 0.1 nucleotides for productive rearrangements. This indicates that TdT was active during the V{lambda}J{lambda} rearrangement process.


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Table VII. Imprint of TdT activity on rearranged V{lambda}J{lambda} genes from individual IgM+ B cells

 
Exonuclease activity is apparent in the majority of V{lambda}J{lambda} rearrangements

Evidence of V{lambda} (5') exonuclease activity was detected in 44.7% and 42.3% of the nonproductive and productive rearrangements, respectively. A range of one to nine nucleotides was removed (Table VIIIGo), although the effect of 5'-exonuclease activity more frequently was to remove one to three nucleotides. J{lambda} (3') exonuclease activity was detected in 75% and 70.3% of the nonproductive and productive rearrangements, respectively. A range of one to nine nucleotides was removed as well (Table IGoX), although the more frequent impact of 3'-exonuclease activity was the removal of three nucleotides.


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Table VIII. Imprint of 5' exonuclease activity on rearranged V{lambda}J{lambda} genes from individual IgM+ B cells

 
Comparison of the CD5+ and CD5- populations

Very few differences were found in the CD5+ and CD5- populations of the two donors. The V{lambda}3 and V{lambda}6 family distributions in the CD5+ and CD5- populations in the productive repertoire of donor 1 were slightly different. The CD5- population had more V{lambda}3 and V{lambda}6 rearrangements than the CD5+ population (p = 0.03). However, the total numbers for these two groups were quite small (n = 5 vs n = 1 for V{lambda}3, and n = 3 vs n = 0 for V{lambda}6). In addition, the V{lambda}1 family was more prevalent in the CD5+ B cells compared with the CD5-B cells in the nonproductive repertoire of donor 2 (n = 10 vs n = 2, p = 0.02). J{lambda} segment utilization was not different in either donor in either B cell subset.


    Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The analysis of V{lambda} utilization by individual human peripheral B cells has documented a number of features of the expressed human V{lambda} repertoire and has begun to identify influences that shape its development. Specifically, there is a distinct bias for individual V{lambda} genes to be rearranged as judged by their distribution in the nonproductive repertoire, but no evidence of positive selection of V{lambda} rearrangements was apparent. In addition, the CDR3 length of the rearranged {lambda} genes is 1–2 amino acids longer than that of rearranged {kappa} genes and is determined by both molecular mechanisms operating on the V{lambda}J{lambda} joins as well as selection that eliminates excessively long CDR3s. Moreover, TdT activity occurs frequently in V{lambda}J{lambda} rearrangements, implying that they occur contemporaneously with V{kappa}J{kappa} rearrangements.

A number of features of this analysis indicated that a nonbiased sample has been analyzed and that the distribution of sequences detected reflected the actual distribution of V{lambda}-expressing B cells in vivo. An attempt was made to deposit one cell in each of 736 wells, although four of these wells contained more than one cell. According to the recovery of ß-actin sequences, at least one cell was deposited ~84% of the time, and so the maximum number of wells in which a productive VL chain could be detected was 618. According to previous reports 5, 6 and as demonstrated here, the ratio of B cells expressing {kappa} and {lambda} is ~2:1 in humans. Thus, if the efficiency of amplification was 100%, 419 wells should have contained a productive {kappa}-chain and 199 wells should have contained a productive {lambda}-chain. However, the data indicate that the amplification efficiencies were somewhat less, but comparable for the {kappa}- and {lambda}-chains, with the efficiency of detecting productive {kappa}-chains being 69.9% (293/419) and that of detecting productive {lambda}-chains being 69.8% (139/199).

The overall distribution of productive V{lambda} families is comparable to that reported previously 10 , although there are no previous data on the use of V{lambda} genes in the nonproductive repertoire. As the nonproductive repertoire directly reflects the action of the V{lambda}J{lambda} recombination machinery without the superimposed influence of positive and negative selection, the availability of this information provides important insight regarding the molecular influences that shape the final expressed repertoire.

