MétaCan
Menu
← Back to cohort

TMED2 is Required for Trophoblast Migration, Differentiation, and Proliferation

2020· article· en· W3016535265 on OpenAlexaffabout
Rachel Aber, Caroline Kaiser, Libin Yuan, Loydie A. Jerome‐Majewska

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsMcGill University
Fundersnot available
KeywordsCell biologyTrophoblastCell migrationBiologyHEK 293 cellsCell growthMutantCellReceptorPlacentaGeneticsGene

Abstract

fetched live from OpenAlex

Essential cargo receptors, specifically members of the Transmembrane emp24 domain (TMED) protein family, are implicated in numerous cellular morphogenesis. The localization and levels of TMED proteins are tightly controlled to regulate cell survival, migration, and proliferation. TMED proteins have an N‐terminal coiled‐coil region essential for interactions with TMED partners and a Golgi dynamics (GOLD) domain required for heterodimerization and cargo recognition. Although the structure of TMED2 is known, the function of TMED2 in placental development remains poorly understood. Mouse embryos homozygous for a null mutation in the signal sequence of TMED2 died at midgestation from failure to form a placental labyrinth layer. Moreover, ex vivo cultures of pre‐attachment chorion and allantois suggest that cell‐type‐specific transport of fibronectin and VCAM1, by TMED2, is required for chorionic‐allantoic cell communication and for trophoblast differentiation. Thus, we hypothesize that events necessary for labyrinth layer formation such as trophoblast migration and syncytiotrophoblast fusion, require functional TMED2. To test the role of TMED2 in cell migration and survival, we conducted scratch and viability assays in HEK293 cells overexpressing wild‐type and mutant TMED2. We also tested the effects of mutating residues in the GOLD domain of TMED2, E48 and K91, that are predicted to be involved in heterodimerization with TMED10. We found that HEK293 cells overexpressing wild‐type TMED2 displayed reduced cell migration and increased ER stress. Similarly, overexpression of mutant TMED2‐E48Q, resulted in a comparable reduction in cell migration. However, cells overexpressing TMED2‐K91R, showed increased cell migration and viability compared to TMED2 and TMED2‐E48Q cells. To more precisely investigate the absence of a labyrinth layer in TMED2 deficient embryos, we conducted proliferation and fusion studies in two human choriocarcinoma cell lines: JEG‐3 and BeWo. Overexpression of wild type TMED2 in JEG‐3 cells was sufficient for syncytiotrophoblast fusion; however, knockdown of TMED2 in BeWo cells inhibited fusion, supporting a requirement for TMED2 in this process. Moreover, proliferation and metabolic activity assays revealed that knockdown of TMED2 in BeWo cells increased cell proliferation and decreased cell migration. Overall, our data suggest that levels of TMED2 must be tightly regulated for cell proliferation and viability. In addition, we found that the K91 residue of TMED2, which is predicted to help mediate heterodimerization with TMED10 is important for TMED2 function. We propose that the abnormalities displayed by embryos and cells deficient in or overexpressing TMED2 reflect the inadequate transport and localization of fibronectin and likely more unidentified proteins critical for regulating proliferation and migration of trophoblast cells. Support or Funding Information Natural Sciences and Engineering Research Council of Canada

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.259
Teacher spread0.231 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicPrenatal Screening and Diagnostics→French-language works237,207→