Michael Morgan

Research output

Research output per year 2010 2018 2021 2022 2023

• 19 Article
• 1 Other contribution
• 1 Preprint

Research output per year

Research output per year

Search results

• 2023

  Origin and segregation of the human germline

  Castillo-Venzor, A., Penfold, C. A., Morgan, M. D., Tang, W. WC., Kobayashi, T., Wong, F. CK., Bergmann, S., Slatery, E., Boroviak, T. E., Marioni, J. C. & Surani, M. A., 1 Aug 2023, In: Life Science Alliance. 6, 8, e202201706 .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Germ Cells 100%
  • Germ Layers 42%
  • Amnion 41%
  • Embryonic Structures 27%
  • Callithrix 22%
  6 Citations (Scopus)

  2 Downloads (Pure)
• 2022

  Sequential enhancer state remodelling defines human germline competence and specification

  Tang, W. W. C., Castillo-Venzor, A., Gruhn, W. H., Kobayashi, T., Penfold, C. A., Morgan, M. D., Sun, D., Irie, N. & Surani, M. A., 11 Apr 2022, In: Nature Cell Biology. 24, 4, p. 448-460 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Germ Cells 100%
  • Mental Competency 97%
  • Transcription Factors 50%
  • Gastrulation 43%
  • Endoderm 42%
  22 Citations (Scopus)

  4 Downloads (Pure)

• Coagulation factor V is a T-cell inhibitor expressed by leukocytes in COVID-19

  Cambridge Institute of Therapeutic Immunology and Infectious Disease-National Institute of Health Research (CITIID-NIHR) Covid BioResource Collaboration, 18 Mar 2022, In: iScience. 25, 3, p. 103971

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Factor V 100%
  • Leukocytes 61%
  • T-Lymphocytes 48%
  • Factor Va 44%
  • Thrombin 19%
  5 Citations (Scopus)

  11 Downloads (Pure)

• The impact of hypoxia on B cells in COVID-19

  Kotagiri, P., Mescia, F., Hanson, A. L., Turner, L., Bergamaschi, L., Peñalver, A., Richoz, N., Moore, S. D., Ortmann, B. M., Dunmore, B. J., Morgan, M. D., Tuong, Z. K., Göttgens, B., Toshner, M., Hess, C., Maxwell, P. H., Clatworthy, M. R., Nathan, J. A., Bradley, J. R., Lyons, P. A., & 3 othersBurrows, N., Smith, K. G. C. & Cambridge Institute of Therapeutic Immunology and Infectious Disease-National Institute of Health Research (CITIID-NIHR) Covid BioResource Collaboration, 1 Mar 2022, In: EBioMedicine. 77, 103878.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • RNA Sequencing 100%
  • Hypoxia 47%
  • B-Lymphocytes 46%
  • Dioxygen 29%
  • Reduction 27%
  14 Citations (Scopus)

  3 Downloads (Pure)

• Differential abundance testing on single-cell data using k-nearest neighbor graphs

  Dann, E., Henderson, N. C., Teichmann, S. A., Morgan, M. D. & Marioni, J. C., Feb 2022, In: Nature Biotechnology. 40, 2, p. 245-253 9 p.

  Research output: Contribution to journal › Article › peer-review

  • RNA Sequencing 100%
  • RNA 72%
  • Molecular Cluster 58%
  • Thymus 57%
  • Testing 46%
  150 Citations (Scopus)
• 2021

  Cells of the human intestinal tract mapped across space and time

  Elmentaite, R., Kumasaka, N., Roberts, K., Fleming, A., Dann, E., King, H. W., Kleshchevnikov, V., Dabrowska, M., Pritchard, S., Bolt, L., Vieira, S. F., Mamanova, L., Huang, N., Perrone, F., Goh Kai'En, I., Lisgo, S. N., Katan, M., Leonard, S., Oliver, T. R. W., Hook, C. E., & 23 othersNayak, K., Campos, L. S., Domínguez Conde, C., Stephenson, E., Engelbert, J., Botting, R. A., Polanski, K., van Dongen, S., Patel, M., Morgan, M. D., Marioni, J. C., Bayraktar, O. A., Meyer, K. B., He, X., Barker, R. A., Uhlig, H. H., Mahbubani, K. T., Saeb-Parsy, K., Zilbauer, M., Clatworthy, M. R., Haniffa, M., James, K. R. & Teichmann, S. A., 8 Sept 2021, In: Nature. 597, 7875, p. 250-255 6 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Enteric Nervous System 100%
  • Hirschsprung Disease 97%
  • Catalogs 93%
  • Antigen Receptors 93%
  • Systems Analysis 85%
  196 Citations (Scopus)