Analysis of the VH and V{kappa} repertoires of this same set of B cells indicated that families with the most functional genes (VH3 and V{kappa}1) constituted the majority of rearrangements in the nonproductive repertoire 17, 21 . This was not the case with the V{lambda} repertoire. The V{lambda}3 family contains the most functional genes in the lambda locus, but was the fourth most frequently employed V{lambda} family in the nonproductive repertoire, indicating that there is bias in the use of V{lambda} gene families for V{lambda}J{lambda} recombination. Overrepresentation of V{lambda} families largely resulted from the preferential usage of a limited number of individual genes within the family. Overrepresentation of the V{lambda}1 and V{lambda}4 families in the nonproductive repertoire reflected a significantly higher frequency of the individual genes, 1G (16.4%) and 4B (12.7%). In contrast, it is likely that underrepresentation of the V{lambda}3 family was related to the lack of rearrangements of this entire family based on a feature that is common to the V{lambda}3 family and infrequently found in other V{lambda} genes. These results indicate that there is preferential use of specific V{lambda} genes of the V{lambda}1 and V{lambda}4 families and underutilization of the V{lambda}3 family in the recombination process of the V{lambda} locus. It should be emphasized that the preferential usage of specific V{lambda} gene segments in nonproductive rearrangements is similar to that noted for V{kappa} genes 21 , thus implying similarities in the molecular mechanisms governing recombination of light chain genes.

Factors that can influence the use of specific V{lambda} genes in the recombination process include accessibility of the DNA to the recombination machinery, diversity in recombination signal sequences (RSS) with varying efficiencies, promoter and enhancer efficiencies, and proximity of V genes to the J genes. An analysis of the individual genes overrepresented in the nonproductive repertoire, such as 1G and 4B, and those not found at all in the nonproductive repertoire may reveal that one or more of these factors underlies the rearrangement bias. However, a complete understanding of the regulatory influences of the promoter(s) and enhancer(s) at the {lambda} locus is only beginning to emerge 22, 23 , and thus their role in recombination bias cannot be estimated. However, efficiency of RSS does not appear to contribute significantly to the biased use of particular V{lambda} genes as the RSS are largely conserved among the V{lambda} genes 14 .

One of the factors that might influence the distribution of V{lambda} genes in the nonproductive repertoire is that genes more proximal to the J-segments might have a greater propensity to rearrange. This has been suggested by some studies of VH and V{kappa} rearrangements 24, 25 , but not others 17, 21 . In the current analysis, it is clear that distance from the J{lambda} segments per se does not determine V{lambda} utilization, as the most frequently used genes are dispersed throughout the V{lambda} locus and are not all within cluster A. In fact, the 4B gene is the most distal V{lambda} gene and is the second most frequently rearranged gene in the nonproductive repertoire. This is similar to the {kappa} repertoire, in which overrepresented V{kappa} genes in the nonproductive repertoire were also dispersed throughout the J{kappa} proximal V{kappa} cassette, which is similar in length to the {lambda} locus and also comparable in that all V{kappa} genes in this cassette rearrange by deletion. Hence, there is no preference for rearranging V{lambda} genes that are proximal to the J{lambda} segments, nor is the position of V{lambda} genes an apparent hindrance to rearrangement at the {lambda} locus as evidenced by the observation that the majority of the more distal V{lambda} genes in the nonproductive repertoire were found largely at their expected frequencies.

The V{lambda}1 and V{lambda}2 families were found more often than expected in the productive repertoire, and the V{lambda}3 family was found less often than expected. The overrepresentation of the V{lambda}1 and V{lambda}2 families in the productive repertoire can be attributed to the significantly higher frequency of a few genes (1C, 1G, 1B, 2A2, and 2B2). Underrepresentation of the V{lambda}3 family in the productive repertoire appears to result from the decreased frequency of rearrangements of all V{lambda}3 family genes, as documented in the analysis of the nonproductive repertoire. Of importance, three of the five genes overrepresented in the productive repertoire (2A2, 2B2, and 1G) were also overrepresented in the nonproductive repertoire, indicating that these genes were subjected to recombinational bias. As there was no significant differences in the frequency of these genes in the productive and nonproductive repertoires, it is therefore likely that their overrepresentation in the productive repertoire was not the result of selective influences dependent on expression of a protein product.

