Analyze Diet
Journal of animal science2026; 104; skag001; doi: 10.1093/jas/skag001

Comparative analysis of the organization and complexity of immunoglobulin light chain loci in equids.

Abstract: This study investigated three donkey breeds-Guanzhong, Jiami, and Northern Shaanxi-to characterize the structural organization and diversification mechanisms of the immunoglobulin light-chain (IgL) loci and to conduct both intra-breed and interspecies comparisons with horses. The donkey IGλ locus is located on chromosome 8 and arranged in a Vλ-(Jλ-Cλ)-Vλ configuration. It contains 7 Cλ genes, each preceded by a corresponding Jλ gene to form a Jλ-Cλ cluster. Upstream of this cluster, 156 Vλ genes were identified, including 29 potential functional genes; downstream, 98 Vλ genes were detected, of which 22 were potentially functional. The IGκ locus resides on chromosome 6 and exhibits a Vκ-Jκ-Cκ structure, comprising one Cκ gene, 5 Jκ genes, and 72 Vκ segments, including 22 potential functional Vκ genes. Expression profiling revealed clear light-chain usage preferences in donkeys. For the λ-chain, Vλ72, Vλ135, Vλ150, Vλ190, and Vλ196-mainly belonging to the IGLV1 and IGLV3 subgroups-were preferentially utilized. For the κ-chain, Vκ67 and Vκ71 were dominantly expressed, highlighting the prominent role of the IGκV4 subgroup. Horses showed a similar pattern, with strong biases toward the IGLV1, IGLV3, and IGκV4 subgroups. Although breed-specific differences were observed in certain IGL expression profiles (e.g. V-J combinations), these variations were largely restricted to the λ-chain and involved low-frequency genes. Thus, highly utilized genes and subgroups exhibit high conservation among donkey breeds. This study is the first to comprehensively elucidate the structure and expression preferences of the donkey IgL locus, laying a solid foundation for the development of donkey-derived antibody resources. This study compares the structural features of immunoglobulin (Ig) light chain loci and the mechanisms of Ig gene diversification in three Chinese donkey breeds (Guanzhong, Jiami, and Northern Shaanxi) and two horse breeds (Guanzhong and Ningqiang). Comparative analyses among donkey breeds and with horse breeds revealed similarities in Ig gene expression. As a smaller-sized animal with strong immunity and lower breeding costs than horses, donkeys are ideal candidates for antibody production. The outcomes of this study provide a strong justification for developing donkey-derived specific antibodies.
Publication Date: 2026-01-09 PubMed ID: 41512306PubMed Central: PMC12906693DOI: 10.1093/jas/skag001Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Comparative Study

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

Overview

  • This research analyzed the genetic organization and expression of immunoglobulin light chain (IgL) genes in three donkey breeds and compared these features to horses.
  • The study aimed to understand the diversity and evolution of IgL loci to support the use of donkeys in antibody production.

Background and Objective

  • Immunoglobulins (antibodies) are critical components of the immune system, composed of heavy and light chains; light chains contribute to the antigen-binding diversity.
  • There are two light chain types: lambda (λ) and kappa (κ), encoded by separate loci (IGλ and IGκ respectively) on specific chromosomes.
  • The genetic organization, diversity, and expression patterns of these loci influence antibody variability and functionality.
  • The study focused on three Chinese donkey breeds – Guanzhong, Jiami, and Northern Shaanxi – to characterize their IgL loci structure and expression.
  • A comparison was made with two horse breeds to understand interspecies differences, since horses are a related species with well-studied immunoglobulin genetics.
  • The ultimate aim was to evaluate donkeys as a potential source of specific antibodies due to their desirable traits (smaller size, strong immunity, lower breeding cost).

Methods

  • Genomic analysis was conducted to identify and map the IgL gene segments in donkey chromosomes:
    • IGλ locus was located on chromosome 8.
    • IGκ locus was located on chromosome 6.
  • Gene segments were characterized in terms of variable (V), joining (J), and constant (C) regions:
    • For IGλ: arrangement followed a Vλ-(Jλ-Cλ)-Vλ pattern, with multiple clusters and gene segments.
    • For IGκ: a typical Vκ-Jκ-Cκ structure was observed.
  • Expression profiling was performed to measure which V genes were preferentially used in immunoglobulin light chain transcripts.
  • Comparative analysis examined differences within donkey breeds (intra-breed) and between donkeys and horses (interspecies).

