Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression

Étienne Becht, Nicolás A. Giraldo, Laetitia Lacroix, Bénédicte Buttard, Nabila Elarouci, Florent Petitprez, Janick Sèlves, Pierre Laurent‐Puig, Catherine Sautès‐Fridman, Wolf H. Fridman, Aurélien de Reyniès · Genome biology · 2016 · genomics · 10.1186/s13059-016-1070-5 · record becht2016-estimating-the-population-abundanc
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Other fields define these differently the same word, defined another way in another discipline
AUC 4 fields

Tags on this paper

Every tag the record carries, each linking to every other paper in the corpus that carries it. A tag appears here whether or not its words occur in the article — the spans below are only the ones a sentence in this paper licenses. Of the 9 concept tags on this paper, all 9 are grounded in a quoted sentence. All carry the tagger's gloss of what the term means in this paper, which is not something the article can license.
MCP-counter transcriptomic markers cell population negative controls arbitrary units CIBERSORT flow cytometry limit of detection immunohistochemical a marker that belongs to one population and nothing else the controls decide the vocabulary breadth of controls costing specificity a scale with no zero and no unit AUC Pearson system-or-tool-building
Method, as described: markers selected on three simultaneous thresholds against 1194 purified microenvironment samples and 742 tumour cell lines as negative controls, scored as the log2 mean of their expression, validated on 4804 further samples, on latin-square RNA mixtures and on 38 immunohistochemically quantified tumours

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relation to other workclaim_relationshow this paper stands to another: agrees, contradicts, extends, qualifies
claim typeclaim_typethe shape of the claim: existence, mechanism, method, critique, prediction, null
concept edgeconcept_edgesan asserted relation between two concepts, with the sentence asserting it
conceptconceptsan idea the paper works with, quoted where the paper uses it
content tagcontent_tagsa finding, definition, quantity, statistic or variable named in the paper
contributioncontributionwhat the paper claims to add
controlcontrolsan experiment run to eliminate a rival explanation
limitationlimitationswhat the paper says its evidence cannot support
mechanismmechanismshow the reported effect is said to come about
methodmethodhow the paper produced its evidence
object of studyobject_of_studywhat the paper is about — the thing it investigates
phenomenonphenomenonthe effect or regularity under study
research questionresearch_questionthe question the paper sets itself
sensesensesa distinct use of a term, quoted where the paper fixes it
transfertransfersa method or concept carried in from another field

The paper

The full text is not reproduced here. This article is not cleared for redistribution, so the page carries the tag layer only. Its evidence sentences are withheld; the grounding status remains with each tag, and the article itself is at https://doi.org/10.1186/s13059-016-1070-5. The reading view exists for the papers whose licence permits it.

Every tag on this page

claim_relations 4 · claim_type 1 · concept_edges 2 · concepts 9 · content_tags 17 · contribution 1 · controls 10 · limitations 9 · mechanisms 4 · method 1 · object_of_study 1 · phenomenon 1 · research_question 1 · senses 5 · transfers 2

Relations on this page carry a quotation for the claim. Where a relation was separately evidenced — and so tested against the vocabulary for its type — the row says so; 2 of 2 relations here carry that mark. The rest are the tagger’s reading of the sentence quoted beside them.

