Evidence map›Paper›PMID 31767751›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

High-throughput assessment of hemoglobin polymer in single red blood cells from sickle cell patients under controlled oxygen tension.

Giuseppe Di Caprio, Ethan Schonbrun, Bronner P Gonçalves, Jose M Valdez, David K Wood, John M Higgins

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. High-throughput quantification of red blood cell deformability and oxygen saturation to probe mechanisms of sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Biosynthesis of High-Active Hemoproteins by the Efficient Heme-Supply Pichia Pastoris Chassis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  10. Article
  11. Article
  12. Phenotypic screening of the ReFRAME drug repurposing library to discover new drugs for treating sickle cell disease.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Article
  14. Microfluidic methods to advance mechanistic understanding and translational research in sickle cell disease.Translational research : the journal of laboratory and clinical medicine · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genetic therapies for the first molecular disease.The Journal of clinical investigation · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Giuseppe Di CaprioCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114.
Ethan SchonbrunCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114.
Bronner P GonçalvesCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114.
Jose M ValdezDeparment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455.
David K WoodDeparment of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455 dkwood@umn.edu john_higgins@hms.harvard.edu.
John M HigginsCenter for Systems Biology, Massachusetts General Hospital, Boston, MA 02114; dkwood@umn.edu john_higgins@hms.harvard.edu.
Center for Systems Biology · USHarvard University · USUniversity of Minnesota · US

Funding

Developing a multiscale understanding of biophysical processes in sickle cell diseaseR01HL132906 · NHLBI · UNIVERSITY OF MINNESOTA · PI WOOD, DAVID KEVIN · 2017 to 2024
$4.6M
Dissecting the origins of fetal hemoglobin modulation of sickle cell vaso-occlusionR21HL130818 · NHLBI · UNIVERSITY OF MINNESOTA · PI WOOD, DAVID KEVIN · 2016 to 2017
$435k
A microfluidic platform to study sickle blood rheologyR56HL132906 · NHLBI · UNIVERSITY OF MINNESOTA · PI WOOD, DAVID KEVIN · 2016 to 2016
$402k
NHLBI NIH HHS R01 HL132906NHLBI NIH HHS R21 HL130818NHLBI NIH HHS R56 HL132906
6 · The paper itself

Abstract

Sickle cell disease (SCD) is caused by a variant hemoglobin molecule that polymerizes inside red blood cells (RBCs) in reduced oxygen tension. Treatment development has been slow for this typically severe disease, but there is current optimism for curative gene transfer strategies to induce expression of fetal hemoglobin or other nonsickling hemoglobin isoforms. All SCD morbidity and mortality arise directly or indirectly from polymer formation in individual RBCs. Identifying patients at highest risk of complications and treatment candidates with the greatest curative potential therefore requires determining the amount of polymer in individual RBCs under controlled oxygen. Here, we report a semiquantitative measurement of hemoglobin polymer in single RBCs as a function of oxygen. The method takes advantage of the reduced oxygen affinity of hemoglobin polymer to infer polymer content for thousands of RBCs from their overall oxygen saturation. The method enables approaches for SCD treatment development and precision medicine.

Indexed as

Anemia, Sickle CellErythrocytesHemoglobinsHemoglobin, SickleHigh-Throughput Screening AssaysHumansKineticsOxygenSingle-Cell Analysishemoglobin polymerHemoglobinsHemoglobin, SickleOxygendiagnosticserythrocyteshemoglobin polymerizationoxygen affinitysickle cell disease

Identifiers

PMID31767751
PMCPMC6911208
OpenAlexW2989663493

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.