Key Findings

  • IGλ Locus Organization in Donkeys:
    • Found 7 Cλ genes, each paired with a Jλ gene, forming Jλ-Cλ clusters.
    • 156 Vλ genes identified upstream (29 likely functional).
    • 98 Vλ genes downstream (22 likely functional).
  • IGκ Locus Organization in Donkeys:
    • One Cκ gene and 5 Jκ genes present.
    • 72 Vκ segments identified, with 22 potentially functional.
  • Light Chain Expression Preferences:
    • For λ-chain, five Vλ genes (Vλ72, Vλ135, Vλ150, Vλ190, Vλ196) were predominantly used.
    • These mainly belonged to IGLV1 and IGLV3 subgroups.
    • For κ-chain, dominant Vκ genes were Vκ67 and Vκ71, highlighting IGκV4 subgroup importance.
    • Similar expression biases were found in horses, particularly favoring IGLV1, IGLV3, and IGκV4 subgroups.
  • Diversity and Conservation:
    • Breed-specific variations existed mostly in λ-chain gene usage and involved rarely expressed genes.
    • Highly utilized genes and subgroups showed strong conservation across donkey breeds.

Significance and Implications

  • This study is the first to comprehensively define the IgL locus structure and expression patterns in donkeys.
  • The detailed genetic mapping and expression data help us understand antibody diversity and evolution in equids.
  • Since donkeys share many immunoglobulin features with horses but have advantages such as smaller size, robust immunity, and lower cost, they are promising candidates for antibody production.
  • Findings support the development of donkey-derived specific antibodies, which could be valuable for research, diagnostics, or therapeutics.
  • Understanding gene conservation and variation aids future breeding or genetic engineering efforts to optimize antibody responses.

Comparative Insights

  • The study clarified that both donkeys and horses use similar IgL gene subgroups preferentially, hinting at evolutionary conserved immune mechanisms within the equid family.
  • Minor inter-breed differences suggest some genetic variability but do not affect the major functional antibody repertoires.
  • These results provide a genetic basis for selecting specific breeds for antibody production based on their IgL gene profiles.

Conclusion

  • This comparative genomic and expression analysis enhances understanding of equid immunoglobulin genetics.
  • The donkey IgL loci are structurally complex but show conserved patterns of gene usage.
  • Donkeys represent viable and potentially superior antibody production platforms compared to horses due to their genetic and physiological traits.
  • The research lays foundational knowledge essential for harnessing donkey immunoglobulins in biomedical applications.

Cite This Article

APA
Qiu Y, Lei Y, Yi X, Tang X, Zhang B, Wang S, Sun X. (2026). Comparative analysis of the organization and complexity of immunoglobulin light chain loci in equids. J Anim Sci, 104, skag001. https://doi.org/10.1093/jas/skag001

Publication

ISSN: 1525-3163
NlmUniqueID: 8003002
Country: United States
Language: English
Volume: 104
PII: skag001

Researcher Affiliations

Qiu, Yanbo
  • College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Lei, Yichen
  • College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Yi, Xiaohua
  • College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Tang, Xiaoqin
  • College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Zhang, Beibei
  • College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Wang, Shuhui
  • College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Sun, Xiuzhu
  • College of Grassland Agriculture, Northwest A&F University, Yangling, Shaanxi, 712100, China.

MeSH Terms

  • Animals
  • Equidae / genetics
  • Equidae / immunology
  • Immunoglobulin Light Chains / genetics
  • Immunoglobulin Light Chains / metabolism
  • Horses / genetics
  • Species Specificity