  5 Downloads (Pure)

• Longitudinal analysis reveals that delayed bystander CD8+ T cell activation and early immune pathology distinguish severe COVID-19 from mild disease

  Bergamaschi, L., Mescia, F., Turner, L., Hanson, A. L., Kotagiri, P., Dunmore, B. J., Ruffieux, H., Sa, A. D., Huhn, O., Morgan, M. D., Gerber, P. P., Wills, M. R., Baker, S., Calero-Nieto, F. J., Doffinger, R., Dougan, G., Elmer, A., Goodfellow, I. G., Gupta, R. K., Hosmillo, M., & 18 othersHunter, K., Kingston, N., Lehner, P. J., Matheson, N. J., Nicholson, J. K., Petrunkina, A. M., Richardson, S., Saunders, C., Thaventhiran, J. E. D., Toonen, E. J. M., Weekes, M. P., Göttgens, B., Toshner, M., Hess, C., Bradley, J. R., Lyons, P. A., Smith, K. G. C. & Cambridge Institute of Therapeutic Immunology and Infectious Disease-National Institute of Health Research (CITIID-NIHR) Covid BioResource Collaboration, 8 Jun 2021, In: Immunity. 54, 6, p. 1257-1275.e8 28 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • RNA Sequencing 100%
  • Pathology 38%
  • Asymptomatic Diseases 19%
  • Immunophenotyping 19%
  • Cytokines 18%
  178 Citations (Scopus)

  5 Downloads (Pure)

• Single-cell multi-omics analysis of the immune response in COVID-19

  Stephenson, E., Reynolds, G., Botting, R. A., Calero-Nieto, F. J., Morgan, M. D., Tuong, Z. K., Bach, K., Sungnak, W., Worlock, K. B., Yoshida, M., Kumasaka, N., Kania, K., Engelbert, J., Olabi, B., Spegarova, J. S., Mende, N., Jardine, L., Gardner, L. C. S., Goh, I., Horsfall, D., & 47 othersMcGrath, J., Webb, S., Mather, M. W., Lindeboom, R. G. H., Dann, E., Huang, N., Polanski, K., Prigmore, E., Gothe, F., Scott, J., Payne, R. P., Baker, K. F., Hanrath, A. T., Loeff, I. C. D. S. V. D., Barr, A. S., Sanchez-Gonzalez, A., Bergamaschi, L., Mescia, F., Barnes, J. L., Kilich, E., Wilton, A. D., Saigal, A., Saleh, A., Janes, S. M., Smith, C. M., Gopee, N., Wilson, C., Coupland, P., Coxhead, J. M., Kiselev, V. Y., Dongen, S. V., Bacardit, J., King, H. W., Rostron, A. J., Simpson, A. J., Hambleton, S., Laurenti, E., Lyons, P. A., Meyer, K. B., Nikolić, M. Z., Duncan, C. J. A., Smith, K. G. C., Teichmann, S. A., Clatworthy, M. R., Marioni, J. C., Göttgens, B. & Haniffa, M., 20 Apr 2021, In: Nature Medicine. 27, p. 904-916 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Coronavirus 100%
  • Effector 86%
  • Antigen 33%
  • T-Lymphocytes 28%
  • Plasma 24%
  322 Citations (Scopus)

  2 Downloads (Pure)
• 2020

  Ageing compromises mouse thymus function and remodels epithelial cell differentiation

  Baran-Gale, J., Morgan, M. D., Maio, S., Dhalla, F., Calvo-Asensio, I., Deadman, M. E., Handel, A. E., Maynard, A., Chen, S., Green, F., Sit, R. V., Neff, N. F., Darmanis, S., Tan, W., May, A. P., Marioni, J. C., Ponting, C. P. & Holländer, G. A., Aug 2020, In: eLife. 9, 27 p., e56221.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Cell Death 100%
  • Thymus Gland 90%
  • Cell Differentiation 76%
  • Epithelial Cells 67%
  • T-Lymphocytes 57%
  74 Citations (Scopus)

• Quantitative genetic analysis deciphers the impact of cis and trans regulation on cell-to-cell variability in protein expression levels

  Morgan, M. D., Patin, E., Jagla, B., Hasan, M., Quintana-Murci, L. & Marioni, J. C., Mar 2020, In: PLoS Genetics. 16, 3, 19 p., e1008686.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • genetic analysis 100%
  • quantitative genetics 89%
  • single cell proteins 64%
  • protein synthesis 57%
  • protein 54%
  7 Citations (Scopus)
• 2019

