Evidence map›Paper›PMID 30678108›Full record

ArticleGenes2019

Genome Assembly and Annotation of the Trichoplusia ni Tni-FNL Insect Cell Line Enabled by Long-Read Technologies.

Keyur Talsania, Monika Mehta, Castle Raley, Yuliya Kriga, Sujatha Gowda, Carissa Grose, Matthew Drew, Veronica Roberts, Kwong Tai Cheng, Sandra Burkett and 12 more

Abstract read
In one paragraph

Article in Genes, 2019. 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
–field-weighted citation impact
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.

  1. Article
  2. Advancing insect research through cell line transcriptomics.In vitro cellular & developmental biology. Animal · 2026
    Review
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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

22 authors.

Keyur TalsaniaAdvanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21701, USA. keyur.talsania@nih.gov.
Monika MehtaCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. monika.mehta@nih.gov.
Castle RaleyCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. castleraley@gwu.edu.
Yuliya KrigaCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. krigay@mail.nih.gov.
Sujatha GowdaCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. sujatha.gowda2@nih.gov.
Carissa GroseNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. carissa.grose@nih.gov.
Matthew DrewNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. matt.drew@nih.gov.
Veronica RobertsNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. veronica.roberts@nih.gov.
Kwong Tai ChengNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. xiongfong.chen2@nih.gov.
Sandra BurkettComparative Molecular Cytogenetics Core Facility, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21701, USA. sandra.burkett@nih.gov.
Steffen OeserBionano Genomics, San Diego, CA 92121, USA. soeser@bionanogenomics.com.
Robert StephensNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. stephensr@mail.nih.gov.
Daniel SoppetCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. soppetdr@mail.nih.gov.
Xiongfeng ChenAdvanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21701, USA. xiongfong.chen2@nih.gov.
Parimal KumarCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. parimal.kumar@nih.gov.
Oksana GermanCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. oksana.german@nih.gov.
Tatyana SmirnovaCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. tatyana.smirnova@nih.gov.
Christopher HautmanCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. christopher.hautman@nih.gov.
Jyoti ShettyCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. jyoti.shetty@nih.gov.
Bao TranCancer Research Technology Program, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. bao.tran@nih.gov.
Yongmei ZhaoAdvanced Biomedical Computational Science, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, MD 21701, USA. yongmei.zhao@nih.gov.ORCID 0000-0003-0800-4658
Dominic EspositoNCI RAS Initiative, Frederick National Laboratory for Cancer Research Sponsored by the National Cancer Institute, Frederick, MD 21701, USA. dominic.esposito@nih.gov.

Funding

NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

background

methodsBy integration of PacBio single-molecule sequencing, Bionano optical mapping, and 10X Genomics linked-reads data, we have produced a draft genome assembly of Tni-FNL.

resultsOur assembly contains 280 scaffolds, with a N50 scaffold size of 2.3 Mb and a total length of 359 Mb. Annotation of the Tni-FNL genome resulted in 14,101 predicted genes and 93.2% of the predicted proteome contained recognizable protein domains. Ortholog searches within the superorder

conclusionsThis first draft Tni-FNL genome assembly was enabled by complementary long-read technologies and represents a high-quality, well-annotated genome that provides novel insight into the complexity of this insect cell line and can serve as a reference for future large-scale genome engineering work in this and other similar recombinant protein production hosts.

Indexed as

Genome, InsectMolecular Sequence AnnotationAnimalsCell LineContig MappingHigh-Throughput Nucleotide SequencingInsect ProteinsLepidopteraProtein DomainsSequence Analysis, DNAInsect Proteinsde novo assemblyinsect genomenext generation sequencingoptical mappingPacBio single molecule real-time sequencingTricoplusia ni

Identifiers

PMID30678108
PMCPMC6409714

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.