The prevalence of the V{lambda}1 and V{lambda}2 families in the productive repertoire found here is in general agreement with a previous report describing the V{lambda} distribution in a sampling of cDNA from B cells 10 . The overrepresentation of the V{lambda}1 and V{lambda}2 families in the previously reported data base was also explained by the overrepresentation of a few genes within those families, as was found here. Moreover, the 2A2 gene was found most often in the previously reported data base (~27% of all rearrangements) as well as in the productive repertoire reported here (17.4%). However, divergence between the two reports is evident beyond these observations. For example, three genes constitute nearly 60% of the previously reported data base (1E, 2A2, and 2C), whereas 60% of the productive repertoire reported here is represented by six genes (2A2, 3H, 2B2, 1C, 1G, and 1B). The only common frequent gene in both data bases is 2A2.

It is possible that the differences between the data bases are related to the sources of the sequences. The previous data base was generated from cDNA, and thus the repertoire could have been biased toward activated cells, which have greater amounts of mRNA than resting cells 26 . In addition, the cDNA analyzed in the previous report was cloned into a phage library, which could have introduced further biases. It is also possible that the differences between the two data bases can be attributed to different donor sources. In this regard, the V{lambda} family distributions of the four donors used to generate the previous data base were similar, as was the V{lambda} family distribution of the two donors described here. Hence, it is most likely that the divergence between the two data bases is attributable to the source of the sequences, which was cDNA in the previous report and genomic DNA in this report.

Comparison of the productive repertoire to the nonproductive repertoire allows for a determination of positive and negative selection. The V{lambda}4 family was not observed as frequently in the productive repertoire as it was in the nonproductive repertoire, and was thus likely to be negatively selected. One possible explanation is that V{lambda}4 family genes may have a greater propensity to generate autoantibodies and thus be deleted from the productive repertoire by either negative selection or receptor editing. The V{lambda}3 family is underrepresented in both the nonproductive and productive repertoires, and yet appears to be positively selected. This appears to be related to a combined effect of 3H and 3R, neither of which alone is significantly more frequent in the productive compared with the nonproductive repertoires, but together they are significantly overrepresented in the productive repertoire (p = 0.012) and sufficiently to cause the appearance of significant selection of the entire V{lambda}3 family. Explanation for the combined overrepresentation of 3R and 3H is not clear, but could relate to Ag-mediated selection.

Although several individual genes are overrepresented in the productive repertoire, positive selection of individual V{lambda} genes was not apparent in this V{lambda} distribution. This differs from both the VH and V{kappa} repertoires, in which individual V genes are positively selected 17, 21 or overrepresented in the productive repertoire and thus could be positively selected 27, 28, 29, 30 . This suggests that the composition of the CDR3s in V{lambda}J{lambda} rearrangements, as opposed to other aspects of the structure, may be of greater importance for positive selection of V{lambda} genes than in the VH and V{kappa} repertoires. In contrast, negative selection of individual V{kappa} genes was not observed 21 , whereas several V{lambda} genes were negatively selected (4C, 1G, 5B, and 4B). This may indicate that these particular V{lambda} genes have a propensity for autoreactivity and subsequent deletion independent of CDR3 composition. Alternatively, these V{lambda} genes may not pair well with heavy chains and thus not appear in the productive repertoire.

All four of the functional J{lambda} segments were found in the nonproductive and productive repertoires. Of note, J{lambda}7 was used most frequently in both repertoires (60.0% and 54.1%, respectively). The similarity in J{lambda}7 frequency in the nonproductive and productive repertoires suggests that neither selection nor receptor editing is playing a role in the overrepresentation of J{lambda}7 segments. The explanation for the overrepresentation of J{lambda}7 remains unclear. Extensive analysis of the C{lambda}/J{lambda} region has not indicated any inherent characteristics of the functional J{lambda} segments 31, 32, 33, 34 that would account for the overrepresentation of J{lambda}7 rearrangements in this analysis. In addition, both the RSS and spacers that can influence recombination 35 are highly conserved within the functional J{lambda} segments 14, 35 . Of note, J{lambda}7 appears to be preferentially rearranged with a number of the more frequently rearranged V{lambda} genes, such as 2B2, 1G, and 4B, although the explanation for this pairing is uncertain.