facettagfieldconf.whose words
object_of_studyhow much of each immune and stromal cell population is present in a tissue sample, read out of a bulk transcriptome - and what kind of comparison the resulting number licenses
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object_of_studythe paper's words
research_questionwhether markers exist that are expressed in one and only one cell population, and whether their average expression tracks that population's abundance well enough to compare samples
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research_questionthe paper's words
contributionMCP-counter - ten populations scored from data-driven transcriptomic markers selected against curated negative controls, validated against in vitro RNA mixtures and against immunohistochemical cell densities, and explicitly scoped to inter-sample comparison in arbitrary units
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contributionthe paper's words
claim_typemethod
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claim_typethe paper's words
phenomenona bulk transcriptome averaging signals from every cell type present, so that the composition of the tissue is recoverable only through markers that belong to one population and nothing else
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phenomenonthe paper's words
methodsystem-or-tool-building
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methodthe paper's words
mechanismsif a gene is expressed in exactly one cell type and at a stable level within it, then its expression in a mixture is proportional to how much of that cell type is there - no unmixing, no reference matrix, no dependence on what else is in the sample. The whole method is that one property, and the paper says such genes are not guaranteed to exist
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mechanisms[0]0.95the tagger's words
mechanismsa marker qualifies by separating positive from negative samples, so a population with no purified counter-example in a public repository cannot be given markers at all. Effector memory CD4 T cells are named as a casualty: they would need central memory CD4 and effector memory CD8 controls, and those were not available
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mechanisms[1]0.95the tagger's words
mechanisms21 cancer types among the negative controls make the markers portable across tissues and remove any marker that any of those tissues expresses. NCAM1/CD56, a standard NK marker, is discarded because nervous malignant cells carry it - which protects every other tissue and gives up NK quantification in brain
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mechanisms[2]0.95the tagger's words
mechanismsthe score is a log2 mean of marker expression, so it moves with abundance and has no absolute meaning. Two consequences the paper states: the units depend on the measurement platform, and mapping them onto percentages would require calibrating samples of known composition - which is the step aran2017 later takes
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mechanisms[3]0.95the tagger's words
limitationsthe scores are in arbitrary units that depend on the gene expression platform, so only samples produced on the same platform can be compared
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limitations[0]0.95the tagger's words
limitationstranscriptomic markers are not guaranteed to exist for a given population, because the definition requires expression in one and only one cell type
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limitations[1]0.95the tagger's words
limitationspopulations without publicly available negative controls were dropped from the method regardless of their interest
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limitations[2]0.95the tagger's words
limitationsthe breadth of the control set discards markers that would work in a restricted setting - NCAM1 is lost because nervous malignant cells express it
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limitations[3]0.95the tagger's words
limitationsspatial localisation is lost relative to immunohistochemistry, and histological confirmation may be needed where contamination by surrounding tissue is unavoidable
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limitations[4]0.95the tagger's words
limitationsaccuracy depends on the quality of the expression summary, and the populations estimated are usually rare, so high sequencing depth may be required
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limitations[5]0.95the tagger's words
limitationsthe prognostic meta-analysis is univariate and unadjusted for stage or treatment
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limitations[6]0.95the tagger's words
limitationssurprising tissue-level results are referred back to histopathological knowledge rather than defended - the authors say the method should be compared against it
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limitations[7]0.95the tagger's words
limitationsthe cytotoxic lymphocyte population's mRNA was not controlled in the mixture experiment, so its validation is a linear model on the other populations rather than a direct calibration
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limitations[8]0.95the tagger's words
transfersthe latin square, carried from agricultural experimental design into the layout of an RNA mixture so that no two populations' concentrations are collinear
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transfers[0]0.95the tagger's words
transfersthe ROC curve and the signal-to-noise ratio, carried from signal detection into the selection criteria for a gene marker
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transfers[1]0.95the tagger's words
controls742 tumour cell line samples from 21 non-hematopoietic cancer types included as negative controls, with no hematopoietic line included and the reason stated
