CoChat
Sign Up
Cited by 298

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis

Bagger, Frederik Otzen, Sasivarevic, Damir, Sohi, Sina Hadi, Laursen, Linea Gøricke, Pundhir, Sachin, Sønderby, Casper Kaae, Winther, Ole, Rapin, Nicolas, Porse, Bo T.·2016·Nucleic Acids Research
DOI 10.1093/nar/gkv1101PMC PMC4702803
Open this paper in CoChat — free account

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 · 10.1093/nar/gkv1101

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1. Principal component analysis (PCA) plot of BloodPool samples. (A) before batch correction, (B) after batch correction. Batches are coloured by study of origin.
Figure 1. Principal component analysis (PCA) plot of BloodPool samples. (A) before batch correction, (B) after batch correction. Batches are coloured by study of origin.CC BY-NC · PubMed Central
Figure 2. BloodSpot interface details. After a gene alias is submitted to display its expression pattern, any of the top three panels can be clicked to magnify content. The three panels show, from left to right, a survival plot based on a high-quality AML data set displaying a full Kaplan–Meier analysis for any query gene or gene signature, an improved jitter strip chart of gene-expression plot that draws from bar plots and violin plots and an interactive hierarchical tree that shows the relationship between the samples displayed and allows changing the focus of the display. The Select Population button allows the user to select which populations to display. The Gene Correlations button shows in a table how much other genes or gene signatures correlate with the displayed gene. It is possible to click on the genes in the table to display their expression profile. The Print as PDF button allows the user to export the current plot in PDF format. The T-Test button allows you to perform significance test between pairs of populations (legend is as follows: NS: non significant; *P < 0.05; **P < 0.01; ***P < 0.001). The Export Data as Text button allows you to export the raw data as text (CSV format). The Upload your own sample button allows for the upload of an Affymetrix HU133 plus 2.0 .CEL file and for viewing it in the context of normal haematopoiesis. The drop down menu in the upper right corner of the main plot can be used to select a probe representing the gene of interest; by default, the probe with the highest intensity is chosen. At the bottom of the main plot, a list of abbreviations is available that includes immunophenotypes when applicable.
Figure 2. BloodSpot interface details. After a gene alias is submitted to display its expression pattern, any of the top three panels can be clicked to magnify content. The three panels show, from left to right, a survival plot based on a high-quality AML data set displaying a full Kaplan–Meier analysis for any query gene or gene signature, an improved jitter strip chart of gene-expression plot that draws from bar plots and violin plots and an interactive hierarchical tree that shows the relationship between the samples displayed and allows changing the focus of the display. The Select Population button allows the user to select which populations to display. The Gene Correlations button shows in a table how much other genes or gene signatures correlate with the displayed gene. It is possible to click on the genes in the table to display their expression profile. The Print as PDF button allows the user to export the current plot in PDF format. The T-Test button allows you to perform significance test between pairs of populations (legend is as follows: NS: non significant; *P < 0.05; **P < 0.01; ***P < 0.001). The Export Data as Text button allows you to export the raw data as text (CSV format). The Upload your own sample button allows for the upload of an Affymetrix HU133 plus 2.0 .CEL file and for viewing it in the context of normal haematopoiesis. The drop down menu in the upper right corner of the main plot can be used to select a probe representing the gene of interest; by default, the probe with the highest intensity is chosen. At the bottom of the main plot, a list of abbreviations is available that includes immunophenotypes when applicable.CC BY-NC · PubMed Central
Figure 3. Main plots from BloodSpot for MEIS1. (A) Default view in BloodSpot. The plot is a novel improved jitter strip chart of gene expression that draws from bar plots and violin plots where the jitter is controlled by the density of samples and normalised over all the columns in the chart. (B) Survival plot based on a high-quality AML data set from The Cancer Genome Atlas (TCGA). It displays a full Kaplan–Meier analysis of survival. The survival plots are only available for human data sets, sharing probes with the microarray platform used by the TCGA. (C) Interactive hierarchical tree that shows the relationship between the samples displayed. Hovering over the nodes provides the full names of cell populations. Nodes can be clicked to collapse a branch of the tree—this will also update the default plot in the middle and remove the same populations there. The colour in the nodes represents the median expression of the queried gene. To accentuate the display in the trees, node size is also proportional to gene expression. Trees are based on literature (hierarchical differentiation), or overall sample correlation (correlation of samples). (D) Example table of genes and gene signatures correlating with MEIS1 expression in the default data set. This table appears when the user clicks on the ‘correlation’ button.
Figure 3. Main plots from BloodSpot for MEIS1. (A) Default view in BloodSpot. The plot is a novel improved jitter strip chart of gene expression that draws from bar plots and violin plots where the jitter is controlled by the density of samples and normalised over all the columns in the chart. (B) Survival plot based on a high-quality AML data set from The Cancer Genome Atlas (TCGA). It displays a full Kaplan–Meier analysis of survival. The survival plots are only available for human data sets, sharing probes with the microarray platform used by the TCGA. (C) Interactive hierarchical tree that shows the relationship between the samples displayed. Hovering over the nodes provides the full names of cell populations. Nodes can be clicked to collapse a branch of the tree—this will also update the default plot in the middle and remove the same populations there. The colour in the nodes represents the median expression of the queried gene. To accentuate the display in the trees, node size is also proportional to gene expression. Trees are based on literature (hierarchical differentiation), or overall sample correlation (correlation of samples). (D) Example table of genes and gene signatures correlating with MEIS1 expression in the default data set. This table appears when the user clicks on the ‘correlation’ button.CC BY-NC · PubMed Central
Figure 4. MEIS1 expression relative to the nearest normal counterpart in different AML subtypes, including MLL-rearranged AML.
Figure 4. MEIS1 expression relative to the nearest normal counterpart in different AML subtypes, including MLL-rearranged AML.CC BY-NC · PubMed Central

