Analysis of Lymphocyte Specific Protein‐1 (LSP‐1) expression in normal primary rat hepatocytes and liver following partial hepatectomy
Bibliographic record
Abstract
Hepatocellular carcinoma (HCC), the most frequently diagnosed form of liver cancer, is associated with high mortality rates. A recent finding of our laboratory shows that a portion of the gene for lymphocyte‐specific protein 1 (LSP1), an intracellular F‐actin binding protein expressed in neutrophils, macrophages and endothelial cells, is deleted or amplified in a majority of HCCs evaluated. The deletions of LSP‐1 correlated with large tumor size indicating that LSP‐1 may play an inhibitory role in hepatocyte growth. Based on these findings, we hypothesize that LSP‐1 expression is a critical regulator of cellular growth underlying HCC development. However, the expression of LSP‐1 in hepatocytes and normal liver remains to be elucidated. Utilizing immunoblotting and Reverse Transcriptase PCR (RT‐PCR), we examined the total protein and mRNA expression of LSP‐1 in primary rat hepatocytes in vitro and in rat liver tissue after partial hepatectomy. In the rat, LSP‐1 has three known splicing variants; therefore we will examine the expression of the isoforms of LSP‐1 using RT‐PCR with isoform specific LSP‐1 primers. Results from both immunoblotting and RT‐PCR experiments indicate that primary rat hepatocytes and tissue from partial hepatectomized livers express LSP‐1 and that the expression correlates inversely with the rate of growth. Future studies aim to address the function of LSP‐1 in normal and diseased liver states and whether LSP‐1 plays a critical role in hepatocyte growth. Research supported by grant 5T32HL094295‐02.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".