Evidence map›Paper›PMID 32429145›Full record

ArticleMetabolites2020

Using Metabolomics to Identify Cell Line-Independent Indicators of Growth Inhibition for Chinese Hamster Ovary Cell-based Bioprocesses.

Nicholas Alden, Ravali Raju, Kyle McElearney, James Lambropoulos, Rashmi Kshirsagar, Alan Gilbert, Kyongbum Lee

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Nicholas AldenDepartment of Chemical and Biological Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Ravali RajuBiogen, 225 Binney St, Cambridge, MA 02142, USA.
Kyle McElearneyBiogen, 225 Binney St, Cambridge, MA 02142, USA.
James LambropoulosBiogen, 225 Binney St, Cambridge, MA 02142, USA.
Rashmi KshirsagarBiogen, 225 Binney St, Cambridge, MA 02142, USA.
Alan GilbertBiogen, 225 Binney St, Cambridge, MA 02142, USA.
Kyongbum LeeDepartment of Chemical and Biological Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Biogen (United States) · USTufts University · US

Funding

Biogen n/aNIH HHS CA211839-01
6 · The paper itself

Abstract

Chinese hamster ovary (CHO) cells are widely used for the production of biopharmaceuticals. Efforts to improve productivity through medium design and feeding strategy optimization have focused on preventing the depletion of essential nutrients and managing the accumulation of lactate and ammonia. In addition to ammonia and lactate, many other metabolites accumulate in CHO cell cultures, although their effects remain largely unknown. Elucidating these effects has the potential to further improve the productivity of CHO cell-based bioprocesses. This study used untargeted metabolomics to identify metabolites that accumulate in fed-batch cultures of monoclonal antibody (mAb) producing CHO cells. The metabolomics experiments profiled six cell lines that are derived from two different hosts, produce different mAbs, and exhibit different growth profiles. Comparing the cell lines' metabolite profiles at different growth stages, we found a strong negative correlation between peak viable cell density (VCD) and a tryptophan metabolite, putatively identified as 5-hydroxyindoleacetaldehyde (5-HIAAld). Amino acid supplementation experiments showed strong growth inhibition of all cell lines by excess tryptophan, which correlated with the accumulation of 5-HIAAld in the culture medium. Prospectively, the approach presented in this study could be used to identify cell line- and host-independent metabolite markers for clone selection and bioprocess development.

Indexed as

5-hydroxyindoleacetaldehydeChinese hamster ovary cellgrowth inhibitortryptophanuntargeted metabolomics

Identifiers

PMID32429145
PMCPMC7281457
OpenAlexW3025826237

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.