A previous report 10 indicated that the J{lambda}1, 2, and 3 segments were found comparably in the productive repertoire (27%, 38%, and 34%, respectively), whereas J{lambda}7 was employed less often (0.6%). However, the V{lambda} distribution in this previously published data base was heavily skewed to the rearrangement of five genes, 2A2, 2C, 1E, 1C, and 3H, none of which demonstrated biased rearrangement to J{lambda}7 in the current analysis. Moreover, 2B2, 1G, and 4B, which are frequently detected V{lambda} genes in the current report and recombine frequently with J{lambda}7, did not dominate the previously published database. Thus, it is possible that biased recombination with certain V{lambda} genes and individual variation in expression or detection of these V{lambda} genes contributed to the overrepresentation of J{lambda}7 in the current analysis.

The range of CDR3 lengths of the nonproductive and productive V{lambda}J{lambda} gene rearrangements was comparable and congregated around 30–33 bp, with a mean length of 30 bp. This contrasts with V{kappa}J{kappa} rearrangements, which exhibit a mean CDR3 length of 27 bp 21 . It is noteworthy that the CDR3 length of nonproductive V{lambda}J{lambda} rearrangements is maintained despite extensive modification of the joints by TdT and exonuclease activities, implying that the final assembly of the V{lambda} CDR3 is tightly regulated at a molecular level. However, CDR3 assembly of the V{lambda} CDR3 is somewhat less strictly regulated than that of V{kappa}J{kappa} rearrangements in that a few nonproductive V{lambda}J{lambda} rearrangements were found with longer CDR3 regions. However, these were largely eliminated from the productive repertoire. The net result of the molecular mechanisms and selection was a mean V{lambda} CDR3 that is 30 nucleotides in length with 75% of the rearrangements having a CDR3 length one or two amino acids longer than that of the V{kappa} rearrangements. Differences in the lengths of the V{kappa} and V{lambda} CDR3 regions imply that these light chains may contribute differently to Ag binding of Ab molecules 36 . The apparent greater importance of the CDR3 of V{lambda} chains to positive selection may be a reflection of the differential binding contribution of the V{lambda} CDR3 region.

At least one molecular determinant of the final CDR3 length of V{lambda} and V{kappa} rearrangements may relate to the potential contribution of the genetic segments of the respective genes to the CDR3. Before rearrangement, the potential V{kappa} contribution to the CDR3 is 21 nucleotides, whereas the potential V{lambda} contribution to the CDR3 is 24–27 nucleotides. Thus, the increase in length of the CDR3s of V{lambda}J{lambda} rearrangements could reflect the increased contribution of V{lambda} segments to the CDR3 region. Support for this possibility comes from an analysis of members of the V{lambda}4 family. 4C contributes 36 nucleotides to the CDR3, generating a mean CDR3 length of 44 nucleotides in nonproductive rearrangements and is negatively selected. In contrast, 4B contributes 21 nucleotides to the CDR3, generating a mean CDR3 length of 28 nucleotides. This gene is also negatively selected. Of the rearrangements containing 4B in the productive rearrangements, the mean CDR3 length is a V{kappa}-like 27.6 nucleotides. These results are consistent with the conclusion that the contribution of light chain genetic elements to the CDR3 region is one determinant of the final CDR3 length. Furthermore, marked deviations from a mean CDR3 length of 30 nucleotides appears to contribute to deletion of the rearrangement from the productive repertoire, perhaps because of defective pairing with heavy chains or ineffective positive selection.

