Cited by 25Malaria Research and ControlBird parasitology and diseasesVector-borne infectious diseases

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Single-Cell Transcriptomics To Define Plasmodium falciparum Stage Transition in the Mosquito Midgut

Open access
Mohammed, Mubasher, Dziedziech, Alexis, Sekar, Vaishnovi, Ernest, Medard, Alves E Silva, Thiago Luiz, Balan, Balu, Emami, S. Noushin, Biryukova, Inna, Friedländer, Marc R., Jex, Aaron, Jacobs-Lorena, Marcelo, Henriksson, Johan, Vega-Rodriguez, Joel, Ankarklev, Johan·2023·Microbiology Spectrum

Published version of a preprint

Abstract

The malaria parasite Plasmodium falciparum causes more than half a million deaths per year. The current treatment regimen targets the symptom-causing blood stage inside the human host.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1128/spectrum.03671-22

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 66

  1. 10.1017/S0031182097008895 · DOI
  2. 10.1590/0074-0276130597 · DOI
  3. 10.1016/j.pt.2020.05.011 · DOI
  4. 10.1038/nmeth.3432 · DOI
  5. 10.1186/1471-2164-15-636 · DOI
  6. 10.1016/s0952-7915(00)00186-2 · DOI
  7. 10.1016/j.vaccine.2015.08.073 · DOI
  8. 10.3390/pathogens8020047 · DOI
  9. 10.1155/2022/5796578 · DOI
  10. 10.3389/fmicb.2020.00269 · DOI
  11. 10.1126/science.aaw2619 · DOI
  12. 10.1016/j.yexcr.2018.08.003 · DOI
  13. 10.1038/nature24280 · DOI
  14. 10.1038/s41467-021-23434-z · DOI
  15. 10.7554/eLife.33105 · DOI
  16. 10.1111/cmi.12604 · DOI
  17. 10.1111/cmi.12363 · DOI
  18. 10.1073/pnas.1919709117 · DOI
  19. 10.1371/journal.ppat.1000539 · DOI
  20. 10.1371/journal.pgen.1007490 · DOI
  21. 10.1111/j.1462-5822.2008.01127.x · DOI
  22. 10.1111/j.1365-2958.2008.06407.x · DOI
  23. 10.7554/eLife.65282 · DOI
  24. 10.1371/journal.ppat.1004905 · DOI
  25. 10.15252/embr.202051660 · DOI
  26. 10.1016/j.chom.2016.12.003 · DOI
  27. 10.1128/mBio.01986-17 · DOI
  28. 10.1074/jbc.M509631200 · DOI
  29. 10.1186/1471-2164-12-587 · DOI
  30. 10.1128/MMBR.00059-13 · DOI
  31. 10.1139/bcb-2016-0028 · DOI
  32. 10.1074/jbc.M110.198499 · DOI
  33. 10.1042/bj3110761 · DOI
  34. 10.12688/wellcomeopenres.15194.1 · DOI
  35. 10.1371/journal.pone.0141729 · DOI
  36. 10.1016/0035-9203(86)90219-1 · DOI
  37. 10.1371/journal.ppat.1002948 · DOI
  38. 10.1007/s10577-017-9553-0 · DOI
  39. 10.1093/nar/18.16.4737 · DOI
  40. 10.1016/j.celrep.2014.09.005 · DOI
  41. 10.1128/IAI.01417-15 · DOI
  42. 10.1038/nature12920 · DOI
  43. 10.1111/mmi.14340 · DOI
  44. 10.1111/cmi.12742 · DOI
  45. 10.1371/journal.ppat.1000853 · DOI
  46. 10.1016/0166-6851(95)00030-5 · DOI
  47. 10.1016/S1995-7645(11)60042-4 · DOI
  48. 10.1371/journal.ppat.1007035 · DOI
  49. 10.1126/science.1209678 · DOI
  50. 10.1371/journal.ppat.1003136 · DOI
  51. 10.1093/nar/gkv342 · DOI
  52. 10.1080/07391102.2017.1392365 · DOI
  53. 10.1093/bioinformatics/bts310 · DOI
  54. 10.1016/s0167-5699(97)01152-3 · DOI
  55. 10.1038/s41586-019-0973-1 · DOI
  56. 10.1038/s41541-021-00366-9 · DOI
  57. 10.1038/s41467-018-06742-9 · DOI
  58. 10.1038/nprot.2016.096 · DOI
  59. 10.1038/nprot.2014.006 · DOI · Paper page
  60. 10.1186/s12864-018-4772-0 · DOI · Paper page
  61. 10.1038/s41467-020-14766-3 · DOI
  62. 10.1002/pro.5560020916 · DOI
  63. 10.1093/bioinformatics/15.5.413 · DOI
  64. 10.1016/j.bpj.2011.10.024 · DOI
  65. 10.1093/nar/gkr411 · DOI
  66. 10.1016/j.celrep.2014.07.055 · DOI

Metadata

Authors
Mohammed, M., Dziedziech, A., Sekar, V., Ernest, M., Alves E Silva, T. L., Balan, B., Emami, S. N., Biryukova, I., Friedländer, M. R., Jex, A., Jacobs-Lorena, M., Henriksson, J., Vega-Rodriguez, J., & Ankarklev, J.
Affiliations
  • Stockholm University (SE)
  • National Institutes of Health (US)
  • Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, Maryland, USA
  • The University of Melbourne (AU)
  • Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
  • Umeå University (SE)
  • Uppsala University (SE)
Corresponding author
Ankarklev, Johan
Venue
Microbiology Spectrum
Published
2023-04-13
Volume
11
Issue
2
Pages
e0367122-e0367122
ISSN
2165-0497 (ISSN-L)
OpenAlex
W4322493932
Cited by
25
References
3
Citations by year
2026: 5 · 2025: 11 · 2024: 5 · 2023: 4
FWCI
6.40
Type
journal article
Language
en
Open access
Locations
  • Microbiology Spectrum (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Greenwich Academic Literature Archive (University of Greenwich) (acceptedVersion)
  • KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
  • DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, other-oa)
Funders
  • The Swedish Society for Medical Research (Stora Anslaget)
  • The Jeansson Foundation
  • NIH Distinguished Scholars Program (AI001250-01)
  • HHS | National Institutes of Health (R01AI031478)
  • Science for Life Laboratory
  • Vetenskapsrådet (VR-N/T, SFO program, 2021-06602)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Life Sciences › Immunology and Microbiology › Parasitology › Bird parasitology and diseases
  • Life Sciences › Immunology and Microbiology › Parasitology › Vector-borne infectious diseases
Keywords
Plasmodium falciparum, mosquito midgut, parasite developmental stages, ookinetes, stage transitions, single-cell transcriptomics, biomarkers, transmission blocking, malaria transmission

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