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eliminates: a marker that is merely abundant being taken for a marker that is specific - and the exclusion of hematopoietic lines removes a control that would have looked like the positive class · outcome: held
controls[0]0.95the tagger's words
controlsthree simultaneous thresholds per candidate feature - a log2 expression difference, an AUC for identifying positive samples, and a signal-to-noise ratio
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eliminates: a feature qualifying on one favourable statistic; all three must be met at once, which is what makes the marker set conservative rather than large · outcome: held
controls[1]0.95the tagger's words
controlstwo independent validation series on different array platforms, 4804 samples, with the selection criteria re-applied to see whether the same markers come out
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eliminates: the marker sets being an artefact of the discovery data or of one array platform - the overlap is tested for significance rather than eyeballed · outcome: held
controls[2]0.95the tagger's words
controlsan in vitro RNA mixture experiment with the populations laid out in two transposed latin squares
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eliminates: collinearity between the populations - without the latin square, a score could track its own population or any other that happened to co-vary with it · outcome: held
controls[3]0.95the tagger's words
controlsimmunohistochemical digital quantification of three cell densities on tissue sections from 38 colorectal tumours, compared against the corresponding scores
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eliminates: in vitro mixtures standing in for tissue - purified RNA mixed in a tube is not a tumour, and the ex vivo check is on real infiltrate · outcome: held
controls[4]0.95the tagger's words
controlsa simulation in which the within-leukocyte proportions are held constant and equal while the tumour fraction varies, run through both methods
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eliminates: the two methods being compared on a case that cannot separate them - this one is built so that the correct answers differ, and both give theirs · outcome: held
controls[5]0.95the tagger's words
controlsmarker sets from two previously published methods scored on the same three microenvironment series as this one
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eliminates: the comparison being against the competitors' published numbers rather than against their markers on identical data · outcome: held
controls[6]0.95the tagger's words
controlsa limit of detection established per population against non-hematopoietic control samples
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eliminates: a score being read as presence at any level - below the stated fraction the method cannot distinguish the population from a sample containing none · outcome: held
controls[7]0.95the tagger's words
controlsthe same tumour analysis repeated on three transcriptomic platforms across more than 19,000 samples
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eliminates: a platform-specific artefact being reported as biology, within the constraint that the units themselves are not comparable across platforms · outcome: partial
controls[8]0.95the tagger's words
controlsthe discovery set spanning 344 different culture conditions, purification methods and cell treatments
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eliminates: marker genes selected because of the conditions the reference cells were grown in rather than because of the cell type · outcome (stated by the tagger, no quotation): held
controls[9]0.95the tagger's words
conceptsMCP-counter
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also in: MCP-counter
concepts[0]0.95the paper's words
conceptstranscriptomic markers
Quotation withheld — this record is not cleared for redistribution. The sentence is in the paper at the link above.
concepts[1]0.95the paper's words
conceptscell population
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concepts[2]0.95the paper's words
conceptsnegative controls
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concepts[3]0.95the paper's words
conceptsarbitrary units
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concepts[4]0.95the paper's words
conceptsCIBERSORT
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also in: CIBERSORT
concepts[5]0.95the paper's words
conceptsflow cytometry
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concepts[6]0.95the paper's words
conceptslimit of detection
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concepts[7]0.95the paper's words
conceptsimmunohistochemical
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concepts[8]0.95the paper's words
senseswhat an MCP-counter score is - IN THE ABSTRACT: a robust quantification of the ABSOLUTE abundance of ten cell populations
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senses[0]0.95the tagger's words
senseswhat an MCP-counter score is - IN THE RESULTS: a measure of the INTER-SAMPLE RELATIVE abundance of one population
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senses[1]0.95the tagger's words
senseswhat an MCP-counter score is - IN THE DISCUSSION: linearly correlated with abundance, in ARBITRARY UNITS that depend on the gene expression platform, comparable only between samples run on the same platform
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senses[2]0.95the tagger's words
senseswhat the score answers - MCP-COUNTER: is there more of this cell type in sample A than in sample B
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senses[3]0.95the tagger's words
senseswhat the score answers - CIBERSORT: what share of the leukocytes in THIS sample are of this cell type. The paper's own simulation shows both answering correctly at once
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senses[4]0.95the tagger's words