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

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?

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

Research works printed but not linked: 28

  1. 10.1038/ni.2370 · DOI
  2. 10.1093/nar/gks1021 · DOI
  3. 10.1371/journal.pone.0040321 · DOI
  4. 10.1182/blood-2008-06-162958 · DOI
  5. 10.1093/nar/gkt1036 · DOI
  6. 10.1093/nar/gkn854 · DOI
  7. 10.1093/nar/gku895 · DOI
  8. 10.1182/blood-2013-02-485771 · DOI
  9. 10.1093/bioinformatics/btg405 · DOI
  10. 10.1186/gb-2013-14-4-r36 · DOI · Paper page
  11. 10.1126/science.1256271 · DOI · Paper page
  12. 10.1038/leu.2014.307 · DOI
  13. 10.1182/blood-2013-02-485771 · DOI
  14. 10.1073/pnas.0900089106 · DOI · Paper page
  15. 10.1186/1755-8794-3-6 · DOI
  16. 10.1016/j.immuni.2008.08.016 · DOI
  17. 10.1002/eji.200738008 · DOI
  18. 10.1073/pnas.1112169108 · DOI
  19. 10.1016/j.stem.2007.10.003 · DOI
  20. 10.4049/jimmunol.1002695 · DOI
  21. 10.1038/leu.2010.73 · DOI
  22. 10.1200/JCO.2009.23.4732 · DOI
  23. 10.1111/j.1365-2141.2008.07261.x · DOI
  24. 10.3324/haematol.13299 · DOI
  25. 10.1182/blood-2010-03-270991 · DOI
  26. 10.1084/jem.20110538 · DOI
  27. 10.1038/ni.2262 · DOI
  28. 10.1038/ni.2247 · DOI

Cited by

See all 298

Metadata

Authors
Bagger, F. O., Sasivarevic, D., Sohi, S. H., Laursen, L. G., Pundhir, S., Sønderby, C. K., Winther, O., Rapin, N., & Porse, B. T.
ORCID
Venue
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Published
2015-10-26
Volume
44
Issue
D1
Pages
D917-D924
ISSN
  • 0305-1048
  • 1362-4962
DOI
10.1093/nar/gkv1101
PMC
PMC4702803
Cited by
298
References
7
Language
en
Licence
creativecommons.org/licenses/by-nc/4.0/ (vor, 386 d)

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