References

This article includes 58 references
  1. Almagro JC, Hernández I, Ramírez MC, Vargas-Madrazo E. Structural differences between the repertoires of mouse and human germline genes and their evolutionary implications.. Immunogenetics 47(5):355–363.
    pubmed: 9510553
  2. Alt F, Rosenberg N, Lewis S, Thomas E, Baltimore D. Organization and reorganization of immunoglobulin genes in A-MULV-transformed cells: rearrangement of heavy but not light chain genes.. Cell 27(2 Pt 1):381–390.
    pubmed: 6277505
  3. Arras P, Zimmermann J, Lipinski B, Yanakieva D, Klewinghaus D, Krah S, Kolmar H, Pekar L, Zielonka S. Isolation of antigen-specific unconventional bovine Ultra-Long CDR3H antibodies using cattle immunization in combination with yeast surface display.. Methods In Molecular Biology p. 113–129.
    pubmed: 37405646doi: 10.1007/978-1-0716-3279-6_8google scholar: lookup
  4. Arun SS, Breuer W, Hermanns W. Immunohistochemical examination of light-chain expression (lambda/kappa ratio) in canine, feline, equine, bovine and porcine plasma cells.. Zentralbl. Veterinarmed. A 43(9):573–576.
    pubmed: 8968166
  5. Butler JE, Sun J, Wertz N, Sinkora M. Antibody repertoire development in swine.. Dev. Comp. Immunol. 30(1–2):199–221.
    pubmed: 16168480
  6. Butler JE, Wertz N, Sun J, Wang H, Lemke C, Chardon P, Piumi F, Wells K. The pre-immune variable kappa repertoire of swine is selectively generated from certain subfamilies of Vkappa2 and one jkappa gene.. Vet. Immunol. Immunopathol. 108(1–2):127–137.
    pubmed: 16112743
  7. Chi X, Li Y, Qiu X. V(D)J recombination, somatic hypermutation and class switch recombination of immunoglobulins: mechanism and regulation.. Immunology 160(3):233–247.
    doi: 10.1111/imm.13176pmc: PMC7341547pubmed: 32031242google scholar: lookup
  8. Davis MM, Bjorkman PJ. T-cell antigen receptor genes and T-cell recognition.. Nature 334(6181):395–402.
    pubmed: 3043226
  9. Durandy A, Kracker S. Immunoglobulin class-switch recombination deficiencies.. Arthritis Res. Ther. 14(4):218.
    doi: 10.1186/ar3904pmc: PMC3580555pubmed: 22894609google scholar: lookup
  10. Gilfillan S, Dierich A, Lemeur M, Benoist C, Mathis D. Mice lacking TdT: mature animals with an immature lymphocyte repertoire.. Science 261(5125):1175–1178.
    pubmed: 8356452
  11. Guan X, Wang J, Ma L, Wang X, Cheng X, Han H, Zhao Y, Ren L. Multiple germline functional VL genes contribute to the IgL repertoire in ducks.. Dev. Comp. Immunol. 60:167–179.
    doi: 10.1016/j.dci.2016.02.029pubmed: 26945621google scholar: lookup
  12. Haines A, Goliszek J. Donkey and mule behaviour for the veterinary team.. UK-Vet Equine 3(1):27–32.
  13. Hieter PA, Korsmeyer SJ, Waldmann TA, Leder P. Human immunoglobulin kappa light-chain genes are deleted or rearranged in lambda-producing B cells.. Nature 290(5805):368–372.
    pubmed: 6783958
  14. Ijspeert H, Rozmus J, Schwarz K, Warren RL, van Zessen D, Holt RA, Pico-Knijnenburg I, Simons E, Jerchel I, Wawer A. XLF deficiency results in reduced N-nucleotide addition during V(D)J recombination.. Blood 128(5):650–659.
  15. Jackson KJL, Gaeta B, Sewell W, Collins AM. Exonuclease activity and P nucleotide addition in the generation of the expressed immunoglobulin repertoire.. BMC Immunol. 5:19.
    pmc: PMC517710pubmed: 15345030
  16. Keller I, Bensasson D, Nichols RA. Transition-transversion bias is not universal: a counter example from grasshopper pseudogenes. PLoS Genet 3(2):e22.