claim_relationscritiques → methods that characterise proportions of immune populations within the leukocyte fraction while omitting the overall abundance of leukocytes in the sample
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claim_relations[0]0.95the tagger's words
claim_relationsqualifies → CIBERSORT - not as wrong but as answering a different question; the paper's own simulation has it estimating stable within-leukocyte proportions correctly while total abundance changes
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claim_relations[1]0.95the tagger's words
claim_relationsqualifies → its own headline - the abstract says absolute abundance and the discussion says arbitrary, platform-dependent units comparable only within a platform
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claim_relations[2]0.95the tagger's words
claim_relationsextends → immunohistochemistry, which MCP-counter is said to be conceptually closest to - ten populations from one experiment, at the cost of all spatial information
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claim_relations[3]0.95the tagger's words
concept_edgesMCP-counter —distinct-from→ CIBERSORT
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differs in: whether the comparison licensed is between cell types inside one sample or between samples for one cell type · the relation itself is separately evidenced · strength of the relation: 0.95 · differs in (stated by the tagger, no quotation): whether the comparison licensed is between cell types inside one sample or between samples for one cell type · the relation stated: one measures proportions within a sample, the other abundance of one population across samples, and the second pays for it in arbitrary units
concept_edges[0]0.95the tagger's words
concept_edgesMCP-counter —distinct-from→ flow cytometry
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differs in: which axis of comparison the measurement is built for · the relation itself is separately evidenced · strength of the relation: 0.95 · differs in (stated by the tagger, no quotation): which axis of comparison the measurement is built for · the relation stated: flow-cytometry-inspired methods describe the relative proportions of populations within one sample; this one is designed for the other axis
concept_edges[1]0.95the tagger's words
content_tagsin a simulation where within-leukocyte proportions are constant and tumour content varies, MCP-counter tracks abundance and CIBERSORT accurately reports stable proportions - both are right about different questions
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content_tags.findings[1]0.95the tagger's words
content_tagstranscriptomic markers are not guaranteed to exist for a population, because the definition demands expression in one and only one cell type
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content_tags.findings[2]0.95the tagger's words
content_tagsPopulations lacking publicly available negative controls, with few positive samples, or with no identified markers were discarded.
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content_tags.findings[3]0.95the tagger's words
content_tagsThe screening discarded NCAM1 (CD56), a common NK-cell marker, because nervous malignant cells also express it.
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content_tags.findings[4]0.95the tagger's words
content_tagsScores correlated with known cell proportions in the RNA mixtures at Pearson 0.94 to 0.99.
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content_tags.findings[5]0.95the tagger's words
content_tagsthe limit of detection is below 2% of total sample RNA for every population assayed
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content_tags.findings[6]0.95the tagger's words
content_tagsmapping the scores onto percentages would require calibrating samples of known composition, and setting-specific tuning may still be needed
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content_tags.findings[7]0.95the tagger's words
content_tagsgene expression features expressed in one and only one cell population and whose expression shows little variation within that population - a definition the authors note is restrictive enough that such markers may not exist for a given population
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content_tags.definitions[0]0.95the tagger's words
content_tagsthe scale of an MCP-counter score: linearly correlated with abundance, dependent on the gene expression platform, and comparable only between samples run on the same platform
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content_tags.definitions[1]0.95the tagger's words
content_tagsthe Pearson correlations between scores and known RNA proportions in the in vitro mixtures
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content_tags.quantities[0]0.95the tagger's words
content_tagsthe AUC floor for every signature across 4804 validation samples
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content_tags.quantities[1]0.95the tagger's words
content_tagsthe upper bound on the limit of detection for every population assayed - from 1/950 to 1/50 of total RNA depending on which
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also in: 2 %
content_tags.quantities[2]0.95the tagger's words
content_tagstumour cell line samples included as negative controls, from 21 non-hematopoietic cancer types
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content_tags.quantities[3]0.95the tagger's words
content_tagsAUC
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also in: AUC
content_tags.statistics[0]0.95the tagger's words
content_tagsPearson
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also in: Pearson
content_tags.statistics[1]0.95the tagger's words
content_tagsarbitrary units
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content_tags.variables[0]0.95the tagger's words
content_tagslimit of detection
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content_tags.variables[1]0.95the tagger's words

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