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Hematopoiesis

Hematopoiesis

The process of blood cell formation is called hematopoiesis. Hematopoiesis starts early during development, on the seventh day of embryogenesis. This phase of hematopoiesis is called the primitive wave, wherein the extraembryonic yolk sac allows the production of erythroid cells and endothelial cells from a common precursor called hemangioblast. The erythroid cells provide oxygen to support the growth of the rapidly dividing embryo. Hemangioblasts later develop into hematopoietic stem cells or...

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Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Published on: November 9, 2019

A Web-Based Calculator for Hematopoietic Progenitor Cell Collections: App Development and Retrospective Assessment.

Maxwell T Roth¹, Jun Liu^1,2, Sanjana B Shah³

¹Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Journal of Clinical Apheresis

|December 11, 2025

Summary

This summary is machine-generated.

A new app estimates whole blood (WB) volume for hematopoietic progenitor cell apheresis. Using the Collection Efficiency 2 (CE2) model, it aims to optimize CD34+ cell collection, potentially reducing processing time and over-collection risks.

Keywords:

CD34+ cell CE2 HPC apheresis calculator shiny web‐app

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Area of Science:

Hematology
Cellular Therapy
Biotechnology

Background:

Determining optimal whole blood (WB) volume for hematopoietic progenitor cell apheresis is crucial for achieving CD34+ cell collection goals.
Current methods may lead to inefficient processing or over-collection.

Purpose of the Study:

To develop and evaluate a web-based calculator app utilizing the Collection Efficiency 2 (CE2) model.
To estimate personalized WB processing volumes for achieving specific CD34+ cell collection targets.

Main Methods:

Development of a web-based calculator app based on the CE2 model.
Retrospective analysis of apheresis collection data from two academic medical centers.
Comparison of app-recommended WB volumes against actual processed volumes.

Main Results:

Actual processed WB volumes were often higher than the app's recommendations.
The app predicted a low frequency of under-collection events if its recommendations were followed.
Utilizing the app could potentially reduce total WB processing volumes.

Conclusions:

The CE2 model-based app offers a promising tool for optimizing WB processing volumes in CD34+ cell apheresis.
The app may help minimize over-collection and apheresis time while maintaining a low risk of under-collection.
Personalized volume estimation can enhance the efficiency and effectiveness of hematopoietic progenitor cell collection.