    pmc: PMC1790724pubmed: 17274688
  17. Knott J, Bona C, Kaushik A. The primary antibody repertoire of kappa-deficient mice is characterized by non-stochastic Vlamda1 + V(H) gene family pairings and a higher degree of self-reactivity. Scand J Immunol 48(1):65–72.
    pubmed: 9714412
  18. Komori T, Okada A, Stewart V, Alt FW. Lack of N regions in antigen receptor variable region genes of TdT-deficient lymphocytes. Science 261(5125):1171–1175.
    pubmed: 8356451
  19. Komori T, Pricop L, Hatakeyama A, Bona CA, Alt FW. Repertoires of antigen receptors in Tdt congenitally deficient mice. Int. Rev. Immunol. 13(4):317–325.
    pubmed: 8884428
  20. Lefranc MP, Lefranc G. Immunoglobulins or antibodies: IMGT bridging genes, structures and functions. Biomedicines 8(9): 319.
    doi: 10.3390/biomedicines8090319pmc: PMC7555362pubmed: 32878258google scholar: lookup
  21. Lefranc MP. IMGT (ImMunoGeneTics) locus on focus. A new section of experimental and clinical immunogenetics. Exp. Clin. Immunogenet. 15(1):1–7.
    pubmed: 9619395
  22. Li R, Fu F, Feng L, Liu P. Next-generation sequencing and single-cell RT-PCR reveal a distinct variable gene usage of porcine antibody repertoire following PEDV vaccination. Sci. China. Life Sci. 63(8):1240–1250.
    doi: 10.1007/s11427-019-9576-2pmc: PMC7088813pubmed: 31321668google scholar: lookup
  23. Li T-T, Xia T, Wu J-Q, Hong H, Sun Z-L, Wang M, Ding F-R, Wang J, Jiang S, Li J. De novo genome assembly depicts the immune genomic characteristics of cattle. Nat. Commun. 14(1):6601.
    doi: 10.1038/s41467-023-42161-1pmc: PMC10587341pubmed: 37857610google scholar: lookup
  24. Liu X, Liu Y, Jin X, He Z, Huang Z, Sun S, Gao Y, Li J, Ning Q, Xie Z. Rapidly developable therapeutic-grade equine immunoglobulin against the SARS-CoV-2 infection in rhesus macaques. Signal Transduct. Target. Ther. 7(1):219.
    doi: 10.1038/s41392-022-01095-8pmc: PMC9261890pubmed: 35798694google scholar: lookup
  25. Papavasiliou FN, Schatz DG. Somatic hypermutation of immunoglobulin genes: merging mechanisms for genetic diversity. Cell 109 Suppl: S35–S44.
    pubmed: 11983151
  26. Park M, de Villavicencio Diaz TN, Lange V, Wu L, Le Bihan T, Ma B. Exploring the sheep (Ovis aries) immunoglobulin repertoire by next generation sequencing. Mol. Immunol. 156:20–30.
    doi: 10.1016/j.molimm.2023.02.008pubmed: 36867981google scholar: lookup
  27. Qiu Y, Jiang J, Yi X, Wang S, Sun X. Exploration of the differential expression patterns of immunoglobulin heavy chain genes in horses and donkeys. Dev. Comp. Immunol. 166:105360.
    doi: 10.1016/j.dci.2025.105360pubmed: 40112937google scholar: lookup
  28. Qiu Y, Yi X, Tang X, Wei Y, Zhang B, Duan S, Wang S, Sun X. Differential analysis of immunoglobulin gene expression pattern in chickens of distinct breeds and developmental periods. J. Anim. Sci. 102:skae111.
    doi: 10.1093/jas/skae111pmc: PMC11107122pubmed: 38651250google scholar: lookup
  29. Ramsden DA, Wu GE. Mouse kappa light-chain recombination signal sequences mediate recombination more frequently than do those of lambda light chain. Proc. Natl. Acad. Sci. U S A 88(23):10721–10725.
    pmc: PMC53002pubmed: 1961738
  30. Rock EP, Sibbald PR, Davis MM, Chien YH. CDR3 length in antigen-specific immune receptors. J. Exp. Med. 179(1):323–328.
    pmc: PMC2191339pubmed: 8270877
