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Record W2012479859 · doi:10.1634/stemcells.19-2-99

Autocrine/Paracrine Mechanisms in Human Hematopoiesis

2001· review· nl· W2012479859 on OpenAlex
Anna Janowska‐Wieczorek, Marcin Majka, Janina Ratajczak, Mariusz Z. Ratajczak

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueStem Cells · 2001
Typereview
Languagenl
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity of Alberta
FundersNational Heart, Lung, and Blood InstituteNational Institutes of HealthCanadian Blood Services
KeywordsAutocrine signallingParacrine signallingBiologyHaematopoiesisCrosstalkCell biologyChemokineStem cellImmunologyImmune systemCell cultureGeneticsReceptor

Abstract

fetched live from OpenAlex

Autocrine/paracrine regulatory mechanisms are believed to play a role in the pathophysiology of several hematologic malignancies. Evidence is accumulating that various growth factors, cytokines, and chemokines are expressed and secreted by normal early and differentiated hematopoietic cells and thus could also regulate normal hematopoiesis in an autocrine/paracrine manner. In this review we summarize recent advances in identification and understanding of the role of autocrine/paracrine axes in the growth of both malignant and normal human hematopoietic cells. Better understanding of intercellular crosstalk operating in normal and pathological states and the mechanisms regulating synthesis of these endogenously produced factors (potential targets for various pharmacological approaches) may allow us to improve antileukemia treatments, undertake more efficient ex vivo stem cell expansion, and develop other therapeutic strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.017

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.044
GPT teacher head0.320
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it