Jones, Robert C.

A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

The Tabula Muris Consortium, Almanzar, N., Antony, J., Baghel, A. S., Bakerman, I., Bansal, I., Barres, B. A., Beachy, P. A., Berdnik, D., Bilen, B., et al. (2020) · Nature

Single-cell and spatial transcriptomicsGenetics, Aging, and Longevity in Model Organisms

Cited by 1,247

The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

The Tabula Sapiens Consortium*, Jones, R. C., Karkanias, J., Krasnow, M. A., Pisco, A. O., Quake, S. R., Salzman, J., Yosef, N., Bulthaup, B., Brown, P., et al. (2022) · Science

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 1,056

Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex

Pollen, A. A., Nowakowski, T. J., Shuga, J., Wang, X., Leyrat, A. A., Lui, J. H., Li, N., Szpankowski, L., Fowler, B., Chen, P., et al. (2014) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 920

c-Jun overexpression in CAR T cells induces exhaustion resistance

Lynn, R. C., Weber, E. W., Sotillo, E., Gennert, D., Xu, P., Good, Z., Anbunathan, H., Lattin, J., Jones, R., Tieu, V., et al. (2019) · Nature

CAR-T cell therapy researchT-cell and B-cell Immunology

Cited by 891

Ageing hallmarks exhibit organ-specific temporal signatures

Schaum, N., Lehallier, B., Hahn, O., Pálovics, R., Hosseinzadeh, S., Lee, S. E., Sit, R., Lee, D. P., Losada, P. M., Zardeneta, M. E., et al. (2020) · Nature

Genetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics

Cited by 671

Benchmarking single-cell RNA-sequencing protocols for cell atlas projects

Mereu, E., Lafzi, A., Moutinho, C., Ziegenhain, C., McCarthy, D. J., Álvarez-Varela, A., Batlle, E., Sagar, Grün, D., Lau, J. K., et al. (2020) · Nature Biotechnology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 499

Taking qPCR to a higher level: analysis of CNV reveals the power of high throughput qPCR to enhance quantitative resolution

Weaver, S., Dube, S., Mir, A., Qin, J., Sun, G., Ramakrishnan, R., Jones, R. C., & Livak, K. J. (2010) · Methods

Molecular Biology Techniques and ApplicationsGenomic variations and chromosomal abnormalities

Cited by 220

Molecular hallmarks of heterochronic parabiosis at single-cell resolution

Pálovics, R., Keller, A., Schaum, N., Tan, W., Fehlmann, T., Borja, M., Kern, F., Bonanno, L., Calcuttawala, K., Webber, J., et al. (2022) · Nature

Genetics, Aging, and Longevity in Model OrganismsSingle-cell and spatial transcriptomics

Cited by 153

Cell types of origin of the cell-free transcriptome

Vorperian, S. K., Moufarrej, M. N., Tabula Sapiens Consortium, Overall Project Direction and Coordination, Jones, R. C., Karkanias, J., Krasnow, M., Pisco, A. O., Quake, S. R., Salzman, J., et al. (2022) · Nature Biotechnology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 116

Studying copy number variations using a nanofluidic platform

Qin, J., Jones, R. C., & Ramakrishnan, R. (2008) · Nucleic Acids Research

Microfluidic and Capillary Electrophoresis ApplicationsGenomic variations and chromosomal abnormalities

Cited by 102

Inhibiting USP16 rescues stem cell aging and memory in an Alzheimer’s model

Reinitz, F., Chen, E. Y., Nicolis di Robilant, B., Chuluun, B., Antony, J., Jones, R. C., Gubbi, N., Lee, K., Ho, W. H. D., Kolluru, S. S., et al. (2022) · eLife

Alzheimer's disease research and treatmentsNeurogenesis and neuroplasticity mechanisms

Cited by 18