CoChat
Sign Up
Cited by 36

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Flow Cytometry Has a Significant Impact on the Cellular Metabolome

Binek, Aleksandra, Rojo, David, Godzien, Joanna, Rupérez, Francisco Javier, Nuñez, Vanessa, Jorge, Inmaculada, Ricote, Mercedes, Vázquez, Jesús, Barbas, Coral·2018·Journal of Proteome Research
DOI 10.1021/acs.jproteome.8b00472
Open this paper in CoChat — free account

Abstract

The characterization of specialized cell subpopulations in a heterogeneous tissue is essential for understanding organ function in health and disease. A popular method of cell isolation is fluorescence-activated cell sorting (FACS) based on probes that bind surface or intracellular markers. In this study, we analyze the impact of FACS on the cell metabolome of mouse peritoneal macrophages. Compared with directly pelleted macrophages, FACS-treated cells had an altered content of metabolites related to the plasma membrane, activating a mechanosensory signaling cascade causing inflammation-like stress. The procedure also triggered alterations related to energy consumption and cell damage. The observed changes mostly derive from the physical impact on cells during their passage through the instrument. These findings provide evidence of FACS-induced biochemical changes, which should be taken into account in the design of robust metabolic assays of cells separated by flow cytometry.

Overview

Integrity signals

Registry

Crossref · 10.1021/acs.jproteome.8b00472

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 2 references

Research works printed but not linked: 69

  1. 10.1016/j.cmet.2017.01.001 · DOI
  2. 10.1016/j.cmet.2016.09.008 · DOI · Paper page
  3. 10.1007/s11306-017-1203-1 · DOI
  4. 10.1016/j.cmet.2015.11.002 · DOI
  5. 10.1016/j.cell.2014.06.045 · DOI
  6. 10.1038/nbt.1579 · DOI
  7. 10.1073/pnas.69.7.1934 · DOI
  8. 10.1073/pnas.1302019110 · DOI
  9. 10.1105/tpc.113.114421 · DOI
  10. 10.1105/tpc.109.066480 · DOI
  11. 10.1007/s11306-015-0814-7 · DOI
  12. 10.1021/acs.analchem.5b04071 · DOI
  13. 10.1016/j.redox.2018.03.004 · DOI
  14. 10.1038/nature03896 · DOI
  15. 10.1016/j.cub.2008.07.063 · DOI
  16. 10.1085/jgp.200810104 · DOI
  17. 10.1007/s12013-009-9067-2 · DOI
  18. 10.1016/j.ceca.2009.02.008 · DOI
  19. 10.1016/S0006-3495(95)80366-8 · DOI
  20. Peterson J. W., 1998, Lab Invest, 78, 523
  21. 10.1038/nprot.2006.59 · DOI
  22. 10.1038/nprot.2012.024 · DOI
  23. 10.1371/journal.pone.0130675 · DOI
  24. 10.1038/srep11651 · DOI
  25. 10.1021/ac300716u · DOI
  26. 10.1021/ac9019522 · DOI
  27. 10.1007/s11306-014-0712-4 · DOI
  28. 10.1002/elps.201500352 · DOI
  29. 10.1021/acs.jproteome.5b00898 · DOI
  30. 10.1021/acs.jproteome.5b00169 · DOI
  31. 10.1002/elps.201500016 · DOI
  32. 10.1186/2047-217X-2-13 · DOI
  33. 10.1093/nar/gkv380 · DOI
  34. 10.1021/acschembio.8b00204 · DOI
  35. 10.1073/pnas.0905415106 · DOI
  36. 10.1538/expanim.60.7 · DOI
  37. 10.1038/srep12628 · DOI
  38. 10.3892/mmr.2016.5549 · DOI
  39. 10.1590/S0100-879X2011007500150 · DOI
  40. 10.1083/jcb.200305129 · DOI · Paper page
  41. 10.1098/rstb.2011.0387 · DOI
  42. 10.4049/jimmunol.0902883 · DOI
  43. Shamsuddin, A. K. M.; Yang, G.Y.Inositol & Its Phosphates: Basic Science to Practical Applications; Bentham Science Publishers Ltd: Sharjah, 2015; p 16–23. · DOI
  44. 10.1016/S0006-3495(04)74225-3 · DOI
  45. 10.1084/jem.182.5.1597 · DOI
  46. 10.5650/jos.60.537 · DOI
  47. 10.1074/jbc.M210375200 · DOI
  48. 10.1152/ajpheart.00222.2004 · DOI
  49. 10.1073/pnas.95.7.3638 · DOI
  50. 10.1016/S0092-8674(00)80183-X · DOI
  51. Park M.-T., 2003, Clin. Cancer Res., 9, 878
  52. 10.1038/nrm1963 · DOI
  53. 10.1006/bbrc.1996.0589 · DOI
  54. 10.1016/j.febslet.2005.07.038 · DOI
  55. Lee K. S., 1994, J. Biol. Chem., 269, 19725, 10.1016/S0021-9258(17)32081-1 · DOI
  56. 10.1038/nature01807 · DOI
  57. 10.1073/pnas.0303329101 · DOI
  58. 10.1152/ajpcell.00365.2003 · DOI
  59. 10.1007/s00424-003-1028-9 · DOI
  60. 10.1161/01.RES.0000187474.47805.30 · DOI
  61. 10.1016/j.cell.2009.08.045 · DOI
  62. 10.1113/jphysiol.2006.118372 · DOI
  63. 10.1146/annurev.physiol.65.092101.142505 · DOI
  64. 10.1016/j.ceca.2009.03.016 · DOI
  65. 10.1038/16711 · DOI
  66. 10.1194/jlr.R800033-JLR200 · DOI · Paper page
  67. 10.1111/j.1748-1716.2006.01557.x · DOI
  68. 10.1016/0005-2736(90)90301-4 · DOI
  69. 10.1074/jbc.R200008200 · DOI

Cited by

Sorted by citations

See all 36

Metadata

Authors
Binek, A., Rojo, D., Godzien, J., Rupérez, F. J., Nuñez, V., Jorge, I., Ricote, M., Vázquez, J., & Barbas, C.
Affiliations
  • Fundación Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid 28029, Spain1
  • Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Montepríncipe, Madrid 28668, Spain
ORCID
Venue
Journal of Proteome Research
Publisher
American Chemical Society (ACS)
Published
2018-11-02
ISSN
  • 1535-3893
  • 1535-3907
DOI
10.1021/acs.jproteome.8b00472
Cited by
36
References
2
Language
en
Funders
  • FP7 People: Marie-Curie Actions (608027)
  • Ministerio de Ciencia e Innovaci?n (SEV-2015-0505)
  • Ministerio de Econom?a y Competitividad (SAF2015-71878-REDT, CTQ2014-55279-R, SAF2015-64287R)
  • Instituto de Salud Carlos III (BIO2015-67580-P)
  • Fundaci? la Marat? de TV3 (201605-30-31-32)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Flow Cytometry Has a Significant Impact on the Cellular Metabolome. https://app.cochat.ai/papers/10.1021/acs.jproteome.8b00472
The paper
Binek, A., Rojo, D., Godzien, J., Rupérez, F. J., Nuñez, V., Jorge, I., Ricote, M., Vázquez, J., & Barbas, C. (2018). Flow Cytometry Has a Significant Impact on the Cellular Metabolome. Journal of Proteome Research. https://doi.org/10.1021/acs.jproteome.8b00472