  Challenges in measuring and understanding biological noise

  Eling, N., Morgan, M. D. & Marioni, J. C., Sept 2019, In: Nature Reviews Genetics. 20, 9, p. 536-548 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Noise 100%
  • Population Biological Variation 26%
  • Literature 23%
  • Cellular Structures 23%
  • Direction compound 15%
  119 Citations (Scopus)

• Maturing human CD127+ CCR7+ PDL1+ dendritic cells express AIRE in the absence of tissue restricted antigens

  Fergusson, J. R., Morgan, M. D., Bruchard, M., Huitema, L., Heesters, B. A., van Unen, V., van Hamburg, J. P., van der Wel, N. N., Picavet, D., Koning, F., Tas, S. W., Anderson, M. S., Marioni, J. C., Holländer, G. A. & Spits, H., 14 Jan 2019, In: Frontiers in Immunology. 10, JAN, 17 p., 2902.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Dendritic Cells 100%
  • Antigens 70%
  • RNA Sequence Analysis 50%
  • Thymus Gland 43%
  • Autoimmune Polyendocrinopathies 34%
  34 Citations (Scopus)
• 2018

  Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability

  Morgan, M. D., Pairo-Castineira, E., Rawlik, K., Canela-Xandri, O., Rees, J., Sims, D., Tenesa, A. & Jackson, I. J., 10 Dec 2018, In: Nature Communications. 9, 5271.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Hair Color 100%
  • genome 86%
  • hair 77%
  • Light Brown 69%
  • Single Nucleotide Polymorphism 55%
  81 Citations (Scopus)

• CpG island composition differences are a source of gene expression noise indicative of promoter responsiveness

  Morgan, M. D. & Marioni, J. C., Jun 2018, In: Genome Biology. 19, 13 p., 18 .

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • CpG Islands 100%
  • gene expression 96%
  • Heterogeneity 76%
  • Noise 76%
  • Indicator 72%
  16 Citations (Scopus)

• Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors

  Haghverdi, L., Lun, A. T. L., Morgan, M. D. & Marioni, J. C., May 2018, In: Nature Biotechnology. 36, p. 421-427 12 p.

  Research output: Contribution to journal › Article › peer-review

  • RNA Sequencing 100%
  • RNA 72%
  • RNA Sequence Analysis 67%
  • Datasets 28%
  • Chemical analysis 19%
  1049 Citations (Scopus)
• 2016

  High-fat diet disrupts metabolism in two generations of rats in a parent-of-origin specific manner

  Chambers, T. J. G., Morgan, M. D., Heger, A. H., Sharpe, R. M. & Drake, A. J., 23 Aug 2016, In: Scientific Reports. 6, 31857.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • high fat diet 100%
  • germ cells 56%
  • metabolism 54%
  • rats 48%
  • transcriptome 23%
  37 Citations (Scopus)
• 2014

  MTHFR functional genetic variation and methotrexate treatment response in rheumatoid arthritis: a meta-analysis

  Morgan, M. D., Al-Shaarawy, N., Martin, S., Robinson, J. I., Twigg, S., Consortium, YEAR., Magdy, A. A., Omar, A. S., Ghattas, M. H., Emery, P., Barrett, J. H. & Morgan, A. W., 2014, In: Pharmacogenomics. 15, 4

  Research output: Contribution to journal › Article › peer-review

  • Methotrexate 100%
  • Genetic Variation 99%
  • Rheumatoid Arthritis 85%
  • Meta-Analysis 77%
  • Single Nucleotide Polymorphism 65%
  17 Citations (Scopus)
• 2013

  Allele-Dose Association of the C5orf30 rs26232 Variant With Joint Damage in Rheumatoid Arthritis

  Teare, M. D., Knevel, R., Morgan, M. D., Kleszcz, A., Emery, P., Moore, D. J., Conaghan, P., Huizinga, T. W. J., Morgan, A. W., van der Helm-van Mil, A. H. M. & Wilson, A. G., 1 Jul 2013, In: Arthritis and Rheumatism. 65, 10, p. 2555-2561

  Research output: Contribution to journal › Article › peer-review

  • Rheumatoid Arthritis 100%
  • Alleles 88%
  • Joints 85%
  • Genotype 43%
  20 Citations (Scopus)
• 2010

  Evaluation of the rheumatoid arthritis susceptibility loci HLA-DRB1, PTPN22, OLIG3/TNFAIP3, STAT4 and TRAF1/C5 in an inception cohort

  UKRAG Consortium & YEAR Consortium, 30 Mar 2010, In: Arthritis Research & Therapy. 12, R57.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • TNF Receptor-Associated Factor 1 100%
  • HLA-DRB1 Chains 79%
  • Rheumatoid Arthritis 49%
  • Genes 23%
  38 Citations (Scopus)