Evidence map›Paper›PMID 26496164›Full record

ArticleAnalytical chemistry2015

Identifying States along the Hematopoietic Stem Cell Differentiation Hierarchy with Single Cell Specificity via Raman Spectroscopy.

Yelena Ilin, Ji Sun Choi, Brendan A C Harley, Mary L Kraft

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

  1. Noninvasive andThe Analyst · 2025
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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

4 authors at 1 institution in 1 country.

Yelena IlinDepartment of Chemical and Biomolecular Engineering, ‡Carle R. Woese Institute for Genomic Biology, and §Department of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Ji Sun ChoiDepartment of Chemical and Biomolecular Engineering, ‡Carle R. Woese Institute for Genomic Biology, and §Department of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Brendan A C HarleyDepartment of Chemical and Biomolecular Engineering, ‡Carle R. Woese Institute for Genomic Biology, and §Department of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Mary L KraftDepartment of Chemical and Biomolecular Engineering, ‡Carle R. Woese Institute for Genomic Biology, and §Department of Chemistry, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
University of Illinois Urbana-Champaign · US

Funding

Training Program in Chemistry-Interface with BiologyT32GM070421 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI HERGENROTHER, PAUL · 2005 to 2019
$5.4M
Gradient Biomaterials to Investigate Niche Regulation of HematopoiesisR01DK099528 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Brendan A. Harley · 2014 to 2026
$4.0M
Label-free interrogation of heterogeneities in HSC fate decision signaturesR21EB018481 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HARLEY, BRENDAN A. · 2015 to 2016
$420k
NIBIB NIH HHS R21 EB018481NIDDK NIH HHS R01 DK099528NIGMS NIH HHS T32 GM070421
6 · The paper itself

Abstract

A major challenge for expanding specific types of hematopoietic cells ex vivo for the treatment of blood cell pathologies is identifying the combinations of cellular and matrix cues that direct hematopoietic stem cells (HSC) to self-renew or differentiate into cell populations ex vivo. Microscale screening platforms enable minimizing the number of rare HSCs required to screen the effects of numerous cues on HSC fate decisions. These platforms create a strong demand for label-free methods that accurately identify the fate decisions of individual hematopoietic cells at specific locations on the platform. We demonstrate the capacity to identify discrete cells along the HSC differentiation hierarchy via multivariate analysis of Raman spectra. Notably, cell state identification is accurate for individual cells and independent of the biophysical properties of the functionalized polyacrylamide gels upon which these cells are cultured. We report partial least-squares discriminant analysis (PLS-DA) models of single cell Raman spectra enable identifying four dissimilar hematopoietic cell populations across the HSC lineage specification. Successful discrimination was obtained for a population enriched for long-term repopulating HSCs (LT-HSCs) versus their more differentiated progeny, including closely related short-term repopulating HSCs (ST-HSCs) and fully differentiated lymphoid (B cells) and myeloid (granulocytes) cells. The lineage-specific differentiation states of cells from these four subpopulations were accurately identified independent of the stiffness of the underlying biomaterial substrate, indicating subtle spectral variations that discriminated these populations were not masked by features from the culture substrate. This approach enables identifying the lineage-specific differentiation stages of hematopoietic cells on biomaterial substrates of differing composition and may facilitate correlating hematopoietic cell fate decisions with the extrinsic cues that elicited them.

Indexed as

Cell DifferentiationSingle-Cell AnalysisSpectrum Analysis, RamanAnimalsB-LymphocytesCells, CulturedGranulocytesHematopoietic Stem CellsLeast-Squares AnalysisMiceMice, Inbred C57BL

Identifiers

PMID26496164
PMCPMC4687963
OpenAlexW2473793589

What OpenQuestion holds

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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.