Another contribution to the final CDR3 length of V{lambda}J{lambda} rearrangements appears to be limited 5'-exonuclease activity. In this regard, ~57% of the V{lambda}J{lambda} rearrangements in comparison to ~18% of the V{kappa}J{kappa} rearrangements lack evidence of 5'-exonuclease activity. The explanation for this is uncertain, but does not reflect a global diminution of exonuclease activity as nearly 75% of all nonproductive V{lambda}J{lambda} rearrangements manifest 3'-exonuclease activity. Regardless of the explanation, limited 5'-exonuclease activity could also contribute to the somewhat longer CDR3 regions characteristic of V{lambda}J{lambda} rearrangements.

TdT activity is considered an early B cell event, occurring routinely when the heavy chain locus is rearranging and decreasing with the onset of light chain rearrangement in mice 2 . As a result, n-insertions are rare in murine light chain rearrangements 37 . However, recent evidence in humans has shown that more than two-thirds of human V{kappa}J{kappa} rearrangements have n-insertions, albeit less extensively than VH rearrangements 17, 21 , implying that there is residual TdT activity during light chain rearrangements in humans. Therefore, comparison of TdT activity in V{kappa}J{kappa} and V{lambda}J{lambda} rearrangements might provide some insights into the relative timing of light chain recombination in humans. The data indicate that a comparable fraction of V{lambda}J{lambda} (78% of nonproductive and 71% of productive) and V{kappa}J{kappa} (69% of nonproductive and 58% of productive) rearrangements have n-insertions. These results reflect previous results 38 and imply that V{lambda}J{lambda} and V{kappa}J{kappa} rearrangements might occur contemporaneously in humans. This possibility is supported by recent findings in the mouse, suggesting that the {kappa} and {lambda} loci are targeted for rearrangement at the same time 39, 40 .

No compelling evidence of receptor editing of the {lambda} repertoire was noted when the distribution of the use of V{lambda} and J{lambda} segments was analyzed. However, B cells with two productive V{lambda} rearrangements were noted (7.6% with one productive {kappa} and one productive {lambda}, 3.2% with two productive {kappa}s, and 0.9% with two productive {lambda}s). It is unlikely that this is an artifact of cell sorting in which some wells received two cells because if that were the case, the most frequent occurrence would be two productive V{kappa}J{kappa} rearrangements. It is more likely that this represented a form of receptor editing in which the edited rearrangement remains in the cell but the final expressed Ig receptor employs the light chain encoded by the replacement light chain rearrangements 41 . If this interpretation is correct, this form of receptor editing appears to be reasonably frequent in the normal repertoire.

In summary, a variety of molecular and selective mechanisms appear to play a role in generating the human V{lambda} repertoire. The result is a repertoire dominated by a few V{lambda} genes and a stereotypical but unique CDR3 region.


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Table IX. Imprint of 3'-exonuclease activity on rearranged V{lambda}J{lambda} genes from individual IgM+ B cells

 

    Acknowledgments
 
We thank Jeff Scholes and Trisha Vaughn for excellent technical assistance. We also thank Dr. I. Tomlinson, Dr. F. Melchers, Dr. G. Silverman, H. P. Brezinschek, and S. J. Foster for helpful discussions.


    Footnotes
 
1 This work was supported by National Institutes of Health Grant AI 31229. T.D. is a recipient of a Deutsche Forschungsgemeinschaft Grant (Do 491/2-1, Do 491/4-1, 4-2). Back

2 Address correspondence and reprint requests to Dr. Peter E. Lipsky, Department of Internal Medicine, Harold C. Simmons Arthritis Research Center, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75235-8884. E-mail address: Back

3 Abbreviations used in this paper: bp, base pairs; TdT, terminal deoxynucleotidyltransferase; RSS, recombination signal sequence. Back