  31. Rosenfeld R, Alcalay R, Zvi A, Ben-David A, Noy-Porat T, Chitlaru T, Epstein E, Israeli O, Lazar S, Caspi N. Centaur antibodies: Engineered chimeric equine-human recombinant antibodies. Front. Immunol. 13:942317.
    doi: 10.3389/fimmu.2022.942317pmc: PMC9437483pubmed: 36059507google scholar: lookup
  32. Ruschig M, Nerlich J, Becker M, Meier D, Polten S, Cervantes-Luevano K, Kuhn P, Licea-Navarro AF, Hallermann S, Dübel S. Human antibodies neutralizing the alpha-latrotoxin of the European black widow. Front. Immunol. 15:1407398.
    doi: 10.3389/fimmu.2024.1407398pmc: PMC11199383pubmed: 38933276google scholar: lookup
  33. Sandor Z, Calicchio ML, Sargent RG, Roth DB, Wilson JH. Distinct requirements for Ku in N nucleotide addition at V (D) J‐and non‐V (D) J‐generated double‐strand breaks. Nucleic Acids Res. 32(6):1866–1873.
    pmc: PMC390357pubmed: 15047854
  34. Schatz DG, Swanson PC. V(D)J recombination: mechanisms of initiation. Annu. Rev. Genet. 45:167–202.
  35. Schwartz JC, Lefranc MP, Murtaugh MP. Organization, complexity and allelic diversity of the porcine (Sus scrofa domestica) immunoglobulin lambda locus. Immunogenetics 64(5):399–407.
    doi: 10.1007/s00251-011-0594-9pmc: PMC4382588pubmed: 22186825google scholar: lookup
  36. Shinkura R, Ito S, Begum NA, Nagaoka H, Muramatsu M, Kinoshita K, Sakakibara Y, Hijikata H, Honjo T. Separate domains of AID are required for somatic hypermutation and class-switch recombination. Nat. Immunol. 5(7):707–712.
    pubmed: 15195091
  37. Sinkora M, Stepanova K, Butler JE, Sinkora M, Sinkora S, Sinkorova J. Comparative aspects of immunoglobulin gene rearrangement arrays in different species. Front. Immunol. 13:823145.
    doi: 10.3389/fimmu.2022.823145pmc: PMC8873125pubmed: 35222402google scholar: lookup
  38. Sinkora M, Stepanova K, Sinkorova J. Immunoglobulin light chain κ precedes λ rearrangement in swine but a majority of λ+ B cells are generated earlier. Dev. Comp. Immunol. 111:103751.
    doi: 10.1016/j.dci.2020.103751pubmed: 32454063google scholar: lookup
  39. Siskind GW, Benacerraf B. Cell selection by antigen in the immune response. Adv. Immunol. 10:1–50.
    pubmed: 4900673
  40. Steiniger SCJ, Dunkle WE, Bammert GF, Wilson TL, Krishnan A, Dunham SA, Ippolito GC, Bainbridge G. Fundamental characteristics of the expressed immunoglobulin VH and VL repertoire in different canine breeds in comparison with those of humans and mice. Mol. Immunol. 59(1):71–78.
    doi: 10.1016/j.molimm.2014.01.010pubmed: 24509215google scholar: lookup
  41. Stoltzfus A, Norris RW. On the causes of evolutionary transition: Transversion bias. Mol. Biol. Evol. 33(3):595–602.
    doi: 10.1093/molbev/msv274pmc: PMC7107541pubmed: 26609078google scholar: lookup
  42. Sun Y, Wang C, Wang Y, Zhang T, Ren L, Hu X, Zhang R, Meng Q, Guo Y, Fei J. A comprehensive analysis of germline and expressed immunoglobulin repertoire in the horse. Dev. Comp. Immunol. 34(9):1009–1020.
    doi: 10.1016/j.dci.2010.05.003pubmed: 20466019google scholar: lookup
  43. Tallmadge RL, Tseng CT, Felippe MJB. Diversity of immunoglobulin lambda light chain gene usage over developmental stages in the horse. Dev. Comp. Immunol. 46(2):171–179.
    doi: 10.1016/j.dci.2014.04.001pmc: PMC4107094pubmed: 24726757google scholar: lookup
  44. Thomson CA, Bryson S, McLean GR, Creagh AL, Pai EF, Schrader JW. Germline V-genes sculpt the binding site of a family of antibodies neutralizing human cytomegalovirus. Embo J. 27(19):2592–2602.
