Evidence map›Paper›PMID 25541736›Full record

ArticlePloS one2014

The transcriptomic and proteomic landscapes of bone marrow and secondary lymphoid tissues.

Sandra Andersson, Kenneth Nilsson, Linn Fagerberg, Björn M Hallström, Christer Sundström, Angelika Danielsson, Karolina Edlund, Mathias Uhlen, Anna Asplund

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Multi-omics analyses reveal aberrant differentiation trajectory with WNT1 loss-of-function in type XV osteogenesis imperfecta.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2024
    Article
  2. Article
  3. Hematopoietic stem cells and betaherpesvirus latency.Frontiers in cellular and infection microbiology · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. The Human Protein Atlas-Spatial localization of the human proteome in health and disease.Protein science : a publication of the Protein Society · 2021
    Article
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

9 authors at 4 institutions in 2 countries.

Sandra AnderssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Kenneth NilssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Linn FagerbergScience for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
Björn M HallströmScience for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
Christer SundströmDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Angelika DanielssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Karolina EdlundDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Leibniz Research Centre for Working Environment and Human Factors (IfADo) at Dortmund TU, Dortmund, Germany.
Mathias UhlenScience for Life Laboratory, Royal Institute of Technology, Stockholm, Sweden.
Anna AsplundDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Uppsala University · SEKTH Royal Institute of Technology · SEScience for Life Laboratory · SETU Dortmund University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sequencing of the human genome has opened doors for global gene expression profiling, and the immense amount of data will lay an important ground for future studies of normal and diseased tissues. The Human Protein Atlas project aims to systematically map the human gene and protein expression landscape in a multitude of normal healthy tissues as well as cancers, enabling the characterization of both housekeeping genes and genes that display a tissue-specific expression pattern. This article focuses on identifying and describing genes with an elevated expression in four lymphohematopoietic tissue types (bone marrow, lymph node, spleen and appendix), based on the Human Protein Atlas-strategy that combines high throughput transcriptomics with affinity-based proteomics.

resultsAn enriched or enhanced expression in one or more of the lymphohematopoietic tissues, compared to other tissue-types, was seen for 693 out of 20,050 genes, and the highest levels of expression were found in bone marrow for neutrophilic and erythrocytic genes. A majority of these genes were found to constitute well-characterized genes with known functions in lymphatic or hematopoietic cells, while others are not previously studied, as exemplified by C19ORF59.

conclusionsIn this paper we present a strategy of combining next generation RNA-sequencing with in situ affinity-based proteomics in order to identify and describe new gene targets for further research on lymphatic or hematopoietic cells and tissues. The results constitute lists of genes with enriched or enhanced expression in the four lymphohematopoietic tissues, exemplified also on protein level with immunohistochemical images.

Indexed as

Gene Expression ProfilingProteomicsAppendixBone MarrowGenome, HumanHigh-Throughput Nucleotide SequencingHumansLymph NodesProteomeSpleenTranscriptomeProteome

Identifiers

PMID25541736
PMCPMC4277406
OpenAlexW2140070455

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.