Received for publication August 14, 1998. Accepted for publication November 4, 1998.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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Y.-H. Wang, Z. Zhang, P. D. Burrows, H. Kubagawa, S. L. Bridges Jr, H. W. Findley, and M. D. Cooper
V(D)J recombinatorial repertoire diversification during intraclonal pro-B to B-cell differentiation
Blood, February 1, 2003; 101(3): 1030 - 1037.
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LupusHome page
A Rahman, I Giles, J Haley, and D Isenberg
Systematic analysis of sequences of anti-DNA antibodies--relevance to theories of origin and pathogenicity
Lupus, December 1, 2002; 11(12): 807 - 823.
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J. Immunol.Home page
S. Yavuz, A. S. Yavuz, K. H. Kraemer, and P. E. Lipsky
The Role of Polymerase {eta} in Somatic Hypermutation Determined by Analysis of Mutations in a Patient with Xeroderma Pigmentosum Variant
J. Immunol., October 1, 2002; 169(7): 3825 - 3830.
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S. Golby, M. Hackett, L. Boursier, D. Dunn-Walters, S. Thiagamoorthy, and J. Spencer
B cell development and proliferation of mature B cells in human fetal intestine
J. Leukoc. Biol., August 1, 2002; 72(2): 279 - 284.
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BloodHome page
V. Perfetti, S. Casarini, G. Palladini, M. C. Vignarelli, C. Klersy, M. Diegoli, E. Ascari, and G. Merlini
Analysis of Vlambda -Jlambda expression in plasma cells from primary (AL) amyloidosis and normal bone marrow identifies 3r (lambda III) as a new amyloid-associated germline gene segment
Blood, July 18, 2002; 100(3): 948 - 953.
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M. van der Burg, B. H. Barendregt, E. J. van Gastel-Mol, T. Tumkaya, A. W. Langerak, and J. J. M. van Dongen
Unraveling of the Polymorphic C{lambda}2-C{lambda}3 Amplification and the Ke+Oz- Polymorphism in the Human Ig{lambda} Locus
J. Immunol., July 1, 2002; 169(1): 271 - 276.
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Y.-H. Wang, R. P. Stephan, A. Scheffold, D. Kunkel, H. Karasuyama, A. Radbruch, and M. D. Cooper
Differential surrogate light chain expression governs B-cell differentiation
Blood, April 1, 2002; 99(7): 2459 - 2467.
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P. Goebel, N. Janney, J. R. Valenzuela, W. J. Romanow, C. Murre, and A. J. Feeney
Localized Gene-Specific Induction of Accessibility to V(D)j Recombination Induced by E2a and Early B Cell Factor in Nonlymphoid Cells
J. Exp. Med., September 3, 2001; 194(5): 645 - 656.
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E. Meffre, N. Catalan, F. Seltz, A. Fischer, M. C. Nussenzweig, and A. Durandy
Somatic Hypermutation Shapes the Antibody Repertoire of Memory B Cells in Humans
J. Exp. Med., August 6, 2001; 194(3): 375 - 378.
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R. L. Comenzo, Y. Zhang, C. Martinez, K. Osman, and G. A. Herrera
The tropism of organ involvement in primary systemic amyloidosis: contributions of Ig VL germ line gene use and clonal plasma cell burden
Blood, August 1, 2001; 98(3): 714 - 720.
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N. L. Monson, T. J. Fenske, S. Wei, A. J. Okragly, J. L.O. de Jong, M. Haak-Frendscho, J. O’Shea, J. Djeu, and P. M. Sondel
A p74 common gamma receptor chain isoform facilitates IL-2 and IL-15 responses by the myelomonocytic cell line Tf-1{beta}2
J. Leukoc. Biol., March 1, 2001; 69(3): 419 - 425.
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J. Lee, N. L. Monson, and P. E. Lipsky
The V{lambda}J{lambda} Repertoire in Human Fetal Spleen: Evidence for Positive Selection and Extensive Receptor Editing
J. Immunol., December 1, 2000; 165(11): 6322 - 6333.
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T. Dorner, N. L. Farner, and P. E. Lipsky
Ig {lambda} and Heavy Chain Gene Usage in Early Untreated Systemic Lupus Erythematosus Suggests Intensive B Cell Stimulation
J. Immunol., July 15, 1999; 163(2): 1027 - 1036.
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