    doi: 10.1038/emboj.2008.179pmc: PMC2567409pubmed: 18772881google scholar: lookup
  45. Tonegawa S. Somatic generation of antibody diversity. Nature 302(5909):575–581.
    pubmed: 6300689
  46. Wagner B. Immunoglobulins and immunoglobulin genes of the horse. Dev. Comp. Immunol. 30(1–2):155–164.
    pubmed: 16046236
  47. Walther S, Rusitzka TV, Diesterbeck US, Czerny CP. Equine immunoglobulins and organization of immunoglobulin genes. Dev. Comp. Immunol. 53(2):303–319.
    doi: 10.1016/j.dci.2015.07.017pubmed: 26219564google scholar: lookup
  48. Wang F, Ekiert DC, Ahmad I, Yu W, Zhang Y, Bazirgan O, Torkamani A, Raudsepp T, Mwangi W, Criscitiello MF. Reshaping antibody diversity. Cell 153(6):1379–1393.
    doi: 10.1016/j.cell.2013.04.049pmc: PMC4007204pubmed: 23746848google scholar: lookup
  49. Watson CT, Glanville J, Marasco WA. The individual and population genetics of antibody immunity. Trends Immunol. 38(7):459–470.
    doi: 10.1016/j.it.2017.04.003pmc: PMC5656258pubmed: 28539189google scholar: lookup
  50. Watson CT, Steinberg KM, Huddleston J, Warren RL, Malig M, Schein J, Willsey AJ, Joy JB, Scott JK, Graves TA. Complete haplotype sequence of the human immunoglobulin heavy-chain variable, diversity, and joining genes and characterization of allelic and copy-number variation. Am. J. Hum. Genet. 92(4):530–546.
    doi: 10.1016/j.ajhg.2013.03.004pmc: PMC3617388pubmed: 23541343google scholar: lookup
  51. Wertz N, Vazquez J, Wells K, Sun J, Butler JE. Antibody repertoire development in fetal and neonatal piglets. XII. Three IGLV genes comprise 70% of the pre-immune repertoire and there is little junctional diversity. Mol. Immunol. 55(3–4):319–328.
    doi: 10.1016/j.molimm.2013.03.012pubmed: 23570908google scholar: lookup
  52. Wibmer CK, Mashilo P. Exploiting V-Gene bias for rapid, high-throughput monoclonal antibody isolation from horses. Viruses 14(10):2172.
    doi: 10.3390/v14102172pmc: PMC9609571pubmed: 36298728google scholar: lookup
  53. Wu M. Analysis and comparison of the structural and expression diversity of immunoglobulin genes in Bovinae subfamily domestic animals, Ph.D. dissertation. .
  54. Wu M, Zhao H, Tang X, Zhao W, Yi X, Li Q, Sun X. Organization and complexity of the yak (Bos grunniens) immunoglobulin loci. Front. Immunol. 13:876509.
    doi: 10.3389/fimmu.2022.876509pmc: PMC9124968pubmed: 35615368google scholar: lookup
  55. Xu Z, Zan H, Pone EJ, Mai T, Casali P. Immunoglobulin class-switch DNA recombination: induction, targeting and beyond. Nat. Rev. Immunol. 12(7):517–531.
    doi: 10.1038/nri3216pmc: PMC3545482pubmed: 22728528google scholar: lookup
  56. Yi X, Qiu Y, Wang S, Sun X. Analysis of immunoglobulin organization and complexity in mink (neovison vison). Dev. Comp. Immunol. 160:105234.
    doi: 10.1016/j.dci.2024.105234pubmed: 39069110google scholar: lookup
  57. Zhang H, Liu Y, Yu B, Lu R. An optimized TRIzol-based method for isolating RNA from adipose tissue. Biotechniques 74(5):203–209.
    doi: 10.2144/btn-2022-0120pubmed: 37232298google scholar: lookup
  58. Zhang Y, Cado D, Asarnow DM, Komori T, Alt FW, Raulet DH, Allison JP. The role of short homology repeats and TdT in generation of the invariant gamma Delta antigen receptor repertoire in the fetal thymus. Immunity 3(4):439–447.
    pubmed: 7584135

Citations

This